MxAnalytics is video analysis software integrated into MOBOTIX cameras that allows for behavioral detection and counting people and objects. It provides heat maps of highly frequented areas and counting corridor statistics. The software requires no additional hardware and can analyze video decentralized within the camera. It is configured through the camera's web interface by updating firmware, formatting storage, setting analysis presettings, defining detection areas and counting corridors, and configuring analysis and report profiles. MxAnalytics provides valuable behavioral data and insights without network loads or third party devices.
The document describes several intelligent modules in Macroscop video management software, including:
1. A tracking module that enables users to track moving objects and set alerts for line or zone intersections or prolonged stationary objects.
2. A people counting module that provides real-time counts and statistics of people entering and exiting an area.
3. A face detection module that automatically detects faces in video streams.
1) The document introduces the Surveon VA Camera Series and its video analysis capabilities.
2) The cameras can perform tasks like people/vehicle counting, detecting objects entering or leaving areas, and detecting loitering or motion directions.
3) The document provides installation guidelines, recommending a camera angle between 15-60 degrees from horizontal and a minimum frame rate of 15fps for video analysis.
This document discusses CCTV solutions and IP cameras. It provides information on:
- How 4K cameras can reduce the number of cameras needed and the load on monitoring by covering a wider viewing angle than HD or full HD cameras.
- Features of IP cameras like H.265 compression which reduces storage and bandwidth needs compared to H.264, as well as excellent low-light performance.
- Intelligent functions including video analytics for events like loitering detection, wrong way movement, and left object detection.
- Additional solutions discussed include access control, parking management, time attendance, and thermal imaging applications.
Firs is a leading provider of Intelligent Video Solutions for surveillance monitoring. It offers various IVS solutions using SDKs for object detection, auto tracking, facial recognition, and more. These solutions have applications in infrastructure safety, security monitoring, traffic management, and controlling valuables. The IVS can analyze video to detect abnormal events, count people and vehicles, and recognize faces with over 95% accuracy.
- 4K cameras can cover a wider viewing angle than 1080p or 720p cameras, reducing the number of cameras needed and the load on monitoring operations. They also provide more detailed images than lower resolution cameras.
- Intelligent video analytics tools like i-VMD can help further reduce monitoring loads by automatically detecting events like loitering, wrong-way traffic, and tampering. These tools allow operators to focus only on real alarms.
- Integrating different security systems from video surveillance to access control to fire detection into a single security command center allows for unified monitoring and faster emergency response.
- 4K cameras can cover a wider viewing angle than 1080p or 720p cameras, reducing the number of cameras needed and the load on monitoring operations. They also provide more detailed images than lower resolution cameras.
- Intelligent video analytics such as object detection, loitering detection, and direction detection can further reduce monitoring loads by automatically detecting events and alerting operators.
- High efficiency H.265/H.265+ compression standards significantly reduce file sizes for stored video compared to H.264 without sacrificing image quality, helping to reduce storage and bandwidth needs.
This document provides an overview of a CCTV solution and its benefits. It discusses how 4K cameras can cover a wider viewing angle than HD or full HD cameras, thereby reducing the number of cameras needed to monitor an area and reducing workload. It also explains that the i-PRO system allows viewing of both a whole area and specific cropping areas simultaneously. Overall, the 4K CCTV solution aims to reduce monitoring loads and management costs through using fewer, higher resolution cameras.
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM / VIDEO SENSOR / WAEL SAAD HAMEEDI /...Wael Alawsey
Smart cameras can be utilized in intelligent traffic control systems in the following ways:
1. Smart cameras perform image processing and analysis functions like license plate recognition directly in the camera. This reduces data transmission needs.
2. Networks of smart cameras can work together and communicate with a central traffic control server to monitor traffic flow and conditions across a region.
3. Smart camera vision capabilities allow them to detect things like traffic violations, congestion levels, and incidents to help manage traffic in real-time. Areas of use include enforcement, tolling, and traffic monitoring applications.
The document describes several intelligent modules in Macroscop video management software, including:
1. A tracking module that enables users to track moving objects and set alerts for line or zone intersections or prolonged stationary objects.
2. A people counting module that provides real-time counts and statistics of people entering and exiting an area.
3. A face detection module that automatically detects faces in video streams.
1) The document introduces the Surveon VA Camera Series and its video analysis capabilities.
2) The cameras can perform tasks like people/vehicle counting, detecting objects entering or leaving areas, and detecting loitering or motion directions.
3) The document provides installation guidelines, recommending a camera angle between 15-60 degrees from horizontal and a minimum frame rate of 15fps for video analysis.
This document discusses CCTV solutions and IP cameras. It provides information on:
- How 4K cameras can reduce the number of cameras needed and the load on monitoring by covering a wider viewing angle than HD or full HD cameras.
- Features of IP cameras like H.265 compression which reduces storage and bandwidth needs compared to H.264, as well as excellent low-light performance.
- Intelligent functions including video analytics for events like loitering detection, wrong way movement, and left object detection.
- Additional solutions discussed include access control, parking management, time attendance, and thermal imaging applications.
