This document discusses an anti-piracy screening system to prevent movie piracy in theaters. It begins with an introduction to the problem of movie piracy and discusses how piracy has impacted the movie industry. It then presents a block diagram of an anti-piracy screening system that uses infrared LEDs behind the screen and infrared receivers to detect attempts to record movies with cameras, which would interfere with the recording but be invisible to human eyes. Finally, it reviews several existing approaches and technologies for preventing movie piracy.
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...IRJET Journal
This document discusses a proposed real-time video surveillance system that utilizes machine learning, computer vision, and image processing algorithms. The system aims to detect and analyze objects of interest in CCTV footage in order to identify suspicious activities and assist authorities. It employs algorithms for face detection and recognition, as well as detection of weapons and abnormal movements. The system uses frameworks like OpenCV and TensorFlow to perform tasks like facial analysis, age and gender estimation, human pose estimation, and weapon detection in real-time video streams. It analyzes existing algorithms and evaluates their suitability for the system. The results of implementing and testing various algorithms on sample footage are also presented.
IRJET- A Review on Moving Object Detection in Video Forensics IRJET Journal
This document reviews research on moving object detection in video forensics. It discusses challenges in analyzing large amounts of surveillance video data and summarizes several papers that propose methods for tasks like video synopsis, abandoned object detection, person identification, copy-move forgery detection, and assessing evidence quality. The goal is to develop techniques for efficiently analyzing video evidence and detecting anomalies or tampering.
This document is a project report submitted by Nikhil D'Souza for his Master of Management Studies program. The report studies society's perceptions of electronic security surveillance (CCTV) for Zicom SaaS Pvt. Ltd. where Nikhil interned. It includes an introduction to Zicom, which is a pioneer in electronic security in India offering CCTV, access control, fire alarm, and remote managed security services. The report aims to analyze perceptions of CCTV usage and how to market CCTV security services to housing societies effectively. It covers literature reviewed, the research methodology, data analysis, findings, and recommendations.
This document advertises and provides an overview of a two-day training program on "Fighting Fraud with Digital Forensics" to be held on November 23rd and 24th in Singapore. The training will help participants detect, prevent, and arrest computer fraud within their organizations. It provides details on course fees, payment methods, speaker biographies, and registration information. Topics to be covered include computer security basics, digital forensics techniques, data analysis tools, and case studies. The goal is to help attendees develop skills in digital investigations and computer forensics.
This technique detects inter-frame forgery in videos by analyzing prediction residual gradient (PRG) and optical flow gradient (OFG) between frames. It first extracts I and P frames and computes PRG and OFG. Thresholds are applied to identify spikes in these features indicating possible tampering. Original and forged videos are distinguished by checking for discontinuities or continuities in spike patterns. The technique was found to detect tampering with 90% accuracy regardless of video codec, recording device, bitrate, or number of tampered frames.
The ubiquitous and connected nature of camera loaded mobile devices has greatly estimated the value and importance of visual information they capture. Today, sending videos from camera phones uploaded by unknown users is relevant on news networks, and banking customers expect to be able to deposit checks using mobile devices. In this paper we represent Movee, a system that addresses the fundamental question of whether the visual stream exchange by a user has been captured live on a mobile device, and has not been tampered with by an adversary. Movee leverages the mobile device motion sensors and the inherent user movements during the shooting of the video. Movee exploits the observation that the movement of the scene recorded on the video stream should be related to the movement of the device simultaneously captured by the accelerometer. the last decade e-lecturing has become more and more popular. We model the distribution of correlation of temporal noise residue in a forged video as a Gaussian mixture model (GMM). We propose a twostep scheme to estimate the model parameters. Consequently, a Bayesian classifier is used to find the optimal threshold value based on the estimated parameters. Cyrus Deboo | Shubham Kshatriya | Rajat Bhat"Video Liveness Verification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12772.pdf http://www.ijtsrd.com/computer-science/other/12772/video-liveness-verification/cyrus-deboo
Dear Colleague,
In the asymmetrical realities of urban combat and mountainous terrain, as
well as in homeland defense areas of border patrol and maritime surveillance,
night vision systems have become crucial assets to maximize operational
advantage. As the US Military enters the seventh year of sustained combat in
OIF/OEF, the ability to conduct surveillance and operations under the cover of night
is of great concern to operators and commanders alike.
IDGA's 4th Annual Night Vision Systems will examine how the military, DHS, and
industry are evolving their technology requirements in this tough and dynamic
environment. It will bring attendees up to date on forward looking sensor technologies,
including a frank discussion on next generation low light level sensors and
imagers as potential successors to the image intensifier tube and the related
technological developments. Topics will include:
• New applications for Electro-Optic/Infrared Sensors
• Component Revolutions: Sensors, Displays, Processors, Optics
• System Capability Trade-Offs: Digital vs. Analog
• Networked Sensors Evolution and Current Status
• Maintaining and Utilizing Night Vision Systems in 24/7 High Intensity Operational
Environments
• Trade Controls: Policy & Procedure
IDGA’s 4th Annual Night Vision Systems will bring solution providers face to
face in one location with DoD & DHS program and procurement influencers to
discuss future night vision requirements and ways to get new systems and
technologies into the field quicker without compromising capability or
interoperability.
Join this discussion! Act now & reserve your place among the top night vision
experts at this critical event. Register today by calling 800-882-8684 or visiting
www.idga.org/us/nightvision.
I look forward to meeting you in July!
V/R,
Dr. Joseph Estrera
Senior VP and Chief Technology Officer
L-3 Electro-Optical Systems
2009 Night Vision Systems Conference Chair
8:00 am – 10:00 am 7:30 am Registration I2CMOS roadmap and options for customization!
Image Intensified (I2) CMOS cameras represent a low-risk technical
solution for digital night vision. I2 CMOS combines two proven and
reliable technologies into a single camera sensor using a common
aperture. This workshop provides system integrators with an
understanding of the technology, its usefulness in various night vision
applications and interface considerations.
