Automated system to track RSF personnel at checkpoints and crossings

Engineers Abd-el-Rahman Kamal Musa Mawloud and Mazin Ahmed Youssef have invented an advanced automated system that relies on artificial intelligence and facial recognition technologies to identify Rapid Support Forces (RSF) personnel at checkpoints, crossings and safe areas.

Engineer Abdel Rahman Mawloud said, according to Al-Moharir’s “Editor” website, that the new system project relies on an updated database containing photos and information of wanted or suspected individuals, and biometric feature analysis techniques (such as facial features, age, gender, and facial position) are used to match individuals with stored data.

He stressed that their invention aims to enhance security in safe areas and crossings by providing a reliable system to identify criminals and quickly and accurately identify wanted or suspected individuals and collaborators, reducing security risks. It also provides effective support to security forces by completing verification and matching processes.