Walk Through Metal Detectors Your Ultimate Weapon in the Fight Against Unauth...SecurityDetectionSol
Walk Through Detector are advanced security devices that have proven to be a formidable tool in combatting unauthorized access, providing a robust mechanism for screening individuals and identifying potential threats. Whether it’s crowded transportation hubs or bustling shopping malls, these scanners serve as a vital line of defense, reinforcing security protocols and deterring the entry of prohibited items.
Obstacle Detection and Navigation system for Visually Impaired using Smart ShoesIRJET Journal
1) The document proposes a system called Smart Shoes that uses sensors embedded in shoes to detect obstacles and guide visually impaired users through audio instructions from a connected smartphone application.
2) The system would use ultrasonic sensors in the shoes to detect obstacles and an Arduino microcontroller to process the sensor data. This data would then be sent to an Android smartphone app via Bluetooth to provide audio navigation instructions to the user.
3) The goal is to create an affordable and easy-to-use obstacle detection and navigation system for the visually impaired without requiring additional equipment beyond a smartphone and the smart shoes.
palm vein technology and its applicationsAkhil Kumar
This document summarizes palm vein biometric authentication technology. It explains that palm vein patterns are unique and used like passwords to verify identity. An infrared scanner reads the vein pattern and compares it to a registered profile to grant or deny access. Palm vein authentication provides highly accurate identification without physical contact and remains valid throughout one's lifetime. It is a more advantageous biometric technique than fingerprint or iris scanning.
Image Processing Based Detecting and Tracking for Security SystemCSCJournals
This document describes an image processing based security system that can detect, track, and generate an alarm simultaneously. The system uses optical flow techniques and block analysis for motion detection and tracking in consecutive video frames. It establishes wireless communication between imaging sources using XAMPP software to allow tracking across a wide area. Experimental results show the system can detect motion within 1.5 seconds at distances up to 12 feet under various light intensities and speeds, with tracking handled between systems wirelessly. The system aims to improve on traditional security that lacks simultaneous detection, tracking, and alarming capabilities.
Advanced Intelligent Video Surveillance System In Elevators By Using OpenCVIRJET Journal
The document describes a proposed advanced intelligent video surveillance system for elevators that uses OpenCV for motion detection. The system uses a camera to record video of the elevator cabin. OpenCV and Haar cascade classifiers analyze the video to detect motion, which then triggers the elevator to operate and video recording to begin. The goals of the system are to improve security, conserve storage by only recording when motion is detected, and only operate the elevator during motion. The system architecture includes components for the elevator operation, camera, software program module using OpenCV, and a database.
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET Journal
This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
Science in motion - Qualisys neurology bookletNicolasCevennes
Qualisys provides motion capture technology that can reveal detailed movement data through specialized cameras and software. This data can then be analyzed by professionals in fields like research, healthcare, sports, and engineering to gain deeper insights. Qualisys offers both custom and off-the-shelf motion capture systems and has applications in areas such as psychology studies, medical research inside MRI machines, sound and music research, and virtual reality development.
Introduction
The term “biometrics” is derived from the Greek words “bio” (life) and “metrics” (to measure). Automated biometric systems have only become available over the last few decades, due to significant advances in the field of computer processing. Many of these new automated techniques, however, are based on ideas that were originally conceived hundreds, even thousands of years ago.
One of the oldest and most basic examples of a characteristic that is used for recognition by humans is the face. Since the beginning of civilization, humans have used faces to identify known (familiar) and unknown (unfamiliar) individuals. This simple task became increasingly more challenging as populations increased and as more convenient methods of travel introduced many new individuals into- once small communities. The concept of human-to-human recognition is also seen in behavioral-predominant biometrics such as speaker and gait recognition. Individuals use these characteristics, somewhat unconsciously, to recognize known individuals on a day-to-day basis.
Walk Through Metal Detectors Your Ultimate Weapon in the Fight Against Unauth...SecurityDetectionSol
Walk Through Detector are advanced security devices that have proven to be a formidable tool in combatting unauthorized access, providing a robust mechanism for screening individuals and identifying potential threats. Whether it’s crowded transportation hubs or bustling shopping malls, these scanners serve as a vital line of defense, reinforcing security protocols and deterring the entry of prohibited items.