What will be covered:
• I2CMOS Technology – principles of operation, how it is manufactured
and expected performance.
• I2CMOS Application – trades analysis and concept of operations.
• I2CMOS Integration – mechanical, electrical, communications, optical,
display, MMI and life-cycle management
• I2CMOS Maturation – plan for enhanced sensor performance and
added features.
How you will benefit:
• Interact directly with I2CMOS subject matter experts, gaining invaluable
insight into the technology, its operation, manufacture and performance
• Receive an analysis of other digital night vision camera technologies
and the strengths and weaknesses of each
• Gain a better understanding of the role I2CMOS can play in mounted,
dismounted, aerial and force protection/security operations
• Receive thorough training regarding the complete integration of
I2CMOS into a higher level assembly or system. Considerations for
integrators will include: mechanical, electrical, software,
communications, optical, display, man-machine interface and life cycle.
• Be presented with the I2CMOS roadmap and options for customization
– performance and form/fit/function
Session Leaders: Dr. Joseph Estrera, Senior VP and Chief Technology
Officer, and John Robinson Advanced Technologies Business
Development Manager, L-3 Electro-Optical Systems
A Primer on I2CMOS and its Applicability to System Integrators
10:15 am – 12:15 pm Understand NV component tech!
Modern combat operations necessitate the use of nig
This document discusses the history and development of artificial intelligence in Taiwan. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and generative models. The document provides examples of applications across different domains including image colorization, face generation, text summarization and machine translation. It also discusses challenges and ethical issues regarding the use of AI.
IRJET - Real-Time Analysis of Video Surveillance using Machine Learning a...IRJET Journal
This document discusses a proposed real-time video surveillance system that utilizes machine learning, computer vision, and image processing algorithms. The system aims to detect and analyze objects of interest in CCTV footage in order to identify suspicious activities and assist authorities. It employs algorithms for face detection and recognition, as well as detection of weapons and abnormal movements. The system uses frameworks like OpenCV and TensorFlow to perform tasks like facial analysis, age and gender estimation, human pose estimation, and weapon detection in real-time video streams. It analyzes existing algorithms and evaluates their suitability for the system. The results of implementing and testing various algorithms on sample footage are also presented.
IRJET- A Review on Moving Object Detection in Video Forensics IRJET Journal
This document reviews research on moving object detection in video forensics. It discusses challenges in analyzing large amounts of surveillance video data and summarizes several papers that propose methods for tasks like video synopsis, abandoned object detection, person identification, copy-move forgery detection, and assessing evidence quality. The goal is to develop techniques for efficiently analyzing video evidence and detecting anomalies or tampering.
This document is a project report submitted by Nikhil D'Souza for his Master of Management Studies program. The report studies society's perceptions of electronic security surveillance (CCTV) for Zicom SaaS Pvt. Ltd. where Nikhil interned. It includes an introduction to Zicom, which is a pioneer in electronic security in India offering CCTV, access control, fire alarm, and remote managed security services. The report aims to analyze perceptions of CCTV usage and how to market CCTV security services to housing societies effectively. It covers literature reviewed, the research methodology, data analysis, findings, and recommendations.
This document advertises and provides an overview of a two-day training program on "Fighting Fraud with Digital Forensics" to be held on November 23rd and 24th in Singapore. The training will help participants detect, prevent, and arrest computer fraud within their organizations. It provides details on course fees, payment methods, speaker biographies, and registration information. Topics to be covered include computer security basics, digital forensics techniques, data analysis tools, and case studies. The goal is to help attendees develop skills in digital investigations and computer forensics.
This technique detects inter-frame forgery in videos by analyzing prediction residual gradient (PRG) and optical flow gradient (OFG) between frames. It first extracts I and P frames and computes PRG and OFG. Thresholds are applied to identify spikes in these features indicating possible tampering. Original and forged videos are distinguished by checking for discontinuities or continuities in spike patterns. The technique was found to detect tampering with 90% accuracy regardless of video codec, recording device, bitrate, or number of tampered frames.
The ubiquitous and connected nature of camera loaded mobile devices has greatly estimated the value and importance of visual information they capture. Today, sending videos from camera phones uploaded by unknown users is relevant on news networks, and banking customers expect to be able to deposit checks using mobile devices. In this paper we represent Movee, a system that addresses the fundamental question of whether the visual stream exchange by a user has been captured live on a mobile device, and has not been tampered with by an adversary. Movee leverages the mobile device motion sensors and the inherent user movements during the shooting of the video. Movee exploits the observation that the movement of the scene recorded on the video stream should be related to the movement of the device simultaneously captured by the accelerometer. the last decade e-lecturing has become more and more popular. We model the distribution of correlation of temporal noise residue in a forged video as a Gaussian mixture model (GMM). We propose a twostep scheme to estimate the model parameters. Consequently, a Bayesian classifier is used to find the optimal threshold value based on the estimated parameters. Cyrus Deboo | Shubham Kshatriya | Rajat Bhat"Video Liveness Verification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12772.pdf http://www.ijtsrd.com/computer-science/other/12772/video-liveness-verification/cyrus-deboo
Dear Colleague,
In the asymmetrical realities of urban combat and mountainous terrain, as
well as in homeland defense areas of border patrol and maritime surveillance,
night vision systems have become crucial assets to maximize operational
advantage. As the US Military enters the seventh year of sustained combat in
OIF/OEF, the ability to conduct surveillance and operations under the cover of night
is of great concern to operators and commanders alike.
