Abstract
SafeTrax uses deep learning to predict traffic accidents and car crashes. It has been implemented with the Internet of Things (IoT) to gather real-time data from sensors, and AWS Greengrass to process that data quickly and give drivers timely warnings. Unlike old safety systems, SafeTrax can predict if an accident might happen. It warns drivers beforehand to make roads safer for cars, people, and other animals. One important part of SafeTrax is the integration of AWS IoT Greengrass, which helps the system work faster by using cloud services on devices like the Raspberry Pi.
Contributions
- 01
Predictive collision detection pipeline using deep learning trained on real-time IoT sensor streams.
- 02
AWS IoT Greengrass integration enabling edge inference on Raspberry Pi with sub-second alert latency.
- 03
End-to-end system from sensor data ingestion to proactive driver warnings before accidents occur.
Headline results
Edge Device
Raspberry Pi
Cloud Integration
AWS Greengrass
Approach
Deep Learning + IoT