Firs is a leading provider of Intelligent Video Solutions for surveillance monitoring. It offers various IVS solutions using SDKs for object detection, auto tracking, facial recognition, and more. These solutions have applications in infrastructure safety, security monitoring, traffic management, and controlling valuables. The IVS can analyze video to detect abnormal events, count people and vehicles, and recognize faces with over 95% accuracy.
- 4K cameras can cover a wider viewing angle than 1080p or 720p cameras, reducing the number of cameras needed and the load on monitoring operations. They also provide more detailed images than lower resolution cameras.
- Intelligent video analytics tools like i-VMD can help further reduce monitoring loads by automatically detecting events like loitering, wrong-way traffic, and tampering. These tools allow operators to focus only on real alarms.
- Integrating different security systems from video surveillance to access control to fire detection into a single security command center allows for unified monitoring and faster emergency response.
- 4K cameras can cover a wider viewing angle than 1080p or 720p cameras, reducing the number of cameras needed and the load on monitoring operations. They also provide more detailed images than lower resolution cameras.
- Intelligent video analytics such as object detection, loitering detection, and direction detection can further reduce monitoring loads by automatically detecting events and alerting operators.
- High efficiency H.265/H.265+ compression standards significantly reduce file sizes for stored video compared to H.264 without sacrificing image quality, helping to reduce storage and bandwidth needs.
This document provides an overview of a CCTV solution and its benefits. It discusses how 4K cameras can cover a wider viewing angle than HD or full HD cameras, thereby reducing the number of cameras needed to monitor an area and reducing workload. It also explains that the i-PRO system allows viewing of both a whole area and specific cropping areas simultaneously. Overall, the 4K CCTV solution aims to reduce monitoring loads and management costs through using fewer, higher resolution cameras.
INTELLIGENT URBAN TRAFFIC CONTROL SYSTEM / VIDEO SENSOR / WAEL SAAD HAMEEDI /...Wael Alawsey
Smart cameras can be utilized in intelligent traffic control systems in the following ways:
1. Smart cameras perform image processing and analysis functions like license plate recognition directly in the camera. This reduces data transmission needs.
2. Networks of smart cameras can work together and communicate with a central traffic control server to monitor traffic flow and conditions across a region.
3. Smart camera vision capabilities allow them to detect things like traffic violations, congestion levels, and incidents to help manage traffic in real-time. Areas of use include enforcement, tolling, and traffic monitoring applications.
The document discusses Project Safe City, which aims to create a safe and secure city using video surveillance technology. It describes the key components of the project, including a video management system, intelligent video analytics, integration with other systems like cameras and alarms, and community features. The main video management system is the AxxonSoft VMS, which can monitor up to 175,000 cameras across large installations. It also covers the technology used, like LPR, face recognition, and various types of video detection analytics. Connectivity options and camera specifications are reviewed. Lighting solutions are discussed as important for image quality. The benefits of the integrated intelligent surveillance system are highlighted.
This document proposes a real-time image processing (RTIP) algorithm to detect vehicle queues at traffic junctions using a low-cost system. The algorithm has two main operations: 1) motion detection using frame differencing and thresholding, and 2) vehicle detection using a Separable Morphological Edge Detector (SMED) operator and thresholding. The algorithm aims to accurately measure queue parameters such as queue length with 95% accuracy. It uses simple spatial-domain techniques for real-time processing with low computational requirements.
Traffic Accident Detection
The Problem is to build a reliable and accurate traffic accident detection system using state-of-the-art object detection models. The system should be able to analyze live video feeds from CCTV cameras and determine whether an accident has occurred or not, based on the presence of specific visual cues such as collision, and vehicle damage. The system's performance will be evaluated based on accuracy, precision, recall, and computational efficiency.
Faster R-CNN (ResNet-50)
YOLO_V5_ Overview
SSD_mobilenet_v2_320*320
The document discusses Panasonic security cameras and their features. It summarizes:
1. The cameras offer extreme visibility with technologies like low light color imaging, backlight compensation, and super dynamic range that keeps faces clear.
2. Extreme compression technologies like H.265 and smart coding significantly reduce bandwidth and storage needs.
3. The cameras provide extreme security with features like tamper detection, encryption, and FIPS compliance.
The document proposes several solutions for banks including M-View, M-Access, and M-Recover. M-View allows banks to capture images and electronic journals from ATM transactions to help investigate disputes and fraud. M-Access allows remote updating of files on ATMs without sending engineers to each machine. M-Recover aims to automatically fix many ATM errors without human intervention to improve uptime. The document also describes Diebold's anti-skimming solution which uses infrared sensors and LEDs to directly detect skimming devices, detect lack of user movement that may indicate a skimmer, and ensure a hand is detected during card insertion to prevent PIN capture.
Sensors, Wearables, Wi-Fi, Video and other Technologies for Market ResearchersMike Courtney
A look at new technology for conducing marketing research. Sensors, wearable cameras, Wi-Fi and Video analytics and other emerging tools for observing and understanding consumer behavior.
This document summarizes a research paper on a webcam-based intelligent surveillance system. The system uses a webcam as a sensor to capture live images of the monitored area. If any motion is detected in the images, the software stores the captured images in a folder. It also sends a wireless signal to a receiver. The system has three security levels - high, middle, and low - to control the monitoring sensitivity. The key modules are login, camera interfacing, image capturing and storage, motion detection, and hardware interfacing. Motion detection works by comparing images over time and detecting changes. The system is presented as an affordable alternative to other security systems like CCTV cameras that have drawbacks around costs and vulnerability to hacking.