Obstacle Detection and Navigation system for Visually Impaired using Smart ShoesIRJET Journal
1) The document proposes a system called Smart Shoes that uses sensors embedded in shoes to detect obstacles and guide visually impaired users through audio instructions from a connected smartphone application.
2) The system would use ultrasonic sensors in the shoes to detect obstacles and an Arduino microcontroller to process the sensor data. This data would then be sent to an Android smartphone app via Bluetooth to provide audio navigation instructions to the user.
3) The goal is to create an affordable and easy-to-use obstacle detection and navigation system for the visually impaired without requiring additional equipment beyond a smartphone and the smart shoes.
palm vein technology and its applicationsAkhil Kumar
This document summarizes palm vein biometric authentication technology. It explains that palm vein patterns are unique and used like passwords to verify identity. An infrared scanner reads the vein pattern and compares it to a registered profile to grant or deny access. Palm vein authentication provides highly accurate identification without physical contact and remains valid throughout one's lifetime. It is a more advantageous biometric technique than fingerprint or iris scanning.
Image Processing Based Detecting and Tracking for Security SystemCSCJournals
This document describes an image processing based security system that can detect, track, and generate an alarm simultaneously. The system uses optical flow techniques and block analysis for motion detection and tracking in consecutive video frames. It establishes wireless communication between imaging sources using XAMPP software to allow tracking across a wide area. Experimental results show the system can detect motion within 1.5 seconds at distances up to 12 feet under various light intensities and speeds, with tracking handled between systems wirelessly. The system aims to improve on traditional security that lacks simultaneous detection, tracking, and alarming capabilities.
Advanced Intelligent Video Surveillance System In Elevators By Using OpenCVIRJET Journal
The document describes a proposed advanced intelligent video surveillance system for elevators that uses OpenCV for motion detection. The system uses a camera to record video of the elevator cabin. OpenCV and Haar cascade classifiers analyze the video to detect motion, which then triggers the elevator to operate and video recording to begin. The goals of the system are to improve security, conserve storage by only recording when motion is detected, and only operate the elevator during motion. The system architecture includes components for the elevator operation, camera, software program module using OpenCV, and a database.
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET Journal
This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
Science in motion - Qualisys neurology bookletNicolasCevennes
Qualisys provides motion capture technology that can reveal detailed movement data through specialized cameras and software. This data can then be analyzed by professionals in fields like research, healthcare, sports, and engineering to gain deeper insights. Qualisys offers both custom and off-the-shelf motion capture systems and has applications in areas such as psychology studies, medical research inside MRI machines, sound and music research, and virtual reality development.
Introduction
The term “biometrics” is derived from the Greek words “bio” (life) and “metrics” (to measure). Automated biometric systems have only become available over the last few decades, due to significant advances in the field of computer processing. Many of these new automated techniques, however, are based on ideas that were originally conceived hundreds, even thousands of years ago.
One of the oldest and most basic examples of a characteristic that is used for recognition by humans is the face. Since the beginning of civilization, humans have used faces to identify known (familiar) and unknown (unfamiliar) individuals. This simple task became increasingly more challenging as populations increased and as more convenient methods of travel introduced many new individuals into- once small communities. The concept of human-to-human recognition is also seen in behavioral-predominant biometrics such as speaker and gait recognition. Individuals use these characteristics, somewhat unconsciously, to recognize known individuals on a day-to-day basis.
DEEP LEARNING APPROACH FOR SUSPICIOUS ACTIVITY DETECTION FROM SURVEILLANCE VIDEOIRJET Journal
This document proposes using deep learning approaches like convolutional neural networks to detect suspicious activities from surveillance videos. It aims to overcome limitations of existing depth sensors by using neural networks for more accurate human pose estimation. The system would monitor public areas through video surveillance and categorize human activities as usual or suspicious in real-time. It addresses gaps in previous research which focused on images rather than videos. The proposed methodology includes collecting and preprocessing surveillance video data, designing and training deep learning models to recognize and classify activities, and integrating the system with existing surveillance infrastructure for deployment.
Gaussian versus uniform distribution for intrusion detection in wireless sens...Ecwaytech
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and key parameters.
Gaussian versus uniform distribution for intrusion detection in wireless sens...Ecwayt
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions, providing guidance on selecting deployment strategies and parameters.