IDGA's 4th Annual Night Vision Systems will examine how the military, DHS, and
industry are evolving their technology requirements in this tough and dynamic
environment. It will bring attendees up to date on forward looking sensor technologies,
including a frank discussion on next generation low light level sensors and
imagers as potential successors to the image intensifier tube and the related
technological developments. Topics will include:
• New applications for Electro-Optic/Infrared Sensors
• Component Revolutions: Sensors, Displays, Processors, Optics
• System Capability Trade-Offs: Digital vs. Analog
• Networked Sensors Evolution and Current Status
• Maintaining and Utilizing Night Vision Systems in 24/7 High Intensity Operational
Environments
• Trade Controls: Policy & Procedure
IDGA’s 4th Annual Night Vision Systems will bring solution providers face to
face in one location with DoD & DHS program and procurement influencers to
discuss future night vision requirements and ways to get new systems and
technologies into the field quicker without compromising capability or
interoperability.
Join this discussion! Act now & reserve your place among the top night vision
experts at this critical event. Register today by calling 800-882-8684 or visiting
www.idga.org/us/nightvision.
I look forward to meeting you in July!
V/R,
Dr. Joseph Estrera
Senior VP and Chief Technology Officer
L-3 Electro-Optical Systems
2009 Night Vision Systems Conference Chair
8:00 am – 10:00 am 7:30 am Registration I2CMOS roadmap and options for customization!
Image Intensified (I2) CMOS cameras represent a low-risk technical
solution for digital night vision. I2 CMOS combines two proven and
reliable technologies into a single camera sensor using a common
aperture. This workshop provides system integrators with an
understanding of the technology, its usefulness in various night vision
applications and interface considerations.
What will be covered:
• I2CMOS Technology – principles of operation, how it is manufactured
and expected performance.
• I2CMOS Application – trades analysis and concept of operations.
• I2CMOS Integration – mechanical, electrical, communications, optical,
display, MMI and life-cycle management
• I2CMOS Maturation – plan for enhanced sensor performance and
added features.
How you will benefit:
• Interact directly with I2CMOS subject matter experts, gaining invaluable
insight into the technology, its operation, manufacture and performance
• Receive an analysis of other digital night vision camera technologies
and the strengths and weaknesses of each
• Gain a better understanding of the role I2CMOS can play in mounted,
dismounted, aerial and force protection/security operations
• Receive thorough training regarding the complete integration of
I2CMOS into a higher level assembly or system. Considerations for
integrators will include: mechanical, electrical, software,
communications, optical, display, man-machine interface and life cycle.
• Be presented with the I2CMOS roadmap and options for customization
– performance and form/fit/function
Session Leaders: Dr. Joseph Estrera, Senior VP and Chief Technology
Officer, and John Robinson Advanced Technologies Business
Development Manager, L-3 Electro-Optical Systems
A Primer on I2CMOS and its Applicability to System Integrators
10:15 am – 12:15 pm Understand NV component tech!
Modern combat operations necessitate the use of nig
This document discusses the history and development of artificial intelligence in Taiwan. It covers topics such as machine learning, deep learning, natural language processing, computer vision, and generative models. The document provides examples of applications across different domains including image colorization, face generation, text summarization and machine translation. It also discusses challenges and ethical issues regarding the use of AI.
Review on Quantum Watermarking TechniquesIRJET Journal
This document provides an overview of quantum watermarking techniques. It discusses how digital watermarking can be used to ensure security, authentication, and copyright protection of digital information. The document reviews various types of watermarking methods and their applications. It also examines previous research efforts in the area of image watermarking.
This document provides an overview and summary of wireless fundamentals and history. It includes sections on wireless modems and their basic elements, how wireless communication works, different modulation techniques used, performance over distance, wireless networks and spectrum, industry standards, and proprietary technologies. The summary aims to explain at a high level the basics of wireless technology and its evolution over time.
The proposed study aims to develop a class monitoring system using surveillance cameras for the College of Arts and Sciences at the Eulogio 'Amang' Rodriguez Institute of Science and Technology. The system would monitor classrooms to (1) improve security and awareness on campus, (2) track faculty attendance, and (3) observe classrooms. The researchers assume the system is needed to ensure classrooms are kept orderly and professors are attending classes as scheduled. If implemented, the monitoring system could provide useful information to analyze situations, identify problems, and ensure activities are carried out properly. The scope is limited to CAS classrooms, students, faculty and staff.
A Survey on Multimedia Content Protection Mechanisms IJECEIAES
Cloud computing has emerged to influence multimedia content providers like Disney to render their multimedia services. When content providers use the public cloud, there are chances to have pirated copies further leading to a loss in revenues. At the same time, technological advancements regarding content recording and hosting made it easy to duplicate genuine multimedia objects. This problem has increased with increased usage of a cloud platform for rendering multimedia content to users across the globe. Therefore it is essential to have mechanisms to detect video copy, discover copyright infringement of multimedia content and protect the interests of genuine content providers. It is a challenging and computationally expensive problem to be addressed considering the exponential growth of multimedia content over the internet. In this paper, we surveyed multimedia-content protection mechanisms which throw light on different kinds of multimedia, multimedia content modification methods, and techniques to protect intellectual property from abuse and copyright infringement. It also focuses on challenges involved in protecting multimedia content and the research gaps in the area of cloud-based multimedia content protection.
Presentation given at Progress and Freedom Foundation seminar, "What Goes Up Must Come Down: Copyright and Process in the Age of User-posted Content," March 2007, Washington, DC
Counterfeit electronics pose serious economic, national security, and safety threats, while reports of counterfeits have soared dramatically in recent years. This presents huge challenges for electronics manufacturing at a time when the United States has created strict new regulations for the detection and avoidance of counterfeit electronic parts.
In the National Defense Authorization Act (NDAA) for Fiscal 2012, the U.S. now requires that members at all tiers of its global defense supply chain put in place systems and processes to address counterfeits. It’s not exclusively a U.S. concern. The regulation and its mandatory flow down requirements will impact international companies participating in global defense and electronics value chains.
If matters couldn’t be more challenging, the semiconductor industry’s infamous silicone cycle is forecasted to enter into growth period in 2012 characterized by extended lead times, higher prices, and potential shortages – a vulnerable situation for counterfeiting to take off.
