AOI Capacitor Automated Optical Inspection Systems for 3C Assembly line

product background: Machine learning refers to the use of algorithms to enable computers to dig out information from data like humans. Deep learning, as a subset of machine learning, uses more parameters and more complex models than other learning methods. Makes the model's understanding of the data deeper and smarter. In computer vision, a pre-trained image classification network is usually used as the feature extraction front end of an object detection and segmentation network. Using these pre-trained networks as front-ends can ease the training of the entire model and often helps achieve higher performance in a shorter time. KEYE TECH integrates the application experience of the outer packaging inspection industry into the capacitor appearance inspection industry. And for the first time to introduce deep learning algorithms in the capacitor appearance inspection industry. The algorithm uses human mathematics knowledge and computer algorithms to build an overall structure, uses a high-performance computer for a large number of simulation training, and then combines a large amount of training data to adjust the parameters, and finally realizes the recognition of the appearance of the capacitor. The KEYE AI capacitor quality inspection machine is checked by the industry's top algorithm designers in sample collection, template establishment, actual measurement and debugging, after-sales service and other links, so that deep learning can be successfully applied to the capacitor quality inspection industry.     Inspection principle: The materials are arranged by vibrating plate, Linear vibration and non-destructive conveying, and the capacitance is stably and orderly transferred to the specific inspection station, and then the high-pixel sample image captured by the industrial camera is transferred to the image processing software. After the system analyzes and processes, it judges good and defective products, and controls the corresponding pneumatic components to eliminate the defective products, and finally collects qualified products.   Inspection details: The inspection machine adopts 14 sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out omni-directional visual inspections for product appearance defects. The inspection speed is 400-600 pieces/min. The equipment can realize 7*24 hours of all-weather operation, and it can be online automatically. Eliminate substandard products. The whole set of inspection equipment includes mechanical, visual electronic hardware and inspection system software. The entrance and exit of the equipment are reserved for docking positions to facilitate on-site operations.      Equipment parameters Name Electrolytic capacitor appearance inspection machine Model KVIS-DR Dimension(mm) L*W*H 2590* 800*1850(Length does not include vibration plate system) Voltage AC220/50HZ Power 3KW Pressure 0.4-0.7Mpa Conveying method Vibrating plate feeding, non-destructive conveying Inspection method Online real-time inspetection Camera type High-speed industrial camera Number of cameras 14 sets of camera Algorithm Deep learning Compatible product size Φ8-10,12,13 Speed 400~600/min Inspection scope Poor appearance, poor size, mixed specifications, etc. Rejection method High-speed automatic rejection       1, inspection standard Model Inspection scope Inspection content Precision Accuracy Speed KVIS-DR-SC14 All over of capacitor Side surface damage ≥1mm 99%   400-600pcs/min Side contamination Color mixing Wrong letters Top unwrapped Top Bulging bottom Exceed the plane of the tube   Top Sleeve damage   ≥1mm 99%   Top deformation Top Explosion-proof mixture ≥1mm   99% Contamination and liquid leakage Poor sleeve shrinkage Bottom liquid leakage ≥1mm 99%   Contamination Deformed Bottom oblique angle camera Plastic wrap broken ≥2mm 99%   Stitches Reverse polarity   99%   The camera facing the bottom of the side Plastic wrap oblique Exceed the plane 99%   Solder joints exposed Hose warping arising No sunken-ring                                                                   2, system composition:   (1) Mechanical part: The mechanical part is the core component of the system, which