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
traffic jam detection using image processingMalika Alix
1. The document discusses using image processing techniques to detect traffic jams through analyzing video frames captured by road cameras.
2. Key steps include extracting frames from video, converting to grayscale and binary, applying morphological operations like erosion and dilation, and comparing frames to detect vehicle motion between frames and count vehicles to assess traffic levels.
3. A proposed system sends frame data from cameras to a server for processing, which analyzes frames to determine traffic status and shares this with a mobile app to help users choose alternative routes.
SVM and Decision Tree algorithms were developed to detect and track vehicles in images and videos. Python was used to create and train these models. The goal was to automatically detect and track both static and moving vehicles. The paper compares the two algorithms on the same dataset and preprocessing to determine the best performing model for vehicle counting. Limitations include accuracy issues with varying lighting and camera angles, as well as the high costs and complexity of implementing such systems.
This document proposes an anti-theft system for automobiles to address India's high vehicle theft rate. A team of Ramkumar P, Suresh Bobba, and Rashid Ahmed presents the problem of one vehicle being stolen every five minutes in India, resulting in over 1,000 crore rupees in losses annually. Their proposed solution is to install an anti-theft system in all vehicles that ceases the engine and prevents starting when activated. The system would also lock doors, send location/photos to the owner and police via GPS when activated. Working principles involve a GPS system and microcontroller to execute the anti-theft functions.
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
Responsible for Production? Let Dover Energy Automation add two more senses to your optimization routine. Adding vision helps you see the what is going on at the well site. And, for those with keen domain knowledge, we add sound so that you can actually hear what is happening at the well site.
The document discusses various features and capabilities of an IP video surveillance solution, including:
1) Support for different camera types and resolutions from low to high end, with the latest H.265+ codec allowing for video storage savings of up to 83%.
2) Capabilities like variable resolution, WDR, EXIR 2.0 IR, and high frame rates that provide excellent image quality even in low light or high contrast scenes.
3) Intelligent functions such as intrusion detection and queue management analytics that provide alerts and insights for enhanced security and operations.
4) Features such as dewarping, facial recognition, and forensic search tools that improve usability and efficiency for monitoring large and complex sites
Hello everyone,
I'm Darshan,
This video is about presentation and demonstration of simulation project Car Black Box that I have developed during Embedded Systems internship conducted by Emertxe Information Technologies.
This a microcontroller project in which microcontroller PIC16F877A is used.
Black Box implementation in an Automotive System to log critical events. This will help in pro-active vehicle monitoring and maintenance.
The concept of Black Box is mainly heard by us in case of Aero-planes. Upon a catastrophe the Black Box is used to analyze the root cause of the issue. However, the purpose of Black Box can go beyond catastrophe analysis. Also known as an event data recorder (EDR) or Accident data recorder (ADR) the Black Box can be installed in some automobiles to record various events. These events which are electronically sensed can often pro-actively detect any issue in the vehicle (ex: Engine fault) or monitor the fleet (ex: Drive over speeding), thereby doing pro-active maintenance of the Automotive vehicle.
For source code check this:
https://github.com/DarshanGhorpade/Car-Black-Box
This document summarizes a research paper on developing a smart web cam motion detection surveillance system using a low-cost webcam. The system aims to detect intruders and stop intrusions in progress. It does this by comparing frames from the webcam video stream to detect motion. When motion is detected, it sounds an alarm, emails photos of the intruder to the administrator, and sends an SMS alert. The system is designed to be low-cost by using a webcam instead of more expensive security cameras. It outlines the system architecture, including capturing video, comparing frames to detect motion, storing motion frames, and alerting the administrator. It also discusses related work on motion detection and implementation details like background/foreground separation.
Video / Image Processing ( ITS / Task 5 ) done by Wael Saad Hameedi / P71062Wael Alawsey
This document discusses video and image processing. It begins by defining image processing as the conversion of images to digital form to perform operations like enhancement. The main purposes and types of image processing are then outlined. Applications of video/image processing discussed include intelligent transportation systems, remote sensing, object tracking, defense surveillance, biomedical imaging, and automatic visual inspection systems. Pixel analysis and its relationship to image resolution is also explained. The document concludes by discussing the use of CCTV cameras in traffic management centers to monitor traffic conditions and incidents.
Smart Parking Solution using Camera Networks and Real-time Computer VisionIRJET Journal
This document proposes a smart parking solution using computer vision and AI techniques applied to existing surveillance camera footage. The system would detect vacant parking spots, identify vehicle license plates, detect collisions, and track parking durations to calculate fees. It would provide real-time parking information and status updates to drivers via a mobile app. The system would use deep learning models like YOLOv5 trained on labeled camera images to perform tasks like license plate recognition and space availability detection without additional hardware. This could help optimize urban parking infrastructure and reduce traffic compared to alternative IoT-based approaches.
