The Indian Railway stations are about to undergo a significant upgrade with the introduction of Artificial Intelligence. To improve security and enhance the experience for passengers, the Union government has informed the Supreme Court of its plans to implement AI-based facial recognition systems at seven key railway stations, including Chhatrapati Shivaji Maharaj Terminus (CST) in Mumbai and the New Delhi station.
This movie comes in especially to enhance the safety of women. The government’s statement emphasized that the National Database on Sexual Offenders (NDSO) has amassed more than 2 million records of individuals associated with grave offenses such as rape, stalking, harassment, and child exploitation. If these individuals are spotted at a location, security cameras equipped with AI facial recognition technology can swiftly identify them, alerting authorities ahead of any potential incidents.
To enhance security and streamline operations, railway stations may also implement facial recognition technology. This system aims to expedite ticket checking and boarding, reducing long wait times for passengers. The initiative is part of a broader effort to turn railway stations into smart facilities, focusing on improved security, surveillance, and passenger services.
Facial Recognition At Railway Stations: How Will It Help?
Facial recognition is a biometric tool that identifies individuals by analyzing their facial features, such as the eyes, nose, mouth, and overall facial structure, through digital images or video. It relies on artificial intelligence (AI) and machine learning to match faces with data stored in various databases.
The Indian Railways aims to enhance security and improve the travel experience for passengers through advanced technology. Given that railway stations often get crowded, there’s a heightened risk of theft, terrorist acts, or other illegal activities. Utilizing facial recognition technology can aid in identifying individuals who may pose a threat, especially those listed in criminal records.