Gaussian versus uniform distribution for intrusion detection in wireless sens...ecwayprojects
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and key parameters.
Dotnet gaussian versus uniform distribution for intrusion detection in wirel...Ecwayt
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be useful for improving protection around important areas. The paper characterizes detection probability based on application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting a deployment strategy and key parameters.
Dotnet gaussian versus uniform distribution for intrusion detection in wirel...Ecwaytech
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and determining critical parameters.
A Survey on Smart Devices for Object and Fall DetectionIRJET Journal
This document summarizes a survey on smart devices for object and fall detection. It discusses how sensors and microcontrollers can be used to create wearable alert devices for the elderly that detect falls and send location information to concerned contacts. It also describes how ultrasonic sensors and smart glasses can detect obstacles to help blind or visually impaired people navigate safely. The document reviews several existing studies on vision-based and sensor-based fall detection systems and identifies challenges in real-world deployment, usability, and user acceptance of emerging technologies.
Wireless sensor networks and wearable devices are being used increasingly in medical applications to continuously monitor patients' vital signs. Sensors can measure body parameters like temperature, blood pressure, heart rate, blood sugar and more. These wireless medical sensors communicate information to devices on or near the body. They must be unobtrusive, secure, interoperable and provide reliable communication. Common examples include blood glucose sensors that use enzymes to detect glucose levels electrochemically. Advances in miniaturization and wireless connectivity are helping to expand medical monitoring through small, wearable biosensors.
Akuvox access control systems provide cutting-edge security and streamline operations. The systems use advanced features like facial recognition, mobile access, and centralized management to enhance security and access control. Implementing an Akuvox system allows organizations to protect their premises while improving efficiency of access management.
Fingerprint Authentication Using Biometric And Aadhar Card FingerprintSonuSawant
The document provides information about fingerprint authentication. It discusses how fingerprint authentication works by verifying a match between a captured fingerprint and one stored in a database. The fingerprint authentication process involves fingerprint capture, pre-processing, feature extraction, and matching. It notes that fingerprint authentication is widely used for security access control and online transactions due to fingerprints being unique and unchanging throughout a person's lifetime.
IKare vulnerability management software proactively scans network environments for misconfigurations, default passwords and vulnerabilities. As a result, it dramatically reduces risk exposure.
ESD access control system is an integrated system integrating access control management system, monitoring system, ESD test system, voice prompt system, etc, which is carefully designed and manufactured on the basis of many years access control technology research and demand analysis, combined with UHF card reading technology, network digital technology, remote alarm technology, computer network software technology, and pedestrian access control technology. The ESD access control system meets the security requirements of safety production.
ESD access control system is mainly composed of computer, intelligent card reading part, intelligent pedestrian turnstile gate, electrostatic test, smart card, display screen, and management software. RS485 or TCP / IP network communication is adopted between the computer and the turnstile gate, which can operate both online and offline. The equipment organically integrates machinery, electronics, microprocessor control, and various reading and writing technologies.
https://mairsturnstile.com/esd-access-control-system-solution.html
This document provides an overview of an information security training session covering various topics:
- The presenter is introduced as a cybersecurity analyst and researcher who provides their contact information.
- The agenda includes topics like antivirus software, static and dynamic application security testing, the CIA triad model of information security, reconnaissance techniques, reverse shells, endpoint detection and response, configuration reviews, vulnerability assessments, penetration testing, and critical infrastructure security.
- Each topic is then defined in one to three paragraphs with examples of common tools used for tasks like passive and active reconnaissance, static application security testing, and vulnerability assessments.
L.E.D (LifeFone for Elderly and Disabled)IRJET Journal
This document describes a proposed device called L.E.D (LifeFone for Elderly and Disabled) that combines a fall detection system and hand gesture controlled wheelchair. The fall detection system uses an accelerometer and gyroscope sensor to detect falls and sends an SMS notification. The hand gesture wheelchair is controlled using hand motions detected by sensors and an Arduino microcontroller directs the wheelchair movement. The combined device aims to help elderly and disabled individuals with daily mobility and safety by allowing wheelchair control and alerting caregivers to falls.
