In the process of cell phone manufacturing, appearance inspection is a key link in controlling product quality. Common defects of cell phone frames, such as scratches, bumps, paint loss, etc., not only affect the aesthetics of the product, but also may reflect potential quality problems. Traditional manual inspection methods are inefficient, unstable in accuracy and susceptible to subjective factors.

POMEAS, as an industry-leading provider of precision measurement and inspection solutions, has created an accurate and efficient visual inspection solution for cell phone appearance inspection, especially for bezel defects. The solution adopts a high-resolution industrial camera and advanced image processing algorithms, which can quickly and accurately identify all kinds of bezel defects.

The core of the defect visual inspection solution lies in the high-precision imaging system: through the combination of FA lens and camera, it can clearly capture the fine features of the cell phone bezel, and with the high brightness and good uniformity of the light source system, it can effectively highlight the defective parts, and provide high-quality image data for the subsequent image processing.

In the image processing section, POMEAS uses intelligent algorithms to analyze the captured images. The image recognition technology based on deep learning can automatically learn to distinguish between normal edges and various defective features, and quickly and accurately quantitatively evaluate defective parameters such as the depth of scratches and the area of bumps. Moreover, the system has a self-learning function that can continuously optimize the detection model and adapt to the needs of different models of cell phone bezel detection.

POMEAS cell phone exterior and bezel defects visual inspection solution can realize high-speed online inspection, significantly improve production efficiency, reduce labor costs, and avoid defective product outflow with high precision inspection results.