Join Supply & Demand Chain Executive as they host experts from IHS and ERAI who will share trends, insight, and information on new defense regulations, counterfeit electronics, and the semiconductor industry. They will discuss what you need to know about counterfeits, regulations, and risk in 2012.
- What are U.S. regulations for the detection and avoidance of counterfeit electronic parts?
- What tools, processes, and insight can be used to comply with regulations and avoid risk?
- What is the relationship between semiconductor industry trends and counterfeiting?
- Could industry price and availability metrics foretell pending counterfeit activity?
What products will have the greatest risk in the near future?
Serious cost, risk, and regulations threaten to transcend fragile supply chains already strained by natural disasters, Geo-political turmoil, and economic instability. Don't miss this chance to learn how to combat electronics price and counterfeit risk while helping comply with regulations. Join now.
Rick PiersonRick Pierson - Senior Analyst, Semiconductors/CPT, IHS iSuppli
Rick carries with him 21 years of combined experience in the semiconductor industry with an extensive background in semiconductor product manufacturing. Leading IHS iSuppli’s Component Price Tracking (CPT) Service, Rick is responsible for leading, creating and delivering research and analysis on the electronics components market. Rick delivers business analysis and actionable advice to the suppliers and buyers of electronic components used across the electronics value chain.
Rick PiersonKristal Snider - Vice President, ERAI, Inc.
With almost two decades of experience, Kristal Snider has developed a keen understanding of the problems affecting the global electronics supply chain. Kristal is responsible for mana
This document discusses using video surveillance systems in schools to improve security. It provides background on the development of surveillance cameras and their increasing use. The key issues discussed are the need for improved school safety, the large amounts of video data generated that require automated analysis, and focusing cameras on areas of high importance. The objectives are to understand the technology and its benefits for security, but also its potential effects on privacy. A conceptual framework is presented outlining the input, process and output of a video surveillance system.
mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
The document discusses improving the security system of the Eulogio "Amang" Rodriguez Institute of Science and Technology. It begins by describing the school's current security risks and needs for improvement. It then proposes a new digital security system with voice features to monitor temperature, smoke, motion, and doors/windows in real-time. The objectives are to provide effective security and protection for students and staff through intruder detection and hazard monitoring.
mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
The document discusses the background and objectives of using video surveillance systems in schools. It provides context on the history and development of surveillance cameras. Specifically, it outlines safety concerns in schools that surveillance could address, like the example of a shooting at a Philippine university. The conceptual framework shows installing surveillance equipment as an input, monitoring and analyzing footage as the process, and creating a safer learning environment as the output. Overall the document introduces the topic of incorporating surveillance technologies into school security systems.
1) Digital cinema industry suffers huge losses from illegal recording of movies in theaters. The proposed system uses an IR camera to determine the location of cameras illegally recording movies by applying Fractional Spline wavelet Transform and Location Tracking Algorithm techniques.
2) The system was implemented using an IR camera, Matlab 18a, and the Matlab Image Processing Toolbox. Experimental results validated that the system could accurately determine the position of cameras in a theater.
3) By locating illegally recording cameras, this system may help deter piracy and reduce losses for the digital cinema industry.
IRJET- Movie Piracy Tracking using Temporal Psycovisual ModulationIRJET Journal
This document proposes a new method called Temporal Psycho visual Modulation (TPVM) to track movie piracy using invisible patterns embedded in films shown in theaters. TPVM uses differences in how the human eye and cameras perceive images to embed patterns that appear normal to viewers but create artifacts in illegal recordings. If a pirated recording is found online, its embedded pattern can be extracted to identify the theater and show time. The method aims to both deter piracy and trace illegally recorded content without degrading the viewing experience.
IRJET- Movie Piracy Tracking using Temporal Psycovisual ModulationIRJET Journal
This document proposes a new method called Temporal Psycho visual Modulation (TPVM) to track movie piracy using invisible patterns embedded in films shown in theaters. TPVM uses differences in how the human eye and cameras perceive images to embed patterns that appear normal to viewers but create artifacts in illegal recordings. If a pirated recording is found online, its embedded pattern can be extracted to identify the theater and show time. The method aims to both prevent piracy and trace illegally recorded content without degrading the viewing experience.
A Thorough Study on Video Integrity using Blockchainijtsrd
There has been an increase in the surveillance of public as well as private areas due to the immense increase in crime. This increase in crime rates has been instrumental in the development of CCTV cameras and other imaging devices for monitoring purposes. This has provided an increased convenience and ease of mind for the businesses as well as residences. The surveillance also provides an effective deterrence against the criminals and their activities. The surveillance footage can be utilized as incriminating evidence against the perpetrator. But the problem with this approach is maintaining the integrity of the video against tampering and other effects. Some techniques and tools can alter a video and change the integrity of the video, while the result is imperceptible to the naked eye. Therefore, the maintenance of the integrity of the video is an extremely necessary component of surveillance devices at cloud or personal storages. The analysis of the related work has been instrumental in achieving our methodology that is based on RSA encryption and Blockchain Platform Nikhil Bhusari | Tejaswini Kshirsagar | Akash Chandlekar | Apurva Borude | Kiran Gaikwad | Anuja Palhade "A Thorough Study on Video Integrity using Blockchain" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38066.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38066/a-thorough-study-on-video-integrity-using-blockchain/nikhil-bhusari
Advance Intelligent Video Surveillance System Using OpenCVIRJET Journal
This document describes the development of an intelligent video surveillance system using OpenCV. The proposed system aims to reduce electricity usage and storage needs by only recording video when human presence is detected, as opposed to continuous recording. It utilizes a camera initialized through OpenCV to capture video frames. The frames are converted to grayscale and analyzed using a Haar cascade classifier to detect human faces. If a face is detected, recording begins. If no motion is detected for several seconds, recording will stop. The recorded videos are stored locally. This approach is well-suited for locations with intermittent human presence, where continuous recording is unnecessary. It allows for more efficient use of resources than traditional CCTV.
