iCetana: AI-assisted Video Surveillance System
Over the last few years, the proliferation of video surveillance has been tremendous and has left an indelible imprint in shaping the security industry to a whole different stratosphere. The advancement in technology has supplemented human judgment and has helped security officers to garner better outcomes and improve their security portfolio. Chris Farquhar, CEO, and Director of iCetana underlines the same and mentions how his firm brings an AI assisted video surveillance system for shopping malls, college campuses, logistics and warehousing facilities, casinos and transportation hubs to detect and deter criminal behavior, and reduce risks across operations. With the iCetana system, the firm enables its clients to turn vast surveillance infrastructures into efficient live monitoring systems and pre-empt threats and risk from escalating any further.
The iCetana system leverages computer vision, machine-learning and a patented anomaly detection algorithm to detect the difference between abnormal activities and normal motion patterns. This advanced AI infused system minimizes the problem of massive video surveillance data overload by only showing the video scenes where unusual activity is occurring, activities associated with crimes and other public safety issues. As the surveillance operators can identify the unusual events in real time, they can immediately initiate a response. The real-time identification of unusual patterns renders actionable insights to the security officers along with the prowess to aggregate local, regional and global surveillance trends.
With the iCetana system, the firm enables its clients to turn vast surveillance infrastructures into effective dynamic live monitoring systems and to pre-empt threats from escalating further
Apart from boosting the security infrastructure, video surveillance has also been used for improving decision making across businesses. Today, using AI-assisted video intelligence companies can leverage their video surveillance infrastructure for health, safety, operational and production compliance. They can detect incidents related to unsafe work practices, those that violate base operational controls and those that reduce the throughput of production systems. For example in a manufacturing industry, video intelligence can be leveraged to examine operations and respond to specific issues to improve efficiency and productivity. Farquhar further mentions that AI has changed the face of video surveillance and industries are now leveraging video intelligence to garner better results across security, health and safety, operations and production. “We are very much focused on video intelligence to improve the safety and security of our clients and help them to improve day-to-day decision making for better operational and production intelligence,” he concludes.