A well-known medical product company in China - mask appearance defect detection 
	
	
	
		
			
   Item description:
    This project has a large number of detection object, and most of the defective defects are so small that they can hardly be judged correctly by the naked eye. Based on the deep learning algorithm of Handdle AI and the visual solution provided by artificial intelligence technology, DSTEK finally achieves the detection accuracy of more than 99.99%. The CT requirement: 1.5 seconds/box.

   Defect types:
    Bubbles, thin wires, loose ends, poor joints, open wires, sundries, etc.

                                                                          OK sample picture                                                                                                                                                      Inspection picture

 
      Overall intelligent detection, with an increase of 35% in production efficiency
 Overall intelligent detection, with an increase of 35% in production efficiency      Continuous optimization of model
  Continuous optimization of model