Product background
In recent years, more and more food packaging uses tinplate cans. The quality of tinplate cans is related to food safety, so it is very necessary to test tinplate cans. In the production process of tinplate cans, the surface quality inspection of the can body is mainly Relying on manual visual observation and random inspection. In the process of mass industrial production, using manual visual inspection to check product quality is not only inefficient, but also difficult to unify the testing standards.
Machine vision inspection technology is to use cameras instead of human eyes to observe, and use a computer equipped with image processing software to analyze and judge. It has the characteristics of non-contact, no pollution, high precision, high speed, etc. It can improve the detection efficiency and the degree of automation of production. Quality of products.
Inspection principle
In the actual inspection process, food cans containing specific foods are conveyed into the visual inspection system through a conveyor belt. Once the food can enters the vision inspection system, the light reflection sensor is triggered. Subsequently, encoders mounted on the conveyor belt begin to track the location information of the food boxes until the food boxes reach a preferred position in the system. A CCD industrial camera is triggered to capture a 360° view of the outside of the food box as well as an image of the lid of the food box. To detect missing labels, security stamps and date codes.
After the vision inspection system is triggered, the camera starts to capture data and transmits these data to the PC. The machine vision inspection software in the PC will process and analyze these images. If a defective food can is found, the pneumatic rejection system will be activated, and there will be a Defective food cans are removed from the inspection line, and the visual inspection equipment considers that an unqualified product has been inspected. This cycle continues, greatly improving the production efficiency of the enterprise and reducing labor costs.
Inspection details&algorithm features
| Model | Number of camera | Inspection scope | Inspection content | Detection precision | Accuracy | Capacity |
| KVIS -SC06 | 1 set | Concave surface | Black spot (color different) | ≥0.2mm | 99% | 9000- 10000 Per/ hour |
| Transformation | ≥1.0mm | 99% |
| Flash | ≥0.5mm | 99% |
| 4 set | Outside surface | Black spot (color different) | ≥0.2mm | 99% |
| Injection incomplete | ≥0.5mm | 99% |
| Flash | ≥0.5mm | 99% |
| 1 set | Top area | Black spot (color different) | ≥0.2mm | 99% |
- 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
Our advantages
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