A detailed review on Video SteganographyIRJET Journal
This document provides a summary of previous research on video steganography. It discusses several papers that proposed different techniques for video steganography, including using a binary attention mechanism to hide information in video frames, dual-channel embedding to make the hidden data robust against video transcoding, and using a convolutional neural network model called VStegNET. It also summarizes research on hiding encrypted data within video files and using techniques like genetic algorithms and AES encryption for steganography. Overall, the document reviews a variety of approaches that have been developed for video steganography and hiding secret information in video content.
Real-time Anomaly Detection and Alert System for Video SurveillanceIRJET Journal
The document describes a proposed real-time video surveillance system that uses deep learning models to detect and classify anomalies such as theft, unauthorized access, and burglary. The system would use CenterNet and Graph Convolutional Networks to detect anomalies in real-time CCTV footage. When anomalies are detected, alerts would be sent to police stations using Twilio Video API. Information about anomalies would be stored in a database including type, severity, and location. The system aims to enhance security by automating anomaly detection and response in video surveillance.
Event Detection Using Background Subtraction For Surveillance SystemsIRJET Journal
The document describes a proposed system for detecting suspicious events using background subtraction for surveillance systems. The system first obtains foreground objects using background subtraction. The foreground objects are then classified as people or suspicious objects and tracked over time using blob matching. By analyzing the temporal and spatial properties of the tracked blobs, activities are classified as normal or suspicious, such as theft of objects. The system aims to more efficiently detect suspicious human behavior and objects for applications such as security and surveillance.
IRJET - Using Convolutional Neural Network in Surveillance Videos for Recogni...IRJET Journal
This document proposes a system to detect suspicious human activities in examination surveillance videos using a convolutional neural network model. It extracts optical flow features from video data and uses a 3D CNN for activity recognition. The system can recognize activities like object exchange, peering at answers, and person swapping. It detects these activities by recognizing faces, hands, and contact between hands and faces of different people. The model achieves better performance than other methods in detecting four abnormal behaviors from examination videos. It provides automated suspicious activity detection to help monitor examinations more accurately.
This document summarizes a research paper that describes the development of a motion detection system using video input. The system is designed to detect motion in live video streams and then activate an alarm and save the video footage. The system was created using MATLAB which allows for video acquisition and processing. When motion is detected between frames, the difference is compared to a threshold. If exceeded, an alarm activates and the video is saved. The goal is to develop surveillance systems that can actively detect and respond to crimes in progress, rather than just passively record evidence afterward.
IRJET- Intruder Detection System using Camera with Alert ManagementIRJET Journal
This document describes a proposed intruder detection system using a camera. The system would work as follows:
1. A camera would continuously capture video frames and an image processing processor would compare the latest frame to a static threshold frame to detect differences.
2. If a difference is detected above a certain threshold using a sum of absolute differences (SAD) algorithm, it would indicate a potential intruder.
3. The system would then raise an alert if an intruder is confirmed, such as sending an email or message with the captured photo of the intruder.
The goal is to create an affordable intruder detection system that can detect intruders and raise alerts, providing security for places when unattended.
Review on Quantum Watermarking TechniquesIRJET Journal
This document provides an overview of quantum watermarking techniques. It discusses how digital watermarking can be used to ensure security, authentication, and copyright protection of digital information. The document reviews various types of watermarking methods and their applications. It also examines previous research efforts in the area of image watermarking.
This document provides an overview and summary of wireless fundamentals and history. It includes sections on wireless modems and their basic elements, how wireless communication works, different modulation techniques used, performance over distance, wireless networks and spectrum, industry standards, and proprietary technologies. The summary aims to explain at a high level the basics of wireless technology and its evolution over time.
The proposed study aims to develop a class monitoring system using surveillance cameras for the College of Arts and Sciences at the Eulogio 'Amang' Rodriguez Institute of Science and Technology. The system would monitor classrooms to (1) improve security and awareness on campus, (2) track faculty attendance, and (3) observe classrooms. The researchers assume the system is needed to ensure classrooms are kept orderly and professors are attending classes as scheduled. If implemented, the monitoring system could provide useful information to analyze situations, identify problems, and ensure activities are carried out properly. The scope is limited to CAS classrooms, students, faculty and staff.
A Survey on Multimedia Content Protection Mechanisms IJECEIAES
Cloud computing has emerged to influence multimedia content providers like Disney to render their multimedia services. When content providers use the public cloud, there are chances to have pirated copies further leading to a loss in revenues. At the same time, technological advancements regarding content recording and hosting made it easy to duplicate genuine multimedia objects. This problem has increased with increased usage of a cloud platform for rendering multimedia content to users across the globe. Therefore it is essential to have mechanisms to detect video copy, discover copyright infringement of multimedia content and protect the interests of genuine content providers. It is a challenging and computationally expensive problem to be addressed considering the exponential growth of multimedia content over the internet. In this paper, we surveyed multimedia-content protection mechanisms which throw light on different kinds of multimedia, multimedia content modification methods, and techniques to protect intellectual property from abuse and copyright infringement. It also focuses on challenges involved in protecting multimedia content and the research gaps in the area of cloud-based multimedia content protection.
Presentation given at Progress and Freedom Foundation seminar, "What Goes Up Must Come Down: Copyright and Process in the Age of User-posted Content," March 2007, Washington, DC
Counterfeit electronics pose serious economic, national security, and safety threats, while reports of counterfeits have soared dramatically in recent years. This presents huge challenges for electronics manufacturing at a time when the United States has created strict new regulations for the detection and avoidance of counterfeit electronic parts.
In the National Defense Authorization Act (NDAA) for Fiscal 2012, the U.S. now requires that members at all tiers of its global defense supply chain put in place systems and processes to address counterfeits. It’s not exclusively a U.S. concern. The regulation and its mandatory flow down requirements will impact international companies participating in global defense and electronics value chains.