Semi-Automated Car Surveillance System using Information RetrievalTejashree Gharat
A technique and prototype to create an intelligent surveillance system with the help of video processing for information retrieval. Done using MATLAB, GUIDE and MS Excel as the database to store links to graphic data.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
The document discusses Project Safe City, which aims to create a safe and secure city using video surveillance technology. It describes the key components of the project, including a video management system, intelligent video analytics, integration with other systems like cameras and alarms, and community features. The main video management system is the AxxonSoft VMS, which can monitor up to 175,000 cameras across large installations. It also covers the technology used, like LPR, face recognition, and various types of video detection analytics. Connectivity options and camera specifications are reviewed. Lighting solutions are discussed as important for image quality. The benefits of the integrated intelligent surveillance system are highlighted.
This document proposes a real-time image processing (RTIP) algorithm to detect vehicle queues at traffic junctions using a low-cost system. The algorithm has two main operations: 1) motion detection using frame differencing and thresholding, and 2) vehicle detection using a Separable Morphological Edge Detector (SMED) operator and thresholding. The algorithm aims to accurately measure queue parameters such as queue length with 95% accuracy. It uses simple spatial-domain techniques for real-time processing with low computational requirements.
Traffic Accident Detection
The Problem is to build a reliable and accurate traffic accident detection system using state-of-the-art object detection models. The system should be able to analyze live video feeds from CCTV cameras and determine whether an accident has occurred or not, based on the presence of specific visual cues such as collision, and vehicle damage. The system's performance will be evaluated based on accuracy, precision, recall, and computational efficiency.
Faster R-CNN (ResNet-50)
YOLO_V5_ Overview
SSD_mobilenet_v2_320*320
The document discusses Panasonic security cameras and their features. It summarizes:
1. The cameras offer extreme visibility with technologies like low light color imaging, backlight compensation, and super dynamic range that keeps faces clear.
2. Extreme compression technologies like H.265 and smart coding significantly reduce bandwidth and storage needs.
3. The cameras provide extreme security with features like tamper detection, encryption, and FIPS compliance.
The document proposes several solutions for banks including M-View, M-Access, and M-Recover. M-View allows banks to capture images and electronic journals from ATM transactions to help investigate disputes and fraud. M-Access allows remote updating of files on ATMs without sending engineers to each machine. M-Recover aims to automatically fix many ATM errors without human intervention to improve uptime. The document also describes Diebold's anti-skimming solution which uses infrared sensors and LEDs to directly detect skimming devices, detect lack of user movement that may indicate a skimmer, and ensure a hand is detected during card insertion to prevent PIN capture.
Sensors, Wearables, Wi-Fi, Video and other Technologies for Market ResearchersMike Courtney
A look at new technology for conducing marketing research. Sensors, wearable cameras, Wi-Fi and Video analytics and other emerging tools for observing and understanding consumer behavior.
This document summarizes a research paper on a webcam-based intelligent surveillance system. The system uses a webcam as a sensor to capture live images of the monitored area. If any motion is detected in the images, the software stores the captured images in a folder. It also sends a wireless signal to a receiver. The system has three security levels - high, middle, and low - to control the monitoring sensitivity. The key modules are login, camera interfacing, image capturing and storage, motion detection, and hardware interfacing. Motion detection works by comparing images over time and detecting changes. The system is presented as an affordable alternative to other security systems like CCTV cameras that have drawbacks around costs and vulnerability to hacking.
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
traffic jam detection using image processingMalika Alix
1. The document discusses using image processing techniques to detect traffic jams through analyzing video frames captured by road cameras.
2. Key steps include extracting frames from video, converting to grayscale and binary, applying morphological operations like erosion and dilation, and comparing frames to detect vehicle motion between frames and count vehicles to assess traffic levels.
3. A proposed system sends frame data from cameras to a server for processing, which analyzes frames to determine traffic status and shares this with a mobile app to help users choose alternative routes.
SVM and Decision Tree algorithms were developed to detect and track vehicles in images and videos. Python was used to create and train these models. The goal was to automatically detect and track both static and moving vehicles. The paper compares the two algorithms on the same dataset and preprocessing to determine the best performing model for vehicle counting. Limitations include accuracy issues with varying lighting and camera angles, as well as the high costs and complexity of implementing such systems.
This document proposes an anti-theft system for automobiles to address India's high vehicle theft rate. A team of Ramkumar P, Suresh Bobba, and Rashid Ahmed presents the problem of one vehicle being stolen every five minutes in India, resulting in over 1,000 crore rupees in losses annually. Their proposed solution is to install an anti-theft system in all vehicles that ceases the engine and prevents starting when activated. The system would also lock doors, send location/photos to the owner and police via GPS when activated. Working principles involve a GPS system and microcontroller to execute the anti-theft functions.
In today's competitive environment, the security concerns have grown tremendously. In the modern world, possession is known to be 9/10'ths of the law. Hence, it is imperative for one to be able to safeguard one's property from worldly harms such as thefts, destruction of property, people with malicious intent etc. Due to the advent of technology in the modern world, the methodologies used by thieves and robbers for stealing has been improving exponentially. Therefore, it is necessary for the surveillance techniques to also improve with the changing world. With the improvement in mass media and various forms of communication, it is now possible to monitor and control the environment to the advantage of the owners of the property
Responsible for Production? Let Dover Energy Automation add two more senses to your optimization routine. Adding vision helps you see the what is going on at the well site. And, for those with keen domain knowledge, we add sound so that you can actually hear what is happening at the well site.
