Textile Socks Bulk Production Vision Inspection System AI Algorithm

Textile Socks Bulk Production Applications Of Machine Vision System

System features

Inspection principle

This system is used for the detection of sock setting, and outputs the corresponding 0K/NG signal according to the detection result. The KVIS detection system developed by KEYE TECH. based on machine vision image processing technology is convenient for users to perform corresponding operations according to their needs. The software can automatically identify and complete the detection, and output corresponding control or warning signals.

This method refers to the linear transmission method. The socks need to run in one direction to the detection position, and the system will detect them. The qualified products output the 0K detection signal, and the unqualified products output the NG detection signal, so as to facilitate the subsequent equipment. to be processed.

Technical background

As a kind of equipment with a high degree of electrical integration, the sock machine produces products that occupy an important position in people's production and life. The existing sock machine is relatively complex in structure. In order to ensure the quality of the socks produced, the socks machine needs highly precise cooperation of various institutions in the production process of the required socks.

The existing sock machine is efficiently coordinated by electric and pneumatic methods, so as to ensure the efficiency of producing socks and the quality of socks, but the existing sock machine, in the production process, in case of failure, the production supervisor can only pass the agency The machine failure can only be found when unqualified socks are produced after the shutdown, and sometimes even a batch of unqualified socks can be found, and when a failure occurs, the sock machine needs to be suspended to find the specific failure of the sock machine. parts, which is not conducive to the production efficiency and the guarantee of the quality of socks in the production process.

Technical implementation elements

Our system provides a machine vision-based sock machine knitting detection system to overcome the problem of low production efficiency caused by the inability to accurately detect the production process of the sock machine in the prior art. . In order to achieve the above-mentioned purpose, the present invention provides a kind of sock machine knitting detection system based on machine vision, including:

• An image acquisition module, used to acquire a photographed image of the formed socks in the loop-forming triangle by a visual detection device disposed on the head of the sock machine;
• An image processing module, which is connected to the image acquisition module and used to process the captured image acquired by the image acquisition module;
• An image analysis module, connected to the image processing module, for analyzing the captured image processed by the image processing module;
• A parameter acquisition module, which is connected with the image analysis module to acquire the operating parameters of the sock machine weaving mechanism;
• A parameter adjustment module, which is respectively connected with the image analysis module and the parameter adjustment module, and is used for adjusting the operation parameters according to the analysis results of the image analysis module and the operation parameters obtained by the parameter acquisition module.

Our advantages