If matters couldn’t be more challenging, the semiconductor industry’s infamous silicone cycle is forecasted to enter into growth period in 2012 characterized by extended lead times, higher prices, and potential shortages – a vulnerable situation for counterfeiting to take off.
Join Supply & Demand Chain Executive as they host experts from IHS and ERAI who will share trends, insight, and information on new defense regulations, counterfeit electronics, and the semiconductor industry. They will discuss what you need to know about counterfeits, regulations, and risk in 2012.
- What are U.S. regulations for the detection and avoidance of counterfeit electronic parts?
- What tools, processes, and insight can be used to comply with regulations and avoid risk?
- What is the relationship between semiconductor industry trends and counterfeiting?
- Could industry price and availability metrics foretell pending counterfeit activity?
What products will have the greatest risk in the near future?
Serious cost, risk, and regulations threaten to transcend fragile supply chains already strained by natural disasters, Geo-political turmoil, and economic instability. Don't miss this chance to learn how to combat electronics price and counterfeit risk while helping comply with regulations. Join now.
Rick PiersonRick Pierson - Senior Analyst, Semiconductors/CPT, IHS iSuppli
Rick carries with him 21 years of combined experience in the semiconductor industry with an extensive background in semiconductor product manufacturing. Leading IHS iSuppli’s Component Price Tracking (CPT) Service, Rick is responsible for leading, creating and delivering research and analysis on the electronics components market. Rick delivers business analysis and actionable advice to the suppliers and buyers of electronic components used across the electronics value chain.
Rick PiersonKristal Snider - Vice President, ERAI, Inc.
With almost two decades of experience, Kristal Snider has developed a keen understanding of the problems affecting the global electronics supply chain. Kristal is responsible for mana
This document discusses using video surveillance systems in schools to improve security. It provides background on the development of surveillance cameras and their increasing use. The key issues discussed are the need for improved school safety, the large amounts of video data generated that require automated analysis, and focusing cameras on areas of high importance. The objectives are to understand the technology and its benefits for security, but also its potential effects on privacy. A conceptual framework is presented outlining the input, process and output of a video surveillance system.
mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
The document discusses improving the security system of the Eulogio "Amang" Rodriguez Institute of Science and Technology. It begins by describing the school's current security risks and needs for improvement. It then proposes a new digital security system with voice features to monitor temperature, smoke, motion, and doors/windows in real-time. The objectives are to provide effective security and protection for students and staff through intruder detection and hazard monitoring.
mission model, mission model canvas, customer development, Hacking for Defense, lean startup, stanford, startup, steve blank, Pete Newell, Joe Felter, minimum viable product
The document discusses the background and objectives of using video surveillance systems in schools. It provides context on the history and development of surveillance cameras. Specifically, it outlines safety concerns in schools that surveillance could address, like the example of a shooting at a Philippine university. The conceptual framework shows installing surveillance equipment as an input, monitoring and analyzing footage as the process, and creating a safer learning environment as the output. Overall the document introduces the topic of incorporating surveillance technologies into school security systems.
1) Digital cinema industry suffers huge losses from illegal recording of movies in theaters. The proposed system uses an IR camera to determine the location of cameras illegally recording movies by applying Fractional Spline wavelet Transform and Location Tracking Algorithm techniques.
2) The system was implemented using an IR camera, Matlab 18a, and the Matlab Image Processing Toolbox. Experimental results validated that the system could accurately determine the position of cameras in a theater.
3) By locating illegally recording cameras, this system may help deter piracy and reduce losses for the digital cinema industry.
IRJET- Movie Piracy Tracking using Temporal Psycovisual ModulationIRJET Journal
This document proposes a new method called Temporal Psycho visual Modulation (TPVM) to track movie piracy using invisible patterns embedded in films shown in theaters. TPVM uses differences in how the human eye and cameras perceive images to embed patterns that appear normal to viewers but create artifacts in illegal recordings. If a pirated recording is found online, its embedded pattern can be extracted to identify the theater and show time. The method aims to both deter piracy and trace illegally recorded content without degrading the viewing experience.
IRJET- Movie Piracy Tracking using Temporal Psycovisual ModulationIRJET Journal
This document proposes a new method called Temporal Psycho visual Modulation (TPVM) to track movie piracy using invisible patterns embedded in films shown in theaters. TPVM uses differences in how the human eye and cameras perceive images to embed patterns that appear normal to viewers but create artifacts in illegal recordings. If a pirated recording is found online, its embedded pattern can be extracted to identify the theater and show time. The method aims to both prevent piracy and trace illegally recorded content without degrading the viewing experience.
A Thorough Study on Video Integrity using Blockchainijtsrd
There has been an increase in the surveillance of public as well as private areas due to the immense increase in crime. This increase in crime rates has been instrumental in the development of CCTV cameras and other imaging devices for monitoring purposes. This has provided an increased convenience and ease of mind for the businesses as well as residences. The surveillance also provides an effective deterrence against the criminals and their activities. The surveillance footage can be utilized as incriminating evidence against the perpetrator. But the problem with this approach is maintaining the integrity of the video against tampering and other effects. Some techniques and tools can alter a video and change the integrity of the video, while the result is imperceptible to the naked eye. Therefore, the maintenance of the integrity of the video is an extremely necessary component of surveillance devices at cloud or personal storages. The analysis of the related work has been instrumental in achieving our methodology that is based on RSA encryption and Blockchain Platform Nikhil Bhusari | Tejaswini Kshirsagar | Akash Chandlekar | Apurva Borude | Kiran Gaikwad | Anuja Palhade "A Thorough Study on Video Integrity using Blockchain" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38066.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38066/a-thorough-study-on-video-integrity-using-blockchain/nikhil-bhusari
Advance Intelligent Video Surveillance System Using OpenCVIRJET Journal
This document describes the development of an intelligent video surveillance system using OpenCV. The proposed system aims to reduce electricity usage and storage needs by only recording video when human presence is detected, as opposed to continuous recording. It utilizes a camera initialized through OpenCV to capture video frames. The frames are converted to grayscale and analyzed using a Haar cascade classifier to detect human faces. If a face is detected, recording begins. If no motion is detected for several seconds, recording will stop. The recorded videos are stored locally. This approach is well-suited for locations with intermittent human presence, where continuous recording is unnecessary. It allows for more efficient use of resources than traditional CCTV.