The document discusses various features and capabilities of an IP video surveillance solution, including:
1) Support for different camera types and resolutions from low to high end, with the latest H.265+ codec allowing for video storage savings of up to 83%.
2) Capabilities like variable resolution, WDR, EXIR 2.0 IR, and high frame rates that provide excellent image quality even in low light or high contrast scenes.
3) Intelligent functions such as intrusion detection and queue management analytics that provide alerts and insights for enhanced security and operations.
4) Features such as dewarping, facial recognition, and forensic search tools that improve usability and efficiency for monitoring large and complex sites
Hello everyone,
I'm Darshan,
This video is about presentation and demonstration of simulation project Car Black Box that I have developed during Embedded Systems internship conducted by Emertxe Information Technologies.
This a microcontroller project in which microcontroller PIC16F877A is used.
Black Box implementation in an Automotive System to log critical events. This will help in pro-active vehicle monitoring and maintenance.
The concept of Black Box is mainly heard by us in case of Aero-planes. Upon a catastrophe the Black Box is used to analyze the root cause of the issue. However, the purpose of Black Box can go beyond catastrophe analysis. Also known as an event data recorder (EDR) or Accident data recorder (ADR) the Black Box can be installed in some automobiles to record various events. These events which are electronically sensed can often pro-actively detect any issue in the vehicle (ex: Engine fault) or monitor the fleet (ex: Drive over speeding), thereby doing pro-active maintenance of the Automotive vehicle.
For source code check this:
https://github.com/DarshanGhorpade/Car-Black-Box
This document summarizes a research paper on developing a smart web cam motion detection surveillance system using a low-cost webcam. The system aims to detect intruders and stop intrusions in progress. It does this by comparing frames from the webcam video stream to detect motion. When motion is detected, it sounds an alarm, emails photos of the intruder to the administrator, and sends an SMS alert. The system is designed to be low-cost by using a webcam instead of more expensive security cameras. It outlines the system architecture, including capturing video, comparing frames to detect motion, storing motion frames, and alerting the administrator. It also discusses related work on motion detection and implementation details like background/foreground separation.
Video / Image Processing ( ITS / Task 5 ) done by Wael Saad Hameedi / P71062Wael Alawsey
This document discusses video and image processing. It begins by defining image processing as the conversion of images to digital form to perform operations like enhancement. The main purposes and types of image processing are then outlined. Applications of video/image processing discussed include intelligent transportation systems, remote sensing, object tracking, defense surveillance, biomedical imaging, and automatic visual inspection systems. Pixel analysis and its relationship to image resolution is also explained. The document concludes by discussing the use of CCTV cameras in traffic management centers to monitor traffic conditions and incidents.
Smart Parking Solution using Camera Networks and Real-time Computer VisionIRJET Journal
This document proposes a smart parking solution using computer vision and AI techniques applied to existing surveillance camera footage. The system would detect vacant parking spots, identify vehicle license plates, detect collisions, and track parking durations to calculate fees. It would provide real-time parking information and status updates to drivers via a mobile app. The system would use deep learning models like YOLOv5 trained on labeled camera images to perform tasks like license plate recognition and space availability detection without additional hardware. This could help optimize urban parking infrastructure and reduce traffic compared to alternative IoT-based approaches.
Semi-Automated Car Surveillance System using Information RetrievalTejashree Gharat
A technique and prototype to create an intelligent surveillance system with the help of video processing for information retrieval. Done using MATLAB, GUIDE and MS Excel as the database to store links to graphic data.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
1. COMPACT GUIDE
Basic Information And Useful Practical Tips For The
Optimal Use Of MxAnalytics With 5MP/6MP-Cameras
Camera-Integrated Video Analysis & Behavioral Detection
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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3. 1. MxAnalytics: Camera-Integrated Video Analysis With MOBOTIX Single Lens Cameras
How many people go in and out of which entrance during the day? How many people take
the stairs and how many take the elevator? With the camera-integrated video analysis tool
MxAnalytics, MOBOTIX is offering for all single lens cameras valuable added information
users can leverage to optimize processes or for marketing purposes.
MxAnalytics makes it possible to collect statistical behavior data on people and objects.
This is done by defining recognition zones (full live feed or a partial area) and counting
corridors. The camera then records how often each counting corridor is crossed within a
specified period. The most frequented areas in the recognition zone are highlighted in color as a heat map.
MxAnalytics can be activated and deactivated manually, based on a signal, or following a time table. The results
are saved in the camera every 15 minutes and can be exported manually or at specified times (report profiles). Only
around 30 MB per day or 1 GB per month of the camera’s internal memory are required for continuous analysis.
MxAnalytics Available For All Single Lens Cameras Via Firmware (MX-V4.4.0.31 or higher)
MxAnalytics is available with all functions free of charge for all Q25, D25, M25, i25, c25, p25, S15M and T25
(5MP or 6MP sensor, day or night version, any lens) with firmware MX-V4.4.0.31 or higher.
