Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
The detection performance is as follows: Product model Number of cameras scope of test Detection content and accuracy Detection accuracy Detection speed KVIS-MG-CC04 4sets Glove A/B side Black spots, foreign ... Read More
The detection performance is as follows: Product model Number of cameras scope of test Detection content and accuracy Detection accuracy Detection speed KVIS-MG-CC04 4sets Glove A/B side Black spots, foreign ... Read More
Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
Equipment features: 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
Features of system 1.AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training 2.Dataization: Independent ... Read More
