GMP Workshop Label Defect Detection Equipment 99.8% Accuracy

Label defect detection equipment

Label defect detection equipment is mainly for the detection of various labels on product packaging, including QR code, bar code, production date, batch number, etc. The label on the packaging is one of the important information of the product, and many consumers use this as a basis Go to buy products and choose products according to the content of the label. If the label is really blurred, it may affect the sales and quality inspection standards of the product.

Detection principle

The label defect detection equipment is connected to the front-end automation mechanism (which can be directly connected to the conveyor line, waterfall capping machine, centrifugal turntable, vibrating plate and other material sorting mechanisms, depending on the implementation method to be determined on the production site), the samples that need to be tested for labels will be tested. Stable and orderly transmission to a specific inspection station, and then the high-pixel sample image captured by the industrial camera is transmitted to the image processing software, and the AI artificial intelligence algorithm detects and determines the good and bad products, and controls the corresponding pneumatic components The good products are rejected, and finally the qualified products are output, and the back-end conveying platform of the testing machine can be connected to the automatic packaging mechanism.

Equipment Overview:

• Online high-speed detection, improve the detection efficiency and accuracy, reduce labor costs.
• High-pixel industrial camera precision recognition, the number of cameras is designed on demand, the precision of 0.1mm, (the speed can be customized according to the detection requirements).
• Compatible detection of multiple specifications of products, cost saving.
• Defects such as missing characters, missing labels, label offsets, blurring, QR code reading, bar-code reading, black spots, chromatic aberration, impurities, etc., are detected and eliminated online.

Product superiority

1. AI algorithm: high stability, can adapt to the disturbance of environment and background; can automatically identify different defect samples after training.
2. Data: independent database, save a variety of samples, analyze bad products, keep historical records.
3. Multi-directional: 360° comprehensive blind end detection on the surface of the light guide plate.
4. Visualization: real-time display of sample image, running status, real-time statistical detection results and defective product defect classification information.
5. High accuracy: the detection accuracy can reach 99.5%.
6. Modularity: it can flexibly increase or decrease the detection function according to the actual needs of customers.
7. Easy operation: equipment operation, easy maintenance.

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

Visual Inspection Solution

Vision Applications

Cooperation Partners