For more information and news, please see the release notes of the firmware on the MOBOTIX website:
www.mobotix.com > Support > Software Downloads > Cameras > MX-System Release 4.4.0.31 (or higher)
MxAnalytics – Highlights
Live analysis without network load, decentralized in the camera
No additional devices like computers, servers or black boxes required
Free video analysis software with no usage restrictions
Also available for previously installed cameras via firmware update
Easy configuration and operation for the user
Automatic counting corridor and heat map reports
Counting corridor solution can be configured to only count objects that move in a predefined direction
(e.g., people who directly move from a supermarket’s entrance to a shelf with special offers)
Up to 16 different counting corridors can be defined and evaluated in parallel for each camera
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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4. Visualize Highly Frequented Areas (Heat Maps)
Which shelves in the shop are attracting the most
customers this Saturday? Which paintings by the new
artist hold the attention of the visitors most? Which waiting
areas in the departure hall are preferred in the afternoon?
All movements of objects of a particular size are recorded
and evaluated, either in the live image or in a previously
defined detection area, to provide answers to questions
like these. The frequency of the movements is shown
visually by means of different colors in a heat map.
Count People And Objects (Statistics)
You can define counting corridors in appropriate locations
in the camera feed to find out, for example, how many
people walk in and out of each entrance of a shop over
the course of a week (the system always generates two
counts). The camera records how often each counting
corridor is crossed within a specified period. The reliability
of the count depends (a) on the similarity of the sizes and
shapes of the persons or objects in the image, (b) on the
distance between them (in terms or time or spatial
distance), (c) on how effectively they can be visually
distinguished from the underlying background, and (d)
how close the counting corridor is to the center of the
image (camera focus).
Example of a counting corridor weekly report (browser view)
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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5. 2. Behavioral Detection With c25, Q25, S15M
The image analysis events now feature a new type, the "behavioral detection". This means that you can use the
results from the "MxAnalytics" image analysis toolbox to directly trigger events. Behavioral detection is only
available in the Q25, S15M and c25 with a hemispheric 180° lens (B016/L10) when mounted to the ceiling (with day
or night sensor). The camera has to be orientated north: That means that the main direction of movement as a
position of the clock face corresponds with 12 o'clock exactly to the north direction in the full image (see picture of
"Opposite Direction" below).
Detectable Movements – The Seven Alarm Types
Behavioral detection allows to trigger an event (e.g., recording, alarm, message) based on six different alarm types.
The behavior to be detected is defined by special movements of people or objects – hereinafter referred to as
objects – in the image area, which are not expected or desired in the application scenario and/or require a direct
response: e.g., a message to the branch manager when a customer has to wait longer than four minutes at a
supermarket checkout. The position of an object can be detected with an accuracy of +/- 20 centimeters (8 inch).
"Corridor": If an object crosses a defined MxAnalytics counting
corridor (see left side of the picture), an event is triggered and
optionally a white and blue icon (traffic sign) is shown. You can
also activate several different corridors at the same time for this
alarm type.
"Opposite Direction": An event is triggered when an object
moves opposite to the defined main direction. This direction is set
as a position of the clock face. In the example image shown, the
main direction "12 o'clock" corresponds with the black arrow from
6 to 12 o'clock or from bottom to top. The person in the image
area (detected as a moving object and therefore
marked with red pixels) walks opposite to the main
direction towards "6 o'clock".
"Turn": Using the behavioral detection it is possible to detect
whether an object is leaving the path defined as main direction.
An event is triggered when an object deviates in an angle larger
than 45° and smaller than 135° from the defined main direction
axis (here: from the virtual line between 12 and 6 o’clock).
"U-Turn": In case MxAnalytics detects an object that deviates
from the defined main direction axis in an angle of in between
135° and 180°, this change is interpreted as U-turn and an event is
triggered.
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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6. "Speed": This type sets a speed limit of 1 to 6 meters per second.
Events are triggered whenever an object is detected in the image
that moves faster. A value of 1 m/s corresponds to a speed of 3.6
km/h, i.e. the speed of an average pedestrian.
"Duration of Stay": Whenever a detected object stays or moves
within the image longer than the defined maximum duration of
stay (values between 1 and 300 seconds), an event is triggered.
For optimum detection results constant lighting conditions are
decisive (ideal: artificial light, no shadows). With direct sun and
diffuse shadows it is in most cases only possible to detect
durations of stay of a few seconds reliably. The “Duration of Stay”
is not suitable for left-luggage detection.
"Restricted Area": With camera firmware version MX-V4.4.0.31 or
higher an event can also be triggered if something enters a
“digitally marked,” rectangular restricted area within the image.
Up to 20 different restricted areas can be activated simultaneously
for each camera by creating multiple profiles. Active restricted
areas can be hidden or made visible within the image by
selecting the desired color and transparency.
See page 10 for further information on Configuring Behavioral Detetection.
