Turning Roadside Video into Actionable Traffic Data
Applications and Cases
Key Takeaways
Turn roadside video into actionable traffic data with on-device AI. InHand Mo-series AI single-board computers process vehicle detection, classification, and counting close to the camera, providing a flexible foundation for traffic-monitoring and analytics applications.
Background
Traffic conditions change throughout the day as vehicle volumes, road use, construction activity, and local events vary. Manual surveys and periodic samples cannot provide continuous visibility into these changes. On-device video analytics can detect and classify vehicles at roadside locations and generate structured data without sending every video stream to a central server. Traffic system developers can use these results to build dashboards, historical reports, congestion indicators, and other applications tailored to local operating requirements.
Customer Requirements
Surveys
Traffic Apps
Distributed Sites
Solution
The traffic analysis solution combines roadside cameras, an InHand Mo-series AI single-board computer, network connectivity, and customer-developed analytics software. Mo processes the incoming video locally and runs compatible models for vehicle detection, classification, and counting.
Its Debian-based environment includes TI TIDL, OpenCV, and GStreamer, with support for TFLite and ONNX models. Developers can use the resulting vehicle data to build time-based statistics, dashboards, traffic-status indicators, or integrations with existing management platforms. Model selection and tuning should be based on camera position, lighting, vehicle classes, and the required detection frequency.
Mo 68A is the preferred option when an application requires additional processing headroom or multiple video inputs. The supported workload depends on the model, resolution, frame rate, and sampling strategy. Mo provides the edge AI foundation; higher-level congestion analysis and traffic optimization are implemented in the customer application.
Benefits
Development
