Tamil Nadu, India Launches AI-Driven Safety Project for Public Transport

The Chief Minister of the state of Tamil Nadu, India, recently launched an artificial intelligence (AI)-enabled panic button and CCTV surveillance project to make travel safer. The initiative will be implemented in phases, aiming to cover 2,500 buses in Chennai city. Under the first phase, 500 buses in the metro city have installed four panic buttons, an AI-enabled mobile network video recorder (MNVR), and three cameras each.

According to a report by the government’s AI portal, the MNVR will be connected to a cloud-based control centre via a 4G GSM SIM card. In case of inconvenience, discomfort, or threat, passengers will be able to press the panic button and record the incident. At the same time, an alarm will go off at the control centre along with a video recording of the incident on the bus. The operator at the control centre will be able to monitor the situation and facilitate, in real-time, the next course of action, the report said.

The control centre has been linked to the distress response centre of the city police and Greater Chennai Corporation. The state government has noted that 31 bus depots and 35 bus terminuses of the Metropolitan Transport Corporation (MTC) have been brought under surveillance. The project will also help detect missing persons and identify criminals and other works of the GCC, transport department, and the police.

Other states across the country have also deployed technology-enabled solutions to better monitor traffic. In April, the Ministry of Electronics and Information developed and launched indigenous onboard driver assistance and warning system (ODAWS), a bus signal priority system, and a Common Smart IoT Connectiv (CoSMiC) software to improve road safety.

ODAWS uses sensors to monitor driver propensity and vehicle surroundings and send out acoustic and visual alerts. The ODAWS algorithm is used to interpret sensor data and offer real-time notifications to the driver. The bus signal priority system is an operational strategy that modifies normal traffic signal operations to better accommodate in-service public buses at signal-controlled intersections.

CoSMiC is middleware software that provides the standard-based deployment of the Internet of things (IoT), which follows the oneM2M-based global standard. It facilitates users and application service providers in vertical domains to use application-agnostic open standards and interfaces for end-to-end communication with well-defined common service functionalities. The CoSMiC common service layer is used to interface with any vendor-specific standards and to increase interoperability with smart city dashboards.

More recently, the Kerala state government announced it would deploy AI-based cameras on traffic-heavy roads in a bid to reduce accidents by half within the next two years. The government expects traffic rules to be more effectively enforced after the software is put in place, as it automates detecting road violations and issuing fines. Once the system captures the breach of the road rules, the footage will be sent to the central government’s server. The vehicle owner will receive an SMS regarding the fine, and, at the same time, the information will directly be sent to court. This will reduce corruption as it limits local authorities from waiving the penalty.