Behavioral detection – the most important conditions:
‣ Only available in the models Q25, S15M and c25 when mounted to the ceiling (lens "looks" downwards)
‣ Only with hemispheric lens (B016/L10) and with camera software 4.4.0.31 or higher for all functions
‣ The white and blue alarm type icons shown on this double page are very CPU intensive and should only be enabled during
the setup
‣ Installation height of the camera should be at least 2.5 m (8 ft), better more than 3–4 m (10–13 ft)
‣ To define a main direction, the camera must be orientated "north" (north = 12 o'clock in the full image)
‣ Ambiant brightness not less than 10 lux, better more than 30 lux
‣ Sidelight should be avoided because of strong shadow impact
‣ A constant light situation (artificial light, no shadows) will help to avoid false alarms mainly caused by fast and strong
changes in brightness
‣ Common MxAnalytics settings are valid for MxAnalytics and behavioral detection
‣ Changes of settings for behavioral detection also change MxAnalytics settings, even if MxAnalytics is not activated and you
don’t see setting pages there
‣ MxAnalytics algorithms are automatically (de-)activated as soon as a behavioral detection sensor (alarm type) is
(de-)activated
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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7. 3. Defining Counting Corridors
The three factors that define a counting corridor in the live feed, direction, length and width, are easily configured
using the shift and control key (Shift and Ctrl) and a mere three clicks of the mouse:
Click 1 (for 1st reference point): Shift+Ctrl+mouse click (Apple: Cmd instead of Ctrl)
Click 2 (for length and direction): Ctrl+mouse click (Apple: Cmd instead of Ctrl)
Click 3 (for width): Single mouse click
Using Apple computers, you have to press the Cmd/Command button instead of Ctrl/Control. Clicks 2 and 3 can
be corrected (repeated) at any time. When redoing click 1, the other points are cleared.
The image shows a counting corridor at the entrance of a foyer, indicated by two yellow arrows, which was defined with three mouse clicks
(click 1–3): Click 1 defines the first reference point, click 2 determines the north direction and length of the corridor, while click 3 defines the
width. The system counts all objects that cross the entire corridor (from north to south and vice versa). Since the counting started, 444 people
entered the foyer (green upper number in the center of the corridor; i.e., objects crossing the corridor alongside the arrow towards the north),
and 519 people crossed the counting corridor in the opposite direction (red bottom number, movement from top to bottom).
Examples Providing Additional Details
Image A: Object x crosses the counting corridor and is counted. It
will even be registered if the object moves very quickly or remains
within the counting corridor for a long time before leaving it.
Image B: Object x enters the corridor somewhat to the side of the
lower border, but the distance covered within the corridor (red line)
is long enough for the system to count it.
Image C: Object x enters the corridor even farther up and to the
side of the lower border. The distance covered within the corridor
is too short, so the system does not count it.
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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8. 4. Tips & Tricks For Optimized Analysis Results
Create consistent lighting conditions
It is crucial to keep lighting both as constant as possible and sufficiently bright to obtain optimal results. All optical
factors that may negatively impact MxAnalytics results should be avoided. The results may be flawed if this is not
possible.
The following factors may negatively affect MxAnalytics:
• Direct sunlight
• Constantly changing lighting
• Insufficient light
• Overexposed areas
• Reflective surfaces (mirrors, windows, etc.)
The MxAnalytics environment settings provide the option to diminish the adverse effects of disruptive lighting such
as sunlight glare or shadows in order to improve the analysis result.
Limit detection areas (for heat maps only)
Always mark only the areas in the camera live image that you actually want to evaluate in the heat map using
MxAnalytics. Omitting non-relevant areas (for example, window surfaces, walls, ceilings, etc.) reduces the
processing power required by the camera, which in turn leads to higher frame rates and improved analysis results.
Limit object size
A minimum object size for detection should be specified to ensure that the system only tracks and evaluates
movement of the relevant objects inside this detection area.
Use time tables for MxAnalytics
If the camera should only be used for MxAnalytics during specific times (for example, Monday to Friday, 9 a.m. to
12 p.m.), it makes sense to configure the camera to use an appropriate time table. This provides an advantage by
freeing up the full processing power of the camera in the remaining time for other (security) functions such as
event-controlled recording and makes more efficient use of the storage space on the microSD card.
Reduce image resolution
The current resolution of the camera should be kept as low as possible (MOBOTIX recommend using VGA) to
achieve the highest possible frame rates for MxAnalytics.
Use a high-contrast underlying surface
The more the objects to be recognized differ in color from the underlying surface or background, the more reliable
are the MxAnalytics results. An underlying surface with high contrasts (for example, large black and white
checkerboard pattern) further improves analysis results.
MxAnalytics online help in the browser
A comprehensive description of the individual MxAnalytics setting options is available in the online help of the
camera’s user interface. To open the help, go to Setup Menu > MxAnalytics Control and then click the question
mark icon in the top right corner.
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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9. 5. Configuring MxAnalytics In The Web Browser
Procedure Step 1 – 10 Details
1. Update the camera firmware (when needed). MxAnalytics for all MOBOTIX 5MP/6MP single lens cameras is contained
in the version 4.4.0.31 (and higher) and can only be configured via its
web user interface.
2. Format the microSD card for MxAnalytics
(Admin Menu > Storage).
Any recordings that need to be preserved need to be exported first Open
the required menus by clicking the Player button and then the Save
button in the browser (see figure).
3. Configure camera presettings for
optimal analysis results
Full image, VGA, Recording: Off
4. Open the special MxAnalytics menus Under MxAnalytics Control in the Setup menu
5. Enable MxAnalytics under
“General MxAnalytics Settings.”
