Overview
A Raspberry Pi Compute Module carrier board designed as an industrial machine learning inference engine for visual inspection, counting, and classification applications.
- Industrial-grade power supply sequencing, transient protection, and connectors.
- Dual camera interfaces, Gigabit Ethernet, M.2 NVMe storage, and RS-485 interfaces.
- Dedicated hardware watchdog with remote power-cycling capabilities.
- Docker-based deployment framework for local ML model serving.
- Web-based interface for remote configuration, log access, and OTA updates.
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Challenge
Designing a high-speed carrier board for Raspberry Pi CM5 supporting dual 4-lane MIPI CSI cameras and PCIe expansion.
Solution
Designed a 6-layer impedance-controlled board with matched-length differential pairs for CSI, DSI, PCIe, and USB 3.0 interfaces.
Outcome
Stable, high-bandwidth streaming of dual 4K camera inputs with zero frame loss or signal degradation.
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