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A.C.E.

A.C.E an IoT and ML-based prototype which provides a means to save lives of thousands affected by road accidents

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Description

A.C.E. is a fastest real-time IoT and ML-based accident detection and reporting alert based system prototype. It uses the following tech:

  • IoT (Internet of Things): To gather real-time data from sensors (cameras, accelerometers, etc.).
  • Machine Learning & CNN: For real-time pattern recognition and object detection.
  • YOLO (You Only Look Once): For efficient accident detection from live video feeds.
  • Google Maps API: For accident location tracking and emergency mapping.
  • HTML/CSS/JavaScript: To build the front-end interface for user interaction.
  • SMTP & Google Requests API: For sending automated alerts to authorities and emergency contacts.

Scalable and affordable it can be possibly used for dash-cam and black box for the vehicles.

Team Leader
PPrabal Batra
Project Link
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