How MTData built a CVML vehicle telematics and driver monitoring solution with AWS IoT
Internet of Things Blog
The article summarizes how MTData, a subsidiary of Telstra, built an innovative vehicle telematics and driver monitoring solution using AWS IoT services. The solution combines traditional regulatory telematics functions with advanced video recording and computer vision features to monitor driver focus, fatigue, and distraction.
Specifically, the article covers:
- An overview of the solution architecture, which includes the 7000AI in-vehicle device, the Hawk-Eye application for vehicle location and telemetry data, and the Event Validation application for reviewing detected events and associated video clips.
- The software composition of the 7000AI device, which uses AWS IoT Greengrass to deploy and manage custom IoT/CVML components, along with pre-built AWS components.
- Device management using AWS IoT Greengrass deployments, including operating system image updates.
- Edge CVML inference to detect driver drowsiness or distraction.
- Video ingestion to Amazon Kinesis Video Streams and playback using the Archived Media API.
- Settings management using AWS IoT Device Shadow service.
- An MLOps pipeline for retraining and enhancing CVML models.
- Conclusion highlighting the benefits of using AWS IoT services for building advanced telematics solutions.
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