AI Boosts Crime Detection in Indian Railways with Facial Recognition
Indian Railways has embarked on an innovative initiative to elevate passenger safety, with the Railway Protection Force (RPF) in Western Railway’s Rajkot Division unveiling an Artificial Intelligence-based Facial Recognition System (FRS) for crime detection. This groundbreaking technology, a first-of-its-kind in the Indian Railways, is poised to significantly strengthen the nation's railway security efforts.
Utilizing open-source codes, artificial intelligence, and deep learning algorithms, the FRS-based Criminal Dossier Search System has been developed to detect crimes, particularly those affecting passengers. The system was inaugurated by Ashok Kumar Misra, the General Manager of Western Railway, marking a milestone in the division’s commitment to ensuring the safety and security of its passengers.
After undergoing thorough testing for a duration exceeding six months, the system demonstrated promising outcomes. Initial tests revealed an FRS accuracy rate of 97.3%, and it consistently maintained an impressive 88-93% accuracy in real-time scenarios. The Rajkot Division's Railway Protection Force (RPF) is presently utilizing the system for suspect identification on trains and at stations, leveraging a criminal database that already encompasses over 600 individuals.
This groundbreaking technology holds immense potential for extensive utilization throughout Indian Railways, encompassing real-time criminal detection, tracking staff attendance, and verifying vendors. As the technology advances, it is anticipated that other divisions within Western Railway will embrace this system, thereby augmenting security measures across the entire railway network.