This document describes the SituateTM Detection System X, a surgical sponge detection system that aims to reduce the risk of retained sponges after surgery. The system uses radiofrequency tagging and detection to locate sponges within seconds. It consists of an automated body scanner under the patient, tagged cotton sponges and towels, and additional handheld scanners to detect missing sponges. The detection system integrates into the surgical workflow and provides prompts and reporting to help reconcile sponge counts before closing cases. The document discusses the costs of retained sponges and how radiofrequency detection can save hospitals money compared to other counting methods.
Computer-assisted surgery (CAS) uses computer technology like 3D modeling to help plan and guide complex surgical procedures. It involves creating a virtual 3D model of the patient's anatomy from scans and then using tracking technology to match the virtual model to the actual patient during surgery. CAS has applications in sinus, maxillofacial, ENT, and neurological surgeries where it helps locate lesions and vital structures more safely and accurately.
Innovative Surveillance_ The Rising Impact of Security Robot Services.pdfnuwatt966
Embark on a journey into Innovative Surveillance with the rising impact of Security Robot Services. Nuwatt leads the way in redefining security dynamics through cutting-edge automation. Explore a new paradigm where innovation meets vigilance, ensuring unparalleled safety in an ever-evolving landscape. Trust Nuwatt for pioneering security solutions.
DESIGN AND PROTOTYPE OF A WIRELESS TAILGATE DETECTION SYSTEM USING SUN SPOT P...ijesajournal
In this paper, we present the design and implementation of a wireless sensor based piggybacking and tailgating detection system to detect unauthorized attempt to gain access to a secured area. A set of Sun SPOT wireless sensor platform is adopted for acceleration sensor, transmitter, and receiver units for the system. A wireless sensor embedded in a security door collects the signal of door movement constantly and transmits the signal wirelessly to another wireless sensor (base unit), which collects the transmitted signals and stores them in the memory of the computer system for analysis. The acceleration signal is analyzed in both time and frequency domain to detect and classify single and tailgate entries. The paper focuses on the description of the wireless sensor network and the sensor-based tailgate detection algorithm.
Vi-System is a high-performance, real-time video analytics software that analyzes video streams to identify and generate alerts for user-defined events relating to people, vehicles, and objects. It offers unlimited analytics rules that can be applied simultaneously across an unlimited number of cameras. Vi-System seamlessly integrates with various edge devices and video management systems. It provides superior detection capabilities for security, safety, traffic monitoring, and other applications.
The Pros and Cons of Different Security Detection Technologies.pdfSecurityDetectionSol
we provide an overview of leading Security Detection Solutions and technologies and discuss their relative advantages to help inform organizations’ decisions.
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Similar to How Evolv Body Scanner Is Redefining Crowd Control.pdf
DEEP LEARNING APPROACH FOR SUSPICIOUS ACTIVITY DETECTION FROM SURVEILLANCE VIDEOIRJET Journal
This document proposes using deep learning approaches like convolutional neural networks to detect suspicious activities from surveillance videos. It aims to overcome limitations of existing depth sensors by using neural networks for more accurate human pose estimation. The system would monitor public areas through video surveillance and categorize human activities as usual or suspicious in real-time. It addresses gaps in previous research which focused on images rather than videos. The proposed methodology includes collecting and preprocessing surveillance video data, designing and training deep learning models to recognize and classify activities, and integrating the system with existing surveillance infrastructure for deployment.
Gaussian versus uniform distribution for intrusion detection in wireless sens...Ecwaytech
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and key parameters.
Gaussian versus uniform distribution for intrusion detection in wireless sens...Ecwayt
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions, providing guidance on selecting deployment strategies and parameters.
Gaussian versus uniform distribution for intrusion detection in wireless sens...ecwayprojects
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and key parameters.
Dotnet gaussian versus uniform distribution for intrusion detection in wirel...Ecwayt
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be useful for improving protection around important areas. The paper characterizes detection probability based on application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting a deployment strategy and key parameters.
Dotnet gaussian versus uniform distribution for intrusion detection in wirel...Ecwaytech
This document analyzes intrusion detection in wireless sensor networks with sensors deployed either uniformly or according to a Gaussian distribution. Gaussian distributions can provide different detection probabilities in different locations of the network, which may be important for applications requiring improved detection around key areas. The paper characterizes detection probability with respect to application needs and network parameters for single and multiple sensor detection. It examines the effects of network parameters on probability and compares Gaussian and uniform distributions to provide guidelines for selecting deployment strategies and determining critical parameters.
