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Automotive LED Light Vision Quality Error-Proofing System Solution

Automotive LED Light Vision Quality Error-Proofing System Solution

The Leader LEDLight Checker system uses industrial smart cameras with precise positioning to automatically capture the working status of front, rear, left, right, far and near headlights, fog lights, high-mounted stop lights, license plate lights, turn signals, and their LED beam working status. It can automatically determine qualified and unqualified results, and automatically save real images named by vehicle VIN code, light name, time, etc. for factory quality traceability and certification review. The system uses pattern recognition and template matching technology, utilizing visual language algorithms to automatically identify the light status of vehicles at workstations. Successful recognition indicates qualified lights; failed recognition indicates light problems or faults requiring further inspection. It can also transmit data with factory IT or MES systems to complete factory inspection requirements and improve vehicle delivery quality.



Leader LEDLight Checker System Features:
 System hardware mainly includes IPC industrial computer and cabinet, vision camera with bracket, camera control cabinet, and network switch and other equipment
 System configured with GIGE smart color camera, auto focus, high-speed image data acquisition, suitable for multiple vehicle model lights
 System can flexibly configure light templates, suitable for multi-scenario customer customization, flexible expansion for long-term needs
 System configured with high-performance IPC industrial computer, Leader LEDLight Checker software factory interface, can flexibly integrate seamlessly with MES and other systems
 Intelligent vision algorithm system has independent intellectual property rights, no need to rely on any other products or authorizations
 System can record and save 3 years of data, saving time and cost of manual inspection and recording

 System runs maturely and reliably, has been maturely applied in multiple mainstream automotive factories