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GithubOpenMVShieldsLensRoboticsBookVideoDownloadDocsForumOpenMV.ioGithubHuman Eyes Upgraded to "Intelligent Eyes," SingTown Technology Enhances Cable Inspection Efficiency
في عملية إنتاج وتجميع الكابلات، يعد العد اليدوي والكشف عن الترتيب غير فعالين وعرضة للأخطاء، مما يجعل من الصعب تلبية متطلبات التصنيع عالي الدقة والتفتيش على الجودة عبر الإنترنت. لمعالجة ذلك، قام مصنعو الكابلات بإدخال تقنية التعرف على الكاميرا الذكية OpenMV من SingTown. باستخدام رؤية الآلة الذكية وخوارزميات التعرف على الصور، تتيح هذه الحلول العد التلقائي، وقياس المسافات، والكشف عن ترتيب الأسلاك المتعددة، مما يحسن بشكل كبير كفاءة الكشف والاتساق.
Cable manufacturing enterprises utilize SingTown's OpenMV intelligent camera recognition technology to achieve automatic cable counting, spacing detection, and arrangement quality monitoring.
The camera is installed above the detection area, vertically overlooking the cable arrangement zone. The detection targets are wires with a diameter of 1–5mm, arranged in groups of 12 with a spacing of approximately 24mm. A black baffle is configured beneath the wires to enhance contrast.
The system employs edge detection, grayscale segmentation, and morphological analysis algorithms to accurately identify the position and quantity of each wire, determining whether there is any skew, absence, or abnormal spacing.
The OpenMV intelligent camera incorporates edge AI, facilitating local computation and real-time image processing. It directly transmits detection signals to the control system to enable automatic alarm or rejection functions. With a detection latency under 200 milliseconds, it is well-suited for high-speed production lines.
Through SingTown Technology's OpenMV intelligent camera recognition technology, cable manufacturing companies have achieved an intelligent upgrade from manual inspection to AI visual automatic inspection, enhancing quality control efficiency and production intelligence levels.
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