A Survey on Smart Devices for Object and Fall DetectionIRJET Journal
This document summarizes a survey on smart devices for object and fall detection. It discusses how sensors and microcontrollers can be used to create wearable alert devices for the elderly that detect falls and send location information to concerned contacts. It also describes how ultrasonic sensors and smart glasses can detect obstacles to help blind or visually impaired people navigate safely. The document reviews several existing studies on vision-based and sensor-based fall detection systems and identifies challenges in real-world deployment, usability, and user acceptance of emerging technologies.
Wireless sensor networks and wearable devices are being used increasingly in medical applications to continuously monitor patients' vital signs. Sensors can measure body parameters like temperature, blood pressure, heart rate, blood sugar and more. These wireless medical sensors communicate information to devices on or near the body. They must be unobtrusive, secure, interoperable and provide reliable communication. Common examples include blood glucose sensors that use enzymes to detect glucose levels electrochemically. Advances in miniaturization and wireless connectivity are helping to expand medical monitoring through small, wearable biosensors.
Akuvox access control systems provide cutting-edge security and streamline operations. The systems use advanced features like facial recognition, mobile access, and centralized management to enhance security and access control. Implementing an Akuvox system allows organizations to protect their premises while improving efficiency of access management.
Fingerprint Authentication Using Biometric And Aadhar Card FingerprintSonuSawant
The document provides information about fingerprint authentication. It discusses how fingerprint authentication works by verifying a match between a captured fingerprint and one stored in a database. The fingerprint authentication process involves fingerprint capture, pre-processing, feature extraction, and matching. It notes that fingerprint authentication is widely used for security access control and online transactions due to fingerprints being unique and unchanging throughout a person's lifetime.
IKare vulnerability management software proactively scans network environments for misconfigurations, default passwords and vulnerabilities. As a result, it dramatically reduces risk exposure.
ESD access control system is an integrated system integrating access control management system, monitoring system, ESD test system, voice prompt system, etc, which is carefully designed and manufactured on the basis of many years access control technology research and demand analysis, combined with UHF card reading technology, network digital technology, remote alarm technology, computer network software technology, and pedestrian access control technology. The ESD access control system meets the security requirements of safety production.
ESD access control system is mainly composed of computer, intelligent card reading part, intelligent pedestrian turnstile gate, electrostatic test, smart card, display screen, and management software. RS485 or TCP / IP network communication is adopted between the computer and the turnstile gate, which can operate both online and offline. The equipment organically integrates machinery, electronics, microprocessor control, and various reading and writing technologies.
https://mairsturnstile.com/esd-access-control-system-solution.html
This document provides an overview of an information security training session covering various topics:
- The presenter is introduced as a cybersecurity analyst and researcher who provides their contact information.
- The agenda includes topics like antivirus software, static and dynamic application security testing, the CIA triad model of information security, reconnaissance techniques, reverse shells, endpoint detection and response, configuration reviews, vulnerability assessments, penetration testing, and critical infrastructure security.
- Each topic is then defined in one to three paragraphs with examples of common tools used for tasks like passive and active reconnaissance, static application security testing, and vulnerability assessments.
L.E.D (LifeFone for Elderly and Disabled)IRJET Journal
This document describes a proposed device called L.E.D (LifeFone for Elderly and Disabled) that combines a fall detection system and hand gesture controlled wheelchair. The fall detection system uses an accelerometer and gyroscope sensor to detect falls and sends an SMS notification. The hand gesture wheelchair is controlled using hand motions detected by sensors and an Arduino microcontroller directs the wheelchair movement. The combined device aims to help elderly and disabled individuals with daily mobility and safety by allowing wheelchair control and alerting caregivers to falls.
This document describes the SituateTM Detection System X, a surgical sponge detection system that aims to reduce the risk of retained sponges after surgery. The system uses radiofrequency tagging and detection to locate sponges within seconds. It consists of an automated body scanner under the patient, tagged cotton sponges and towels, and additional handheld scanners to detect missing sponges. The detection system integrates into the surgical workflow and provides prompts and reporting to help reconcile sponge counts before closing cases. The document discusses the costs of retained sponges and how radiofrequency detection can save hospitals money compared to other counting methods.
