JAKARTA - A team of students from the engineering faculty of the University of Canada, in Dubai has developed an integrated system to detect, predict and prevent criminal behavior through the application of artificial intelligence. The system, known as Track 3, aims to provide technical support to law enforcement officials to stop future criminal activity.
This system is a graduation project of Computer and Network Engineering students, Amani Matog and Shima Felix, and students of the Department of Network Engineering: Monia Al Khidr and Mohammed Deeb.
The app uses advanced computer vision through a camera that provides automatic real-time video analysis, facial recognition, and emotion detection.
Student Mohammed Deeb explained that this system is not the same as traditional CCTV technology, which usually checks the scene after committing a crime.
“We use automated vision to detect facial expressions and body language in real-time, indicating that a crime is about to be committed or has already been committed. When suspicious behavior is detected, an alarm will be released to alert security authorities," Deeb added.
“This system includes a database that is constantly updated. This helps the police to continue their investigation and record evidence, suspects, crime scenes, witnesses and other relevant data that can help find clues to crimes and prevent future crimes,” added his partner, Amani.
The data can be accessed at any time by authorized users via the police web application. “We aim to develop positive tools. When some crimes are not solved and criminals go free, everyone will be at risk," Shima said.
"Our system relies on algorithms that help predict criminal activity through body language and facial expressions," Shima said.
While Monia Al Khidr emphasizes the system saves valuable time and resources. He added, "We aim to continue to work with the authorities to make this app widespread," explains Monia.
According to Dr Rita Zgheib, assistant professor and project supervisor, said this initiative combines technical knowledge with personal qualities that students have developed during their research studies.
"It's impressive to see how they come together as a team and combine their various skills to create innovative solutions to existing global problems," said Zgheib.
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