AI Camera PoC Implementation Guide

A practical guide for successfully executing an AI camera Proof of Concept (PoC).

PoC Workflow

1. Requirements Definition — Clarify detection targets, accuracy goals, and environmental conditions
2. Evaluation Kit Selection — Choose appropriate hardware such as RV1126B + IMX415
3. Verification Plan — Establish test data collection, evaluation metrics, and Go/No-Go criteria
4. On-site Verification — Perform capture and inference testing in the actual environment
5. Go/No-Go Decision — Determine readiness for mass production

Common Challenges

• Variation in detection accuracy due to lighting conditions
• Trade-off between processing speed and accuracy
• SD card / storage durability
• Thermal management and heat dissipation design

CSUN Support

CSUN provides technical support starting from the PoC phase. We offer consistent support from hardware selection and SDK evaluation through to mass production consultation.