Programmatic background

With the development trend of intelligent and thin and light electronic devices, speakers, as an important acoustic component, the quality of the process of its dust mesh directly affects the sound quality and service life of the device. However, in the production process of dust mesh, burrs, foreign objects and other impurities will inevitably be generated, and the presence of these impurities will block the mesh holes, affecting the sound transmission, and even lead to damage to the loudspeaker. Therefore, it is crucial to conduct strict impurity detection on the dust screen before leaving the factory.

The traditional impurity detection of dust screen mainly relies on manual visual inspection, and this method has drawbacks, such as: low efficiency, high leakage rate, and the detection results are affected by the experience of the personnel, state and other factors, which makes it difficult to ensure consistency.

Solution Provider

In order to solve the limitations of traditional inspection methods, we built a zoom lens solution for detecting impurities in the dust mesh of loudspeakers for electronic devices. The solution utilizes a high-resolution industrial camera with a POMEAS 6.5X continuous zoom lens to achieve fully automatic, high-precision detection of dust mesh.

 Program Advantages

• Highly accurate inspection: POMEAS 6.5X continuous zoom lens can realize 6.5X optical zoom, which can clearly show the details of the surface of the dust screen and effectively identify the tiny impurities.

• High Efficiency Inspection: The automated inspection system can quickly complete the scanning of a large area of dust screen, which significantly improves the inspection efficiency.

• Highly stable detection: The system adopts advanced image processing algorithms to automatically identify and classify impurities, ensuring the accuracy and consistency of the detection results.

• Traceable data: The system can record the inspection data and generate reports, which is convenient for quality tracing and analysis.

Program Examples