Generating digital metadata from visual acquisition, processing, analysis, and understanding requires a high-performance MPU with AI capabilities. The EU092 - RZ/V2M SMARC, System on Module (SoM) solution from Renesas helps designers manage these crucial decision processes. It features a high-performance dual-core Arm® Cortex®-A53 MPU and dedicated high-speed hardware AI inference (DRP-AI). Unlike a single-board computer, an SoM is designed for a specific function, reducing baseboard costs and simplifying the enhancement of embedded computer applications. The board features are:
- Low power Edge-AI (1 TOP/Watt) and low heat dissipation.
- Object detection with bounding box.
- As no heatsink or cooling fan is required, the equipment can be miniaturized and BOM cost can be reduced.

- Run object detection algorithms on different types of input.
- Extracting model and inference parameters
- Serial communication to display data on a console
¶ 📋 Practical Applications and Use Cases
- AI Gateways: Enhances data processing and analysis capabilities in AI-driven network gateways, facilitating real-time data flow and decision-making.
- Machine Vision: Provides high-speed image processing and AI inference for industrial automation, quality control, and robotics.
- Security Gates: Enables advanced facial recognition and behavior analysis for secure and efficient access control systems.
- Mobile Robots: Supports autonomous navigation and obstacle detection in robots through efficient AI inference and image processing.
- Smart Surveillance: Improves real-time video analysis and anomaly detection in surveillance systems, ensuring enhanced security monitoring.
Q: How long can the board continuously run inference tasks?
A: It can run for hours without performance drops or significant heating. This can be directly verified on the setup.
Q: Do we need a fan or heatsink for this board?
A: No. The board maintains a stable temperature even under continuous load. That’s a key USP.
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