CircuitLens – Portable AI-Powered PCB Inspection & Diagnosti

CircuitLens will combine a camera, electrical measurement probes, and the Arduino UNO Q to help makers and engineers inspect PCBs and identify potential hardware problems. Instead of only displaying raw measurements, the device will combine visual information with electrical measurements and use AI-assisted analysis to provide actionable troubleshooting guidance.

CircuitLens will use a camera to capture the PCB and identify relevant components, markings, and circuit areas. Electrical probes will allow the user to measure selected points on the board. These visual and electrical data will then be combined by the Arduino UNO Q to identify potential anomalies and provide troubleshooting guidance.

The Qualcomm Linux processor on the UNO Q will handle higher-level tasks such as Python-based data processing, computer vision, OCR, and AI inference. The integrated STM32U585 microcontroller will handle lower-level tasks such as measurement acquisition, buttons, sensors, and real-time hardware control. This combination makes the UNO Q particularly suitable for a compact AI-enabled measurement device. The custom PCB will integrate the measurement circuitry, camera, display, controls, and power system around the UNO Q. I will use Autodesk Fusion to design the electronics assembly and a compact ergonomic enclosure. PCBWay will be used to manufacture the custom PCB and, where appropriate, produce the enclosure components for the final prototype.

The initial prototype will focus on voltage measurements, visual inspection, reference comparison, and AI-assisted anomaly detection. Additional capabilities such as component recognition, OCR, continuity testing, and more advanced diagnostic analysis may be added as the project develops.