Machine Vision In The Field Of Packaging Inspection With Artificial Intelligence
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 database, save multiple samples, analyze non-good products, and retain history |
| 3. Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4. High precision: detection accuracy can be high |
| 5. Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6. Easy to operate: It is easy to operate and easy to maintain |
| 7. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Inspection principle
Due to the rapid development of packaging technology in the food industry, this has also brought new opportunities for the development of machine vision optical systems. For the current high-speed packaging line, manual and relatively simple inspection technology can no longer meet the needs of food and beverage manufacturers for packaging inspection.
Machine vision in the field of artificial intelligence can achieve stable, continuous, and reliable product inspections, overcome the shortcomings of manual inspections such as fatigue, individual differences, and poor repeatability, and can help companies greatly improve product quality, increase production efficiency, and reduce production costs.
Applications:
Flexible packaging
The purpose of food packaging inspection is to control the quality of packaging and prevent food with damaged quality from entering the market due to packaging defects.From ingredient detection to whether food is overcooked or undercooked, automated visual food inspection can capture even the tiniest details of food.
Liquid level
The liquid vision detection uses an industrial camera to take pictures of foreign objects in the wine liquid, and at the same time automatically rejects defective products. The wine liquid vision detection can be widely used in the beverage industry and the detection of liquid foreign objects in the medical industry.
OCR Inspection
The visual inspection of the bottle mouth uses an industrial camera to take pictures of the glass bottle mouth. The inspection content includes the damage of the bottle mouth, the size of the bottle mouth, etc., and the defective products are automatically eliminated according to the inspection results. The lid visual inspection is used for visual inspection on the can beverage production line, and it can detect the lid of the can. The detection content includes foreign matter on the inner wall of the can, dirt on the angle of the pull ring, etc.
Counting&sorting inspection
Install a collection device directly above the conveyor line. The packaging boxes containing beverage bottles move with the conveyor belt. The collection device takes a photo of each box once, collects the image and counts the beverage bottles in the box. If it is qualified, it will not be processed. , if it fails, an alarm will be issued.
Company profile
KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.
Product Tags:
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Vision In The Field Of Packaging Inspection Machine With Artificial Intelligence Images
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