Food Label Defect Detection Equipment

Food label defect detection equipment is mainly for the label detection on food packaging. The label contains important information of food, including barcode, production date, batch number, etc. Usually the shelf life of food is very short, if the label is missing, blurred, black spots , offset and other problems may affect the sales of food, causing loss of merchants and waste of products, so many food factories will do special testing for food labels.

Detection principle

By docking with the front-end automation mechanism (which can be directly docked with conveying lines, waterfall capping machines, centrifugal turntables, vibrating disks and other material sorting mechanisms, the specific implementation method is to be determined according to the production site), the samples that need to be tested are stably and orderly. It is transmitted to a specific inspection station, and then the high-pixel sample image captured by the industrial camera is transmitted to the image processing software. The AI artificial intelligence algorithm detects and determines the good and bad products, and controls the corresponding pneumatic components to remove the bad products. Finally, The qualified products are output, and the back-end conveying platform of the testing machine can be connected to the automatic packaging mechanism.

product configuration

● High pixel Industrial Camera

● High Resolution Industrial Lens

● High-brightness frequency flash source

● Artificial intelligence (Al) algorithm

● High-performance GPU computing and processing platform

● High-resolution industrial touchscreen

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