Korean researchers create AI-powered CCTVs to detect and predict criminal activities
A Korean research team has succeeded in developing a technology that can detect and predict signs of criminal activities utilizing real-time CCTVs and AI technology, reports a Kazinform News Agency correspondent, citing Techxplore. With this new technology, CCTV is now evolving beyond its initial role of surveillance, opening up its potential as an effective way of 'preventing' crimes.
Electronics and Telecommunications Research Institute (ETRI) has recently announced that they have completed the development of “Dejaview” an innovative technology that uses CCTV footage, crime-related statistics, position determination technology, etc., to detect signals of potential crimes and predict the possibility of crime occurrence.
The researchers of “Dejaview” revealed that they have focused on the tendency of crimes to occur repeatedly based on a certain pattern, such as type, method, location, time, etc. “Dejaview” is an AI-based technology that measures and predicts the risk of potential crimes by comparing current environmental/social patterns with past criminal cases.
ETRI’s “Dejaview” which predicts the occurrence of criminal activities through a “chance-based approach” can be classified into two different technologies according to the application target and method. The first is time/space-oriented crime prediction, which analyzes factors like time and location to assess crime risks. For instance, if a crime previously occurred in a remote area late at night, the system flags a high risk for future crimes there. “Dejaview” uses past criminal data and real-time CCTV footage to track and prevent incidents such as stalking, fires, or smuggling. It’s designed for use by police and integrated CCTV centers.
In collaboration with Seocho-gu district, ETRI developed a Predictive Crime Map (PCM), analyzing 32,656 CCTV recordings from 2018-2021. The system identifies high-risk areas and allows selective monitoring. In a performance test, it achieved 82.8% accuracy in predicting crimes.
The second feature is a recidivism prediction technology, targeting individuals at high risk of reoffending. It tracks movement patterns and assesses the likelihood of further crimes using AI, enhancing current electronic monitoring systems.
ETRI aims to expand “Dejaview” into various safety services, such as crime prevention for key infrastructure and national events. The technology will also support proactive responses to high-risk individuals under electronic monitoring. Commercialization is expected by the end of next year.