The settings under “More” are normally not necessary.
6. Edit the “Time Table” selection list. Specify here the times at which MxAnalytics should be enabled in the
camera. If “(no time table)” is selected, MxAnalytics will be enabled
permanently. It is also possible to automatically deactivate MxAnalytics if
light falls below a configurable minimum luminous intensity
(5/10/15/20 lux).
7. Specify detection areas, counting corridors,
object sizes and other relevant
settings. Click "Set" and then "Close."
Detection areas are only relevant for the heat maps (not for counting
corridors).
8. Create report profiles (Setup Menu >
MxAnalytics Control > Counting Corridors/
Heat Map Report Profiles).
All collected MxAnalytics data will be saved on the microSD card
according to the “time table.” It is possible to view selected data only
using report profiles (for example, last week’s values for counting
corridor 3). Common report profiles are predefined in the system.
9. Manually create reports (Setup Menu >
MxAnalytics Control > Counting Corridors/
Heat Map Report Profiles).
MxAnalytics reports (heat map and counting corridor value tables) are
displayed using a selected report profile in the browser (“Create report”
function). They can then be printed and saved locally to the computer.
10. Generate reports automatically and send via
e-mail (Setup menu > MxAnalytics
Control > MxAnalytics Overview).
Counting corridor and heat map reports can also be prepared regularly
and sent as an e-mail attachment.
Click the left red point under “E-mail profile” (red point = no e-mail
profile configured yet, green point = e-mail profile successfully
configured) in the “Report profiles” section. Then add a new
e-mail profile and click “Set” and “Close.”
By clicking on the right red point under “E-mail profiles” in the “Report
profiles” section, it is possible to set the sending time of the e-mail (green
point = time control already set up) for the new e-mail profile just created
(profile name is shown). Next, click “Set” and “Close.”
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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10. Configuring Behavioral Detection
To configure the behavioral detection, see the Image Analysis Events section of the Setup Menu > Event Control >
Event Overview dialog. You can also use behavioral detection without having to activate MxAnalytics (in the
General MxAnalytics Settings dialog). Note that neither the heatmap nor other elements unused by behavioral
detection are displayed and there is no storage of MxAnalytics results on the SD card. In such a case, MxAnalytics
automatically works "in the background".
The Image Analysis Events section allows adding the event sensor type Behavioral Detection.
Click on the button Edit.... To configure such a new profile, you can select one of the "alarm types" (Corridor,
Duration of Stay ....) and set other parameters as required.
For detailed information on this topic, please see the camera's online help of the dialogs. To open it just click on the
question mark icon top on the right side.
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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11. 6. Basic Technical Specifications
MxAnalytics With 6MP CamerasMxAnalytics With 6MP Cameras
Required camera
D25, M25, Q25, S15M, T25, i25, c25 or p25 with 5MP/6MP day or night sensor
IMPORTANT: Behavioral detection is available only with ceiling-mounted cameras
c25, Q25 and S15M with a hemispherical lens!
Camera firmware required Min. MX-V4.3.4.83, complete range of functions with MX-V4.4.0.31 or higher
Lens
Behavioral detection only with B016 hemispherical lens, otherwise no restrictions, but
lenses B016, B036 or B041 recommended (180°, 103° or 90°)
Camera view Full image (recommended)
Resolution VGA (recommended)
Ambient brightness
> 30 lux (recommended), not less than 10 lux
Sidelights should be avoided (shadow impact)!
Installation site
Ceiling mounting indoors
Wall installation only suitable for heatmaps
Installation height 180° lens 2.5 to 6 m / 8 to 19 ft
Installation height 90°–103° lens 6 to 10 m / 19 to 33 ft
Storage location
Camera-integrated microSD card, specially formatted for MxAnalytics: When
formatting the card using the special one-time procedure (memory card partitioning
for MxAnalytics and for all other camera recordings), any recorded data you need to
preserve needs to be transferred to another storage medium first (for example,
a hard drive).
Max. storage requirement 1 GB/month (to save MxAnalytics results data daily and around the clock)
MxAnalytics activation
- Manual (on/off)
- Via time table (for example, Mon–Fri, 8 a.m.–6 p.m.)
- Via camera signal inputs (for example, possible with MX-Input-Box)
Counting precision
Very high given suitable lighting conditions and when individual persons/objects are
far enough apart
Detection areas (for heat maps) 1 to n areas individually definable (defined areas can be excluded)
Heat maps and counting corridors
- Results selectable by report profile
- Automatic e-mail notification or FTP upload
- A maximum of 16 counting corridors can be defined
Report profiles Freely configurable, predefined default profiles (day/week/month)
Export format
- Heat map: JPEG (displayed in last live image or reference image)
- Counting corridor report: HTML or CSV (table view)
Specific information It is no longer necessary to define an “event dead time.”
In General:
The quality of the MxAnalytics results improves depending on the attainable frame rate. For this reason,
processor-intensive camera functions should not be additionally used while analyses are running
(recommendation: only use a low VGA live image resolution, avoid image distortion correction, avoid event
recording, audio, etc.).
MxAnalyticsEN
MOBOTIX AG • D-67722 Langmeil • Tel: +49 6302 9816-103 • www.mobotix.com • 2016-05-11
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