Surface Defect Detection

Category：Surface Defect Detection

Abstract：The on-line inspection system for coating surface quality is used to detect various common surface defects in the production process. The system can find the defect information of product surface in time during the production process, and reflect the defect information of production line surface from time to time.

Detailed Description

• Principle of system detection:

  The on-line inspection system for coating surface quality is used to detect all kinds of common surface defects in the production process.The system can find the defect information on the surface of products in time during the production process, and reflect the defect information on the surface of production line from time to time.It completely replaces the human eye for surface inspection.It greatly saves the production cost and improves the product quality.

  The mechanism is installed behind the unwinding of the slitting machine to test the coating quality of the anode (positive/negative) on-line.The image data of lithium-ion battery electrodes are collected by the CCD camera module.The image data are received and processed by the processing module.The surface of lithium-ion battery electrodes can be judged whether it meets the pre-set or not,and the defective products can be automatically labeled,alarm data statistics and bad classification are processed.

  
  

  Main components of the equipment:

  

  System Software,Linear Array Camera (8K),High Frequency Linear Light Source, Encoder, Industrial Computer, Acquisition Card, etc.

  
  

  Equipment parameters:

  1. Working mode: On-line detection by CCD and alarm record of NGs (feedback cutter shutdown if necessary)

  2. Equipment adapting to production speed: ≤80m/min

  3. Switching time: ≤15 min

  4. Detection missed rate: <2.0% (total number of missed killings/total number of detectable plates)

  5. Detection error rate: < 4.0% (total number of killings / total number of detective plates, including similar types of defect classification errors)

  6. Failure rate: ≤2% (excluding factors such as bad incoming materials, power supply and gas supply of factory buildings)

  7. Power supply: AC220 ± 10% v, 50HZ, total power 4KW

  8. Detection accuracy: ≦0.1mm2

  
  

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