Videonetics Artificial Intelligence & Deep Learning based Intelligent Video Analytics Videonetics Artificial Intelligence (AI) and Deep Learning (DL) enabled Intelligent Video Analytics automatically detects various types of patterns, features, intrinsics, objects, and events by continuous supervised, unsupervised and automatic self-learning mechanisms from an ocean of video data, thereby ensuring highest level of precision in detecting anomalies in tough Indian situations. Introduction of AI & DL framework not only improves the performances of the existing analytics, but also paves the way for many new security and surveillance applications. Moreover, AI & DL framework also results in true semantic analysis of the video data compared to syntactical analysis of the existing analytics. These improved and new surveillance applications are cost-effective and require low carbon footprints. Salient Features: 1. Videonetics AI & DL based Intelligent Video Analytics (IVA) solutions are platform agnostic that can integrate any product and applications. The solutions work in all OS environments - Windows, Linux, Unix, MacOS. 2. The scalable framework of the IVA has been effectively mapped in popular multi-core GPU and other computing architectures in the market place, e.g. nVidia CUDA, Intel Movidius GPU, Intel Multi-core servers and appliances, etc. 3. The learning algorithm behind AI & DL framework is adaptive to environmental condition changes such as lighting condition, fog, smog, rain, humidity, temperature, dust, camera motion, and deformity of images due to these adverse effects. 4. Especially developed for tough environment conditions, the algorithms are extensively field-tested and supports both server-based and edge analytics architecture. 5. The AI & DL framework is versatile enough and amenable to various applications such as parking lot management, intrusion detection, highway management system, crowd management system, traffic management system, accident detection, detection of violations (No Helmet, Triple Ride, Pillion ride, vehicle without a license plate, mutilated license plates, etc.), and hence adaptive to not only environmental changes, it’s adaptive to application domain as well. 6. Videonetics has developed the efficient monolithic unified architecture for its Intelligent VMS and AI & DL based Video Analytics framework, to free the customer from the hassles of integrating multi- OBJECT CLASSIFICATION
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Videonetics Artificial Intelligence & Deep Learning based Intelligent Video Analytics
Videonetics Artificial Intelligence (AI) and Deep Learning (DL) enabled Intelligent Video Analytics automatically detects various types of patterns, features, intrinsics, objects, and events by continuous supervised, unsupervised and automatic self-learning mechanisms from an ocean of video data, thereby ensuring highest level of precision in detecting anomalies in tough Indian situations. Introduction of AI & DL framework not only improves the performances of the existing analytics, but also paves the way for many new security and surveillance applications. Moreover, AI & DL framework also results in true semantic analysis of the video data compared to syntactical analysis of the existing analytics. These improved and new surveillance applications are cost-effective and require low carbon footprints.
Salient Features:
1. Videonetics AI & DL based Intelligent Video Analytics (IVA) solutions are platform agnostic that can integrate any product and applications. The solutions work in all OS environments - Windows, Linux, Unix, MacOS.
2. The scalable framework of the IVA has been effectively mapped in popular multi-core GPU and other computing architectures in the market place, e.g. nVidia CUDA, Intel Movidius GPU, Intel Multi-core servers and appliances, etc.
3. The learning algorithm behind AI & DL framework is adaptive to environmental condition changes such as lighting condition, fog, smog, rain, humidity, temperature, dust, camera motion, and deformity of images due to these adverse effects.
4. Especially developed for tough environment conditions, the algorithms are extensively field-tested and supports both server-based and edge analytics architecture.
5. The AI & DL framework is versatile enough and amenable to various applications such as parking lot management, intrusion detection, highway management system, crowd management system, traffic management system, accident detection, detection of violations (No Helmet, Triple Ride, Pillion ride, vehicle without a license plate, mutilated license plates, etc.), and hence adaptive to not only environmental changes, it’s adaptive to application domain as well.
6. Videonetics has developed the efficient monolithic unified architecture for its Intelligent VMS and AI & DL based Video Analytics framework, to free the customer from the hassles of integrating multi-
OBJECT CLASSIFICATION
party heterogeneous types of solutions, in order to yield low computational requirement and ease of maintenance.
