Market background
In many fields of