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GithubOn the industrial electronic equipment assembly line, product panels typically contain various components such as knobs, labels, buttons, and accessories. Manual quality inspection methods are prone to misjudgment, missed inspections, and low efficiency.
Therefore, industrial electronic assembly manufacturers adopt SingTown's OpenMV intelligent camera to build a smart visual inspection system, achieving automatic recognition and judgment of font printing content and angle, knob position, and component installation status. The system's inspection range is 350mm in length and 150mm in width, with the camera installed within a distance of 200mm, enabling simultaneous inspection of multiple items within a limited space.
This solution can be widely applied in scenarios such as electronic control panels, switchgear, and precision instrument housing assembly lines, helping enterprises achieve efficient and automated quality inspection.

Industrial electronic assembly manufacturers have developed a machine vision inspection system based on the OpenMV smart camera, integrating computer vision, AI image recognition, template matching, and OCR character detection algorithms to achieve real-time inspection of complex panel assembly.
This embedded vision system captures partial product images via high-definition cameras, performs OCR text recognition and tilt angle analysis on label areas to determine if text is misapplied, misaligned, or exhibits color anomalies; simultaneously, it employs geometric feature matching algorithms to detect whether knob angles and positions comply with standards. For accessories of different colors (such as small yellow and gray components), the system can automatically assess proper installation through color segmentation and morphological analysis.
Furthermore, template comparison can also detect abnormalities such as foreign objects, dropped items, and missing installations. Within the detection cycle (within 5 seconds), it completes the judgment and outputs a signal to the PLC or host computer, enabling the automatic removal of defective products.
This solution boasts high detection accuracy (error <0.1mm), fast response speed, strong environmental adaptability, and edge deployment capabilities, making it widely suitable for electronic assembly and consistency control scenarios.

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