Computer-assisted surgery (CAS) uses computer technology like 3D modeling to help plan and guide complex surgical procedures. It involves creating a virtual 3D model of the patient's anatomy from scans and then using tracking technology to match the virtual model to the actual patient during surgery. CAS has applications in sinus, maxillofacial, ENT, and neurological surgeries where it helps locate lesions and vital structures more safely and accurately.
Innovative Surveillance_ The Rising Impact of Security Robot Services.pdfnuwatt966
Embark on a journey into Innovative Surveillance with the rising impact of Security Robot Services. Nuwatt leads the way in redefining security dynamics through cutting-edge automation. Explore a new paradigm where innovation meets vigilance, ensuring unparalleled safety in an ever-evolving landscape. Trust Nuwatt for pioneering security solutions.
DESIGN AND PROTOTYPE OF A WIRELESS TAILGATE DETECTION SYSTEM USING SUN SPOT P...ijesajournal
In this paper, we present the design and implementation of a wireless sensor based piggybacking and tailgating detection system to detect unauthorized attempt to gain access to a secured area. A set of Sun SPOT wireless sensor platform is adopted for acceleration sensor, transmitter, and receiver units for the system. A wireless sensor embedded in a security door collects the signal of door movement constantly and transmits the signal wirelessly to another wireless sensor (base unit), which collects the transmitted signals and stores them in the memory of the computer system for analysis. The acceleration signal is analyzed in both time and frequency domain to detect and classify single and tailgate entries. The paper focuses on the description of the wireless sensor network and the sensor-based tailgate detection algorithm.
Vi-System is a high-performance, real-time video analytics software that analyzes video streams to identify and generate alerts for user-defined events relating to people, vehicles, and objects. It offers unlimited analytics rules that can be applied simultaneously across an unlimited number of cameras. Vi-System seamlessly integrates with various edge devices and video management systems. It provides superior detection capabilities for security, safety, traffic monitoring, and other applications.
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SPECTRUM 4-COLOR IMAGING920CX now can exhibit images in the Classic 4-color and the new proprietary Spectrum 4-color (SP4) option providing a superior image, allowing improved security by quick and accurate identification of threats and increase in throughput.
The new 920Ci is an ultra-compact 620mm x 420mm tunnel X-ray security screening system with superb image quality for high treat checkpoint locations including event security, prisons and government buildings.
The CONPASS DV Xray scanning detector is designed to meet the highest standards of security requirements in the world today. The footprint of the CONPASS DV allows for more possibilities in security systems jails, airports, railway stations and security checkpoints. The CONPASS DV can detector these items listed below.
$249.95 Simple to operate, the CSI 250 features unparalleled performance for budget-minded departments and agencies. This advanced metal detector features a Target ID Legend designed to identify commonly sought targets in crime scene investigations.
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Generating privacy-protected synthetic data using Secludy and MilvusZilliz
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
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van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
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I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
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Fueling AI with Great Data with Airbyte WebinarZilliz
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
How Evolv Body Scanner Is Redefining Crowd Control.pdf
1. How Evolv Body Scanner Is Redefining
Crowd Control?
Large crowds descending upon entertainment venues, airports, and landmark buildings
pose immense security challenges. Traditional metal detectors frustrate visitors struggling
through bottlenecked queues while leaving non-metallic threats unnoticed. Now Evolv
Body Scanner promises unmatched crowd screening abilities detecting all threat objects
instantly using cutting-edge sensor arrays capturing precise anatomical contours.
This breakthrough technology helps in picture-perfect visual security detection, scanning
attendees in motion without requiring bag searches or individual contact. Precise imaging
preserves privacy while pinpointing concealed items automatically based on shape, density
and position on bodies rather than just crude metal presence. Exceptional throughput
capacity enables venue screening far exceeding traditional magnetometers dependent on
one-by-one inspections.
Evolv expresses a monumental leap forward for visitor screenings spanning stadium
events to hotel lobbies. Understanding the impressive capabilities Evolv wields to secure
crowded environments shows why this futuristic equipment deserves mainstream
adoption redefining public space protections today and beyond.
