Building Cutting-Edge IoT Solutions with AWS Services
Embarking on the journey of creating an IoT device for an edge Computer Vision and Machine Learning (CVML) solution can be a daunting task. From crafting the device software to handling video and image ingestion, training models, deploying them to the edge, and remotely managing device fleets – the challenges are aplenty. AWS services like AWS IoT Greengrass, AWS IoT Core, and Amazon Kinesis Video Streams come to the rescue, enabling developers to overcome constraints and accelerate time to market.
MTData, a Telstra subsidiary, specializes in cutting-edge vehicle telematics and connected fleet management technology. Their latest offering, the 7000AI device, revolutionizes traditional telematics with advanced video recording and computer vision capabilities. By leveraging AWS IoT services, MTData has developed a solution that combines CVML inference at the edge, real-time video ingestion, and cloud-based analytics for a holistic driver monitoring experience.
The Solution Structure
Architectural Insights
The MTData solution hinges on their 7000AI device, the “Hawk-Eye” application for telemetry data, and the “Event Validation” application for event review. The high-level architecture showcases the seamless flow of data and the processing of critical insights.
Figure 1: High-level architecture of the 7000AI device and Hawk-Eye solution
Let’s delve into the core components of the MTData solution as depicted in Figure 1.
- Deployment of AWS IoT Greengrass on the 7000AI device for CVML processing at the edge.
- Transmission of telemetry and GPS data to AWS IoT Core for downstream applications.
- Utilization of the Hawk-Eye application for real-time data processing and visualization.
- Application of CVML models on the 7000AI device for driver monitoring and event detection.
- Event Validation application for event review and management using AWS serverless technologies.
Figure 2: An event displayed in the Event Validation application
Revolutionizing Edge CVML
The proprietary hardware and software of the 7000AI device enable cutting-edge CVML inference at the edge, ensuring prompt detection of driver-related events and enhancing operational safety.
Figure 4: Annotated video capture of a distracted driver event
Unleashing the Power of AWS Services
Device Management and Operation
Powered by AWS IoT Greengrass, MTData ensures seamless deployment and management of applications on the 7000AI device, overcoming connectivity challenges and deploying updates efficiently.
Continuous Improvement with MLOps
MTData’s MLOps pipeline facilitates the retraining and enhancement of CVML models using AWS cloud resources and NVIDIA TAO Toolkit, ensuring continuous advancement in driver-monitoring capabilities.
Figure 5: MLOps pipeline
Empowering Innovation and Safety
MTData’s collaboration with AWS has unlocked new realms of innovation in driver monitoring and safety solutions. By harnessing the potential of AWS services, MTData delivers state-of-the-art telematics solutions that redefine operational efficiency and risk management.
For more insights on AWS IoT services and MTData’s groundbreaking solutions, visit the MTData website.
About the Authors
Meet the masterminds behind this groundbreaking collaboration:
 Greg Breen, Senior IoT Specialist Solutions Architect at AWS, |
 Ai-Linh Le, Solutions Architect at AWS, |
 Brad Horton, Solution Architect at MTData. |