A detailed review on Video SteganographyIRJET Journal
This document provides a summary of previous research on video steganography. It discusses several papers that proposed different techniques for video steganography, including using a binary attention mechanism to hide information in video frames, dual-channel embedding to make the hidden data robust against video transcoding, and using a convolutional neural network model called VStegNET. It also summarizes research on hiding encrypted data within video files and using techniques like genetic algorithms and AES encryption for steganography. Overall, the document reviews a variety of approaches that have been developed for video steganography and hiding secret information in video content.
Real-time Anomaly Detection and Alert System for Video SurveillanceIRJET Journal
The document describes a proposed real-time video surveillance system that uses deep learning models to detect and classify anomalies such as theft, unauthorized access, and burglary. The system would use CenterNet and Graph Convolutional Networks to detect anomalies in real-time CCTV footage. When anomalies are detected, alerts would be sent to police stations using Twilio Video API. Information about anomalies would be stored in a database including type, severity, and location. The system aims to enhance security by automating anomaly detection and response in video surveillance.
Event Detection Using Background Subtraction For Surveillance SystemsIRJET Journal
The document describes a proposed system for detecting suspicious events using background subtraction for surveillance systems. The system first obtains foreground objects using background subtraction. The foreground objects are then classified as people or suspicious objects and tracked over time using blob matching. By analyzing the temporal and spatial properties of the tracked blobs, activities are classified as normal or suspicious, such as theft of objects. The system aims to more efficiently detect suspicious human behavior and objects for applications such as security and surveillance.
IRJET - Using Convolutional Neural Network in Surveillance Videos for Recogni...IRJET Journal
This document proposes a system to detect suspicious human activities in examination surveillance videos using a convolutional neural network model. It extracts optical flow features from video data and uses a 3D CNN for activity recognition. The system can recognize activities like object exchange, peering at answers, and person swapping. It detects these activities by recognizing faces, hands, and contact between hands and faces of different people. The model achieves better performance than other methods in detecting four abnormal behaviors from examination videos. It provides automated suspicious activity detection to help monitor examinations more accurately.
This document summarizes a research paper that describes the development of a motion detection system using video input. The system is designed to detect motion in live video streams and then activate an alarm and save the video footage. The system was created using MATLAB which allows for video acquisition and processing. When motion is detected between frames, the difference is compared to a threshold. If exceeded, an alarm activates and the video is saved. The goal is to develop surveillance systems that can actively detect and respond to crimes in progress, rather than just passively record evidence afterward.
IRJET- Intruder Detection System using Camera with Alert ManagementIRJET Journal
This document describes a proposed intruder detection system using a camera. The system would work as follows:
1. A camera would continuously capture video frames and an image processing processor would compare the latest frame to a static threshold frame to detect differences.
2. If a difference is detected above a certain threshold using a sum of absolute differences (SAD) algorithm, it would indicate a potential intruder.
3. The system would then raise an alert if an intruder is confirmed, such as sending an email or message with the captured photo of the intruder.
The goal is to create an affordable intruder detection system that can detect intruders and raise alerts, providing security for places when unattended.
REAL-TIME VIDEO SURVEILLANCE USING RASPBERRY PIIRJET Journal
1. The document describes a real-time video surveillance system using a Raspberry Pi 4 and Pi camera. The system is able to monitor video feeds and stream them live in real-time.
2. The system uses OpenCV for coding on the Raspberry Pi operating system. When motion is detected by the camera, an alert is sent along with the captured image.
3. Several previous studies on video surveillance systems using Raspberry Pi are reviewed, covering applications like vehicle detection and tracking, home security systems, and facial recognition systems. The reviewed systems demonstrate high accuracy for tasks like object detection, motion detection, and image classification.
IRJET- Securing IP Surveillance Cameras using Adaptive Security Appliance...IRJET Journal
1. The document discusses securing IP surveillance cameras using an Adaptive Security Appliance (ASA) in a simulated network. It analyzes security threats to IP cameras and proposes configuring an ASA to assign authorization roles to control access to camera data.
2. Several related works exploring IP camera security are summarized, including detecting attacks, improving image quality, and analyzing security models. Configuring an ASA in a simulation is proposed to restrict unauthorized access to camera footage.
3. Common attacks on IP cameras include exploiting default credentials, downloading malware for command and control, and using the camera's bandwidth for distributed denial of service attacks. The ASA simulation aims to prevent these attacks by controlling network access.
DIGITAL WATERMARKING TECHNOLOGY IN INFORMATION SECURITYIRJET Journal
This document discusses digital watermarking technology for information security, specifically focusing on using it to protect remote sensing image data. It begins by introducing digital watermarking and its use in hiding digital information within images to help prove ownership and prevent unauthorized use. It then provides details on the watermarking process, including embedding a watermark, potential attacks on watermarked data, and detecting and extracting watermarks. The document also discusses using the wavelet transform domain for watermark embedding and MATLAB software for implementing digital watermarking techniques. In summary, it examines applying digital watermarking of remote sensing images to achieve copyright protection and prevent illegal use of the sensitive data.
ATM Security System Based on the Video Surveillance Using Neural NetworksIRJET Journal
This document proposes an ATM security system based on video surveillance using neural networks. The system uses computer vision and deep learning techniques to monitor ATM activity and detect unusual events like multiple people entering, cameras being removed, or people with obscured faces. Video frames are analyzed to identify objects and detect abnormal behaviors. If anything unusual is detected, an alert will be sent immediately to the nearest station and the ATM doors will lock. The system is intended to provide real-time security monitoring at low cost as an improvement over relying solely on human security guards. It describes the methodology used, including video acquisition, frame conversion, preprocessing, background modeling, feature extraction using algorithms like convolutional neural networks to identify faces and detect abnormal situations.
