What makes AI a game changer?
AI-based people surveillance/tracking solutions have the potential to revolutionize the existing security and surveillance industry. As video analytics algorithms and deep machine learning technologies continue to develop, camera systems and people tracking technology will become more precise and efficient in the future. This however would not diminish the need for physical security systems. AI integration will only act as a force multiplier, which will help in speedy detection of a perceived wrong coupled with fast reactions to thwart the wrong-doings, thus enabling thorough sanitisation of criminal intents and keeping the environment safe.
Stalwart’s New-Gen Video Surveillance Analytics
Stalwart’s Video Surveillance Analytics system uses computer vision technology to capture and analyse images from surveillance cameras to detect, recognize, and analyse people, events, and behaviours. Generally, these systems are also able to store videos for long periods of time for subsequent queries and analysis.
When AI technology is incorporated into video surveillance analytics systems, it can automatically analyse surveillance video without the need for human monitoring and actively alert guards or security personnel to abnormal situations through alarm notifications.
Incorporation of People Tracking technology
People tracking technology is a technique for tracking and analysing individuals in surveillance footage, typically using AI-based video analysis algorithms to identify human body contours and features. Its main purpose is to identify and analyse the movement patterns of individuals, understand their activity range, movement routes, and behavioural patterns, and further facilitate crime prevention, tracking, or searching for missing persons. People tracking technology can extensively be used to enhance public safety in places with high people-traffic such as office buildings, shopping malls, educational institutions and even large residential complexes.
How People Tracking enhances the performance of Video Surveillance Analytics system
1. Improved recognition rate: It improves the recognition rate through AI video analysis, which makes use of efficient filters for accurate identification.
2. Improved crime detection capability: It can effectively detect crime and enable tracking by analysing information such as the movement path and activity range of individuals.
3. Integration with mainstream video management systems: To achieve automatic analysis and recognition of a large number of surveillance videos, INTELLISENZ is integrated with mainstream video management systems (VMS), which allows for a seamless upgradation of the existing surveillance and security systems.