How Evolv Body Scanners Work
Unlike traditional metal detectors, Evolv scans bodies without requiring direct physical
contact for maximum throughput. Attendees simply walk through casually while guided
2. waves reconstruct accurate 3D figurines highlighting personal item locations onscreen. The
process lasts seconds thanks to eight world-class detection modes assessing threats:
• Metal detection exposing firearms and blades
• Explosives identification via chemicalvapors
• Automatic anatomy tracking flagging discrepancies
• Density mapping locating rigid masses like clubs
• Position charting revealing concealed locales
• Image factoringconfirmingweapons visually
• Depth measurement tracing item shapes
• Reflectivity noticing optical distortions
Sophisticated transmitters beam specialized waveforms harnessing these modes in tandem
analyzing bodies. Sensor arrays capture identity-masking response energy. Powerful
processors render anatomical avatars pinpointing foreign objects against baseline body
expectations. Alarm algorithms then classify threat levels dispatching guards
appropriately.
Walk-through convenience questioning contents, not individuals, brings unprecedented
discoveries without compromised experience. Evolv scans attendees while respecting
privacies and goals upon entry.
Rapid Throughput Ability
Unlike tedious manual detectors and wands impeding high traffic ingress, Evolv body
scanner systems maneuver thousands of visitors at rates guaranteeing smooth venue
experiences. By allowing individuals to walk casually through sensors without stopping,
long queues dissolve as patrons flow inside uninterrupted almost immediately.
Evolv maximum throughput exceeds an astounding 3600 visitors per hour at standard 1.5
walking speed settings. Higher visual security detection processing modes shorten
individual scan times for additional gains. Successful installations across professional
stadiums confirm Evolv machines sustain rates 10-20x swifter than conventional
magnetometers without sacrificing detection capabilities.
For major events, throughput directly influences satisfaction and safety. Evolv also scales
ticketed entry by increasing portal lanes as facility capacities dictate. Avoiding bottleneck
crowds lingering outside field gates means faster concessions access winning fans and
critical extra response time for guards facing truly menacing entrant threats caught by
scanners.
Carefree experiences proceed unimpeded courtesy of the latest sensory advancements
tailored for fluid crowd migrations. Attendees proceed inside feeling uninterrupted
3. excitement, not adversarial inspection anxieties. Evolv restores entertainment venue flow
lost amid outdated security procedures.
Rapid Threat Classification
Beyond swiftly assessing visitors, the talent of Evolv body scanners shines brightest
distinguishing actual threats from innocuous personal items. Machine learning algorithms
underpin automatic classification between menacing masses and common ticket stubs
based on compositional properties. Years of real-world site data refined detection
capabilities pinpointing threats reliably while minimizing false alarms frustrating visitors.
When suspect objects appear, alarm specificity guides response protocols precisely. Low
level alerts prompt secondary screening localhost using metal wands checking concerning
anatomical areas without impeding overall traffic flows. This isolates threats without
generalization assuming guilt across groups. High alarm levels dispatch guards rapidly to
contain dangerous entrants and hazardous contraband like explosives, firearms or edged
weapons.
All screening data feeds databases aggregating learnings on latest concealment tricks and
weapon innovations appearing globally. Ever-evolving intelligence combats tactics
attempting to outwit sensors. Updated scan modes transfer between portals keeping
identification capabilities sharp no matter the facility protected. Avoid reactionary errors
and wasted inspections with consistent classification from Evolv artificial intelligence.
Operational Health Monitoring
Mission-critical visual security detection hardware demands rigorous monitoring
validating full functioning between routine maintenance intervals. Evolv built-in system
health tools gauge equipment viability across essential subsystems flagging declining
performance threatening visibility.
Installed sensors perpetually record baseline readings monitoring antenna functionality,
data transmission continuity, waveform stability and other key performance indicators
quantifying optimal detection reliability. Statistical processors assess recent metrics like
false alarm rates relative to moving averages determining significant deviations.
Deviations trigger automated alerts recommending maintenance actions to preserve peak
detection integrity like cabling checks, sensor recalibrations and perimeter access
modifications. Easy remote access allows offsite technical staff the ability to assess statuses
and remedy warning signs using live dashboards. Sync capabilities integrate with existing
facility monitoring infrastructure.
4. Ensure your last line of defense stays healthy over years securing visitors and structures.
Customizable tolerances dial-in performance oversight suitable to site priorities across
zones. Never let degraded equipment or dysfunctional sensors blind detection duties when
lives are on the line. Validate hardware daily with health tools unique to Evolv body
scanners.