IRJET- A Survey on Reversible Watermarking Techniques for Image SecurityIRJET Journal
This document summarizes and compares various reversible watermarking techniques for image security. It discusses how reversible watermarking allows a watermark to be fully extracted from an image while also restoring the original cover image. The document reviews early techniques that used modulo addition and later techniques that improved imperceptibility by compressing image bits. It categorizes reversible techniques into data compression, difference expansion, and histogram shifting methods. Comparisons of techniques are presented to improve understanding of advances in reversible watermarking for image security.
R E G U L A R P A P E RUser-centric privacy awareness in v.docxmakdul
R E G U L A R P A P E R
User-centric privacy awareness in video surveillance
Thomas Winkler • Bernhard Rinner
Published online: 1 July 2011
� Springer-Verlag 2011
Abstract Especially in urban environments, video cam-
eras have become omnipresent. Supporters of video sur-
veillance argue that it is an excellent tool for many
applications including crime prevention and law enforce-
ment. While this is certainly true, it must be questioned if
sufficient efforts are made to protect the privacy of moni-
tored people. Privacy concerns are often set aside when
compared to public safety and security. One reaction to this
situation is emerging: community-based efforts where cit-
izens register and map surveillance cameras in their envi-
ronment. Our study is inspired by this idea and proposes a
user-specific and location-aware privacy awareness system.
Using conventional smartphones, users not only can con-
tribute to the camera maps, but also use community-col-
lected data to be alerted of potential privacy violations. In
our model, we define different levels of privacy awareness.
For the highest level, we present a mechanism that allows
users to directly interact with specially designed, trust-
worthy cameras. These cameras provide direct feedback
about the tasks that are executed by the camera and how
privacy-sensitive data is handled. A hardware security chip
that is integrated into the camera is used to ensure
authenticity, integrity and freshness of the provided camera
status information.
Keywords Smart cameras � Video surveillance � Privacy �
User feedback � Trusted computing
1 Introduction and motivation
Video surveillance has been recognized as a valuable tool
for many applications including crime prevention and law
enforcement. As a consequence, surveillance cameras are
widely deployed especially in urban environments. This
trend is fostered by many factors such as technological
advances with the move from analog toward digital sys-
tems as well as considerable price drops of camera systems.
This way, surveillance cameras have become truly ubiq-
uitous sensors not only deployed by governments, but also
by companies and even individuals. In London, for
example, an average citizen is captured by surveillance
cameras 300 times a day [7].
It is commonly agreed that video surveillance not only
can help to increase public safety and security, but also
bears some risks. One of them is an increasing loss of
personal privacy. This problem is addressed from several
sides with mixed success. Governmental regulations intend
to protect the privacy of citizens. However, these regula-
tions are difficult to enforce and usually lag behind the
rapid developments of the surveillance industry. Several
efforts from research and academia try to address the
problem from a technological direction. Typically, they are
based on the identification and protection of privacy-sen-
sitive image regions such as human f ...
IRJET- A Survey on Human Action RecognitionIRJET Journal
This document discusses and surveys various methods for human action recognition in video surveillance systems. It describes methods for detecting, tracking, and recognizing human actions. For detection, it discusses background subtraction, optical flow, and other techniques. For tracking, it covers region-based, silhouette-based, feature-based, and model-based methods. It also evaluates the merits and limitations of different methods discussed in referenced papers, such as computational efficiency and accuracy. Overall, the document provides an overview of key techniques and challenges in building intelligent video surveillance systems capable of human action understanding.
Enhanced Dynamic Leakage Detection and Piracy Prevention in Content Delivery ...Editor IJMTER
Due to the increasing popularity of video services application in recent days, it is
undesirable to prevent the content leakage on the trusted video delivery and piracy prevention has
been indeed, become critical. In order to preserve content leakage and prevent piracy,
conventional system addressed the issue by proposing the method based on the observation of
streamed traffic throughout the network .Also piracy has hindered the use of open peer to peer
networks for commercial content delivery. Hence the basic idea is to propose an enhanced
dynamic content leakage detection scheme that is robust to the variation of the video lengths. It
enhances the detection performances even in the environment subjected to variation in length of
videos. To detect pirates, identity-based signature and time stamped token have been generated. It
helps to solve piracy without affecting P2P clients so that colluder cannot download the secured
videos. The advantage lies mainly in advanced content availability, low cost and copyright
agreements in protecting the secured videos.
Detecting anomalies in security cameras with 3D-convolutional neural network ...IJECEIAES
This paper presents a novel deep learning-based approach for anomaly detec- tion in surveillance films. A deep network that has been trained to recognize objects and human activity in movies forms the foundation of the suggested ap- proach. In order to detect anomalies in surveillance films, the proposed method combines the strengths of 3D-convolutional neural network (3DCNN) and con- volutional long short-term memory (ConvLSTM). From the video frames, the 3DCNN is utilized to extract spatiotemporal features,while ConvLSTM is em- ployed to record temporal relationships between frames. The technique was evaluated on five large-scale datasets from the actual world (UCFCrime, XD- Violence, UBIFights, CCTVFights, UCF101) that had both indoor and outdoor video clips as well as synthetic datasets with a range of object shapes, sizes, and behaviors. The results further demonstrate that combining 3DCNN with Con- vLSTM can increase precision and reduce false positives, achieving a high ac- curacy and area under the receiver operating characteristic-area under the curve (ROC-AUC) in both indoor and outdoor scenarios when compared to cutting- edge techniques mentioned in the comparison.
Similar to IRJET- Review on Anti-Piracy Screening System (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
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Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.