GAC Honda needed a faster and more traceable way to verify correct lamp configuration and detect lighting defects on mixed-model production lines, because manual inspection was slow, hard to digitize, and prone to missed issues under difficult visual conditions.
Reported impact
GAC Honda accelerated inspection, improved digital traceability, and created a reusable industrial-vision foundation that can expand from lamp checks into wider vehicle-quality scenarios.
GAC Honda adopted Baidu AI Cloud's Kaiwu industrial solution to digitize end-of-line lamp inspection and turn visual quality checks into a reusable manufacturing data asset. The deployment combines a visual inspection system, an AI visual modeling platform, and the industrial visual intelligence platform so quality teams can manage image data, label samples, train models, run inference, and distribute models without building code-heavy pipelines. On the line, seven dome cameras capture synchronized images from multiple angles while a high-speed scanner reads the vehicle's QR-coded specification sheet and pulls the correct inspection standard. The platform then identifies the vehicle type, matches the expected lamp configuration, checks more than twenty lamp points, and stores process data for traceability. The same visual stack can extend beyond lamps into interior, exterior, chassis, mirror, seat, and wiper inspection, giving Honda one manufacturing AI foundation for broader quality automation.
Vehicle configuration sheets are scanned to identify the exact model standard, then seven cameras capture synchronized images of the car's front and rear lighting setup. The visual platform compares those images to the expected configuration, evaluates more than twenty lamp points, stores traceability data, and returns pass/fail or exception results to the production workflow.
GAC Honda can inspect one vehicle in one second and use AI as a tool for continuous process improvement (original: 人工智能1秒检测一辆车…AI成为帮助广汽本田工艺持续改善的有效工具).
Kaiwu's solution provides a full-process, graphical, zero-code AI visual model-production capability (original: 实现了全流程、图形化、零代码的 AI 视觉模型生产).
The project can raise data utilization by over 80% and analysis efficiency by 10 times (original: 将数据利用率提升80%以上，分析效率为过去的10倍).
The system automatically recognizes as many as six vehicle models with 99% accuracy (original: 可自动识别多达6款车型…准确率高达99%).
Twenty-two or more lamp checks are completed in one second from 120 synchronized detail images captured by seven cameras (original: 针对单一车型的22种以上车灯，可通过7台相机同步拍摄，同步计算120张细节图片，检测全程仅需1秒).
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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