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.

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.

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About Us

Development History

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 7 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Organization Structure