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GithubOn the industrial electronic equipment assembly line, product panels typically include 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 detection range is 350mm in length and 150mm in width, with the camera installed within a distance of 200mm, enabling simultaneous multi-item inspection within 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 electronics 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 utilizes geometric feature matching algorithms to detect whether knob angles and positions comply with standards. For accessories of different colors (such as yellow and gray small parts), the system can automatically assess whether installation is correct through color segmentation and morphological analysis.
Furthermore, through template comparison, it can also detect abnormalities such as foreign objects, drops, and missing installations. Within the detection cycle (within 5 seconds), it completes the judgment and outputs a signal to the PLC or host computer, achieving automatic rejection of defective products.
This solution offers advantages such as high detection accuracy (error <0.1mm), fast response speed, strong environmental adaptability, and edge deployment, making it widely suitable for electronic assembly and consistency control scenarios.

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