7. Various forms of statistical reports of the events can be automatically generated using our analytics-based tools.
8. Operators get instant alert to take further action. These alerts can be received by different tools including email and SMS. The alert handling mechanism can also trigger other devices.
9. Videonetics continuous learning platform is based on a combination of different frameworks like Tensorflow, Keras, PyTorch, Caffe, CNTK etc. Majority of the learning happens on Tensorflow and other frameworks/tools are used separately as well as collectively to support different applications and different computing resources.
AI & DL Based Intelligent Video Analytics Suite:
OBJECT MONITORING Unattended Object Detection: This solution works well in empty scenes, as well as busy scenes with human activity. Multiple unattended objects in the scene can each be identified separately
Object removed: This solution works well in empty scenes, as well as busy scenes with human activity.
Unattended object & object removal detection in parallel: This solution works well in empty as well as busy scenes with human activity. Multiple unattended objects in the scene can be identified separately, and objects that have been removed can also be detected.
UNATTENDED OBJECTS
Trespassing & Trajectory: Detects a person trespassing into a premise. The trajectory of the trespasser is also traced and archived.
PEOPLE MONITORING
Footfall Count: Counts number of footfalls in a zone. This application runs on the video captured by a ceiling-mounted camera installed in 90° down angle.
People Count: Counts total number of appearances of people in a scene. However, if a person gets temporarily hidden behind another individual or some object, reappearance of that person does increase the count.
People Tracking: Tracks movement of one or more persons in the scene and creates the trajectory of movement of each person uniquely.
Face Capture: Detects a person in the scene and locates his or her face, which is saved in the database, indexed and time-stamped.
Face Recognition: Matches a captured face with a list of pre-configured faces in a face database and generates the matching score of confidence.
FORENSIC ANALYSIS & ATTRIBUTE SEARCH
• An advanced forensic tool to investigate person of interest based on clues/attributes or description given by eyewitness.
• Provide multiple options such as gender, body shape, skin tone, clothing so on to composite image of the suspect. Additionally, capable to create face sketch quickly
• Unprecedented flexibility to navigate suspect sketch across recorded video data during investigation of the case for faster results.
FENCE JUMPING
PERIMETER MONITORING
Fence Jumping: Detects when a person enters a premise illegally, by climbing over a boundary wall or fence.
• Intelligent and easily adaptable to any demographic conditions
TRAFFIC MONITORING
Stop Line Detection System The custom-built, end-to-end solution is designed for tough conditions to effectively monitor road junctions 24x7 and generate alerts in various forms when a vehicle violates red light at a traffic intersection. The system offers full VMS functionality long with incident detection analytics applications – all in a single, unified monolithic systems architecture. The system is architected in a modular fashion so that it is scalable, and additional roads can be added to the system for monitoring and incidence detection.
FORENSIC ANALYSIS & ATTRIBUTE SEARCH
STOP LINE VIOLATION DETECTION
Speed Violation Detection Videonetics Vehicle Speed Violation Detection solution is a field proven state-of-the-art video-based speed violation detection solution which is fully customized and meant for challenging traffic conditions. Exclusive of any sensors like Radar and Laser etc, Videonetics Vehicle Speed Violation Detection algorithm is powered by its pioneering research on computer vision and image highly processing. The user friendly and powerful software GUI provides rich user experience and seamless operation between various modules of Integrated Traffic Monitoring.
Wrong Direction Detection Videonetics Wrong Direction detection tracks vehicle movement in real-time and detects those vehicles which move in the wrong direction on a road. Detection of Use of Cellphone while Driving Videonetics ‘Detection of Use of Cellphone While Driving’ (DUCWD) detects in real-time those two-wheeler offenders with vehicle number plate who are using phone while driving, consequently violating traffic laws and putting their lives to risk. After capturing the license plate of the violating vehicle with ANPR, the system generate alert with the evidence video. Additionally, Detection of Use of Cellphone While Driving System can store events as well as retrieve them for later analysis. An-ultra-powerful solution DUCWD can seamlessly integrate with Integrated e-Challan Management Software and RTO database to generate challans/tickets for Using Cellphone while Driving violation event with details such as violation image, time stamp, date, vehicle number.
