On-line Detection Tablet Airtight Jar Containers Visual Inspection System

On-line Detection Tablet Airtight Jar Containers Visual Inspection System

Inspection principle

The overall equipment integrates mechanical mechanism, visual optical hardware and detection system software, rejecting and counting devices for defective products. The visual inspection machine is docked with the bottle blowing machine, transported to the entrance belt line of the inspection machine, and then sent to the inspection station in turn, collected and inspected by the camera, and compared and analyzed by the collected image processing software and the standardized sample to determine good and bad products. The detected defective products are automatically eliminated online, and the counting function can be realized after the finished product is detected.

The solution uses 8 sets of high-resolution industrial cameras and high-performance strobe light sources to conduct all-round visual inspection for the appearance defects of the product. The inspection speed is 150 pieces/min. The equipment can operate 7*24 hours a day, and the inspection fails Products can be automatically removed online.

Vision solutions

The appearance defect detection equipment of glass airtight jars can be stably and orderly transported to specific inspection stations by docking the front-end automation mechanism (it can be directly docked with the conveying line, the specific implementation method is to be determined according to the production site).The high-pixel sample image captured by the industrial camera is transmitted to the image processing software, and the good and defective products are detected and judged by the AI artificial intelligence algorithm, and the corresponding pneumatic components are controlled to eliminate the defective products, and finally the qualified products are output, after the inspection machine The end conveying platform can be connected to the automatic packaging mechanism.

Vision solutions

In the actual inspection, due to the influence of the critical fluctuation state of some inspection item data, it will lead to a certain probability of false detection of the product, which can be adjusted through the parameter setting of the system software to achieve the actual effect.

• For defect features such as black spots and bubbles, the gray value contrast difference corresponding to the detection index must be greater than 30 (it can be understood as: place the sample at an arm’s length, about 30cm or more, and the defect features can be seen visually), you can effective detection. If the sample has transparent oil stains or light-colored black spots, the gray value contrast difference is low (less than 30), the detection effect cannot be achieved.
• Due to the different complexity of the structural features of different products, in actual application, there will be a certain area of detection blind area in the overlapping area of the plane lens imaging structure, and the image cannot be collected within this blind area, so it cannot be effectively detected.

Advantages of our system

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

After-sale service

The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.

**Our company have served many well-known enterprises such as Coca-Cola, P&G,Unilever,ALPLA,C'estbon, Nongfu Spring, etc., and has won praise from many users.

About Us

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths