Machine vision mobile phone battery cover appearance defect detection project

Machine vision mobile phone battery cover appearance defect detection project

Project requirements

Using machine vision equipment to detect the length, width, aperture, height, position, and flatness of the phone case battery cover, mark defects, and classify qualified and defective products

Solution

Detection method: The device needs to use a combination of CCD and laser to scan and image the appearance of the phone battery cover, process the image, and detect the type of defect. It can be mainly used for inspecting the length, width, aperture, height, positional accuracy, and flatness of the structural features of shell components.

The machine vision mobile phone battery cover defect detection device consists of three parts: a rack, an XY axis motion system, and a detection system.

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Equipment weight: 500Kg
Repetitive positioning accuracy: 0.03mm
Attachment accuracy:+0.05mm
Machine ruler: 520MM * 1045MM * 1692MM


The value of the project

To address the shortcomings of existing technology, a visual inspection system for mobile phone battery covers is provided, which has high reliability, good stability, strong universality, compact structure, good positioning effect, high detection accuracy, and can effectively improve the standardization level of mobile phone detection. Simultaneously reducing labor costs. Enhanced the competitiveness of the enterprise.

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