Assistance Features
Navigating bag checks, clothing removal policies and equipment quirks frustrates visitors
unfamiliar with security procedures. Evolv systems stewards patrons through scans using
atypical assistance functionalities cementing positive experiences.
Dot projection laser grids shine directly on portal floors displaying foot positioning
guidance aiding proper walk-through stance. Intuitive arrows coax attendees through
scans without hesitation. Onscreen avatars demonstrate proper arm positions avoiding
alarm triggers. Mirrors around equipment provide self-inspection opportunities to remove
problematic personal items.
Wearable RFID bracelets synchronize group members through screenings by holding
portal access until all members approach together. This prevents families getting separated
if children alarm separately from parents. It also deters guardians from leaving kids
unattended mid-scan when diverted addressing alarms. Further features assist disabled
visitors across portals sensitive to common accessibility tools.
Evolv developers understand fear and uncertainties left unaddressed torpedo detection
goals. That is why assistance options receive equal priorities alongside detection
advancements centralizing amiable yet uncompromised protection adhering to customer
service virtues welcoming all people reasonably secured.
Artificial Intelligence Capabilities
All Evolv screeners harness AI extensively tailoring evaluation specificity, catching obscure
threats, upholding false alarm resistance and administering seamless traffic segmentation
optimizing venue ingress. Stimulus processing algorithms specialized in anatomical
evaluations receive continual improvements analyzing live feedback.
Off-site labs feed Evolv portals vast cached imagery of concealed weapons for deep learning
upgrades. Each model deployment analyzes scan differentiations more acutely combating
deception attempts exploiting technical loopholes. On-site guard feedback reaffirms
classifications across thousands of unique visitor scans daily.
Facilities leveraging Evolv Visual Security Detection access participates in global threat
visibility as crowd analytics transfers insights for aggregate model advancements. Privacy
5. remains protected as data transfers contain no identifiable qualities – only segmented
anatomical contours undergoing identification analysis.
As concealed dangers evolve and assailants grow more brazen attacking soft targets, lasting
protections demand AI symbiotically upgrading detection prowess. Evolv commitments
futureproofing safety through perpetual innovation stay unique across security spheres
centered on high physical throughput yet often stagnant technology. Defend visitors with
analytical capabilities exponentially scaling insights beyond human observational skills or
legacy equipment plateaus.
Covert Screening Option
High visibility deterrence platforms like walkthrough metal detectors and security
checkpoints inadvertently mark large events as easy symbolic targets given their hub
statuses. For facilities desiring more discrete protection integrate Evolv portals
inconspicuously into decorative fixtures.
Covert screening models resemble unassuming artistic structures concealing cutting-edge
body scanning efficacies from public view. Attendees unknowingly enter portals when
passing various thresholds designed intentionally into a facilities layout blueprints. Unique
shapes like arcs, pyramids and curved walls hide sensor arrays inside fixture frames.
Casual dialog kiosks placed nearby encourage visitors to stop moving naturally allowing
extended scan times. Decorative dividers guide positioning across scan fields. Friendly
signage avoids alarming individuals to covert equipment.
After alarms, guards intervene under premises of general guest services assistance rather
than accusatory detainment. Discreet video monitoring localizes threats. Low visibility
tactics apply airport-level scans silently ringside without spectators noticing. Public
routing sees architectural artwork while officials behind the scenes orchestrate clandestine
observation unalarmed.
Conclusion
Evolv body scanners usher in new potentials securing heavily populated environments
against intensifying threats. Unparalleled crowd screening capacities safely filter
dangerous entrants at speeds supporting modern peak attendances.
Groundbreaking vivacity detection, precise AI analysis and discreet configurations redefine
visitor protections suiting any facility mandating non-intrusive security prioritizing
experience. Evaluate Evolv portals before upgrades or new installations to witness next
generation screenings in action optimizing safety through elevated design.
6. Call Security Detection Solutions today to demo Evolv body scanners securing your
stadium, arena, theater or school using configurable visitor screenings supporting large
crowds without crippling venue enjoyment. Discreet hi-tech sensors integrate detections
into architectural layouts for low visibility protection that moves as fast as modern crowds
do. Call today to schedule a demo!
Visit Our Website:
Security Detection Solutions