Crash Detection

Crash Detection

Guarding your journeys

Created on 30th October 2023

Crash Detection

Crash Detection

Guarding your journeys

The problem Crash Detection solves

India is grappling with a significant road safety crisis, with approximately 1.5 lakh people losing their lives in road accidents every year. One of the pressing issues contributing to this crisis is the delayed reporting of accidents, often resulting from a lack of immediate witnesses.

To confront this problem, we propose the development of a crash detection system that harnesses AI technology to identify accidents and promptly notify the relevant authorities.

Key Features:

  1. Crash Detection: This feature identifies instances of collisions involving multiple vehicles.
  2. Speeding Detection: It recognizes when a vehicle is exceeding the legal speed limit.
  3. Wrong-Side Detection: The system can determine if a vehicle is traveling on the wrong side of the road.
  4. Traffic Congestion Detection: It can discern heavy traffic conditions on a road.

Challenges we ran into

  1. Overcoming the complexities of implementing various types of detection and alert mechanisms.
  2. Required reworking of the function responsible for handling wrong-side detection.
  3. Expensive GPU requirements for good performance
  4. Yolov detection issues, required better quality videos

Technologies used

Discussion

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