AI defect detection of hardware | A large domestic processing factory
The advanced visual AI technology is adopted to detect the appearance defects of hardware workpieces based on deep learning and high light imitation, covering the defect detection and precision measurement requirements in various processes, including whether there is detection and defect detection.
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Case Overview

The production quality inspection of sheet metal parts of a metal processing enterprise has faced the following problems:

1. There are various defects, which cannot be fully inspected by a single method

2. Serious reflection of metal surface makes manual detection difficult

3. Mechanized manual inspection has missed inspection and takes a long time


Project pain points
五金件AI缺陷检测 | 国内某大型加工厂五金件AI缺陷检测 | 国内某大型加工厂五金件AI缺陷检测 | 国内某大型加工厂

High labor cost

Poor stability

Low production efficiency


Programme Value
Scheme advantages
Scheme advantages

The special light source is used to solve the reflective problem of metal surface in the industry, making the detected defects more obvious. The algorithm is based on the self-developed AI deep learning. After training, it can achieve a recognition rate of 99.5%, prevent manual error detection and missing detection, and greatly improve the production efficiency of enterprises.

Core values
Core values

Rapid deployment, easy to use, easy to use, cost reduction and efficiency enhancement, easy to use and switch various products.

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