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HomeNewsTSRTC Buses to Get AI-powered Driver Monitoring Systems 

TSRTC Buses to Get AI-powered Driver Monitoring Systems 

The systems will detect inattentive or fatigued drivers, including drivers falling asleep, using mobile phones while driving, etc.

In an effort to improve road safety, public transport buses in Telangana will soon be equipped with driver monitoring systems (DMS), which include CCTV cameras that can identify inattentive or fatigued drivers.

In up to 190 Telangana State Road Transport Corporation (TSRTC) buses, DMS with CCTV cameras are likely to be installed, either right away or gradually. This initiative is a part of Project iRASTE, which makes use of artificial intelligence to lessen crash rates and mishaps on roadways. Tenders for this have been floated.

The system will track the driver’s facial expressions and eye movements in real-time, analyze them, and issue voice alerts within a few seconds in the event of driver distraction, or instances where the driver is frequently seen looking outside the bus. 

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Alerts will be either in Telugu, English or Hindi. Additionally, the system will transmit alarms if the driver is not wearing a seatbelt, is sleepy, or is smoking. The DMS will identify the driver using facial recognition technology and trace the journeys he has taken. 

The technology will examine both the top safest and most reckless drivers using the data at hand. Motion is captured by CCTV cameras that are mounted on the windscreen.

There are 200 buses equipped withAdvanced Driver Assistance System (ADAS) along the corridors connecting Hyderabad to Vijayawada, Hyderabad to Bengaluru, and Hyderabad to Nizamabad. The plan calls for adding DMS to the current ADAS. Buses that operate on long-distance routes are likely to have the DMS fitted.

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Sahil Pawar
Sahil Pawar
I am a graduate with a bachelor's degree in statistics, mathematics, and physics. I have been working as a content writer for almost 3 years and have written for a plethora of domains. Besides, I have a vested interest in fashion and music.

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