Bengaluru Traffic Police launch AI-powered geo-tagged e-attendance system to boost accountability

The Bengaluru Traffic Police have replaced their old biometric system with an AI-enabled, Aadhaar-linked e-attendance feature through the Astram app, ensuring real-time verification and better on-ground supervision of traffic officers.

In a major step toward improving transparency, discipline, and real-time supervision, the Bengaluru Traffic Police (BTP) have launched an advanced AI-powered geo-tagged e-attendance system through their Astram mobile app. The move marks a shift from the earlier biometric attendance method to a more precise and technology-driven solution.

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The upgraded system integrates Aadhaar-linked facial recognition and geofencing features to confirm the presence of traffic personnel at their assigned junctions. Officers must log in through the app at the start of their shift by submitting a geo-tagged selfie, which is instantly verified against their Aadhaar photo to ensure both identity and location accuracy.

The new system’s geofencing feature restricts check-ins to a 50-square-meter radius of each officer’s designated junction, preventing remote or fraudulent attendance marking. According to officials, this ensures only those physically present on-site can register their attendance.

Explaining the initiative, Joint Commissioner of Police (Traffic) Karthik Reddy said the department oversees more than 1,000 junctions across Bengaluru, operating in two shifts, 7 am to 2 pm and 2 pm to 10 pm. Earlier, it was difficult to confirm whether personnel were actually stationed at their assigned posts, he added.

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Now, supervisors can monitor officer presence and movement in real time through the Astram dashboard. Strict time slots have been set for attendance: officers must check in between 7 am and 7:15 am for the morning shift. Those logging in between 7:15 and 7:30 am are marked late, while entries after 7:30 am are automatically recorded as absences.

The results have been impressive. Out of nearly 800 to 1,000 junctions manned each day, absenteeism, once a major issue, has dropped sharply. Only one to three officers now fail to report daily. The AI-driven app also flags repeated late arrivals or early departures, helping senior officials take swift disciplinary or corrective action.