A group of faculty of engineering students at the Canadian University of Dubai fostered an integrated system to detect, predict and prevent criminal conduct through an artificial intelligence app.
The system, known as [Track 3], means to offer specialized help to law authorization specialists to stop future criminal exercises.
The system is a graduation project of students of Computer and Network Engineering Technology, Amani Matog and Shima Felix, and students of the Department of Network Engineering: Monia Al Khidr and Mohammed Deeb.
The application utilizes progressed computer vision through a camera which gives mechanized continuous video examination, facial acknowledgment, and feeling detection.
Understudy Mohammed Deeb clarified the system isn’t equivalent to conventional CCTV innovation, which generally checked the location in the wake of perpetrating a crime.
“We utilized robotized vision to detect constant looks and non-verbal communication, showing that a wrongdoing was going to be perpetrated or effectively carried out. At the point when dubious conduct is detected, a caution is delivered to alarm security specialists,” Deeb added.
Understudy Amani said: “The system incorporates an information base which is continually refreshed. This assists the police with continueing examinations and record proof, suspects, crime locations, witnesses and whatever other significant information which can assist with discovering hints to wrongdoings and prevent future violations.
The information is available consistently to clients approved through the police web application.” Student Shima said, “We planned to foster a positive gadget. At the point when a few wrongdoings are not settled and criminals are free, everybody will be in danger.
Our system depends on a calculation which predicts criminal action through non-verbal communication and looks.” Student Monia focused on the system saves valuable time and assets. She added, “We expect to keep working with the specialists to utilize the application broadly.”
Dr Rita Zgheib, Assistant Professor and the supervisor of the project, said: “The drive combines specialized information with the individual characteristics students have created during their exploration examines.
It was great to perceive how they joined collectively and consolidated their different abilities to make a creative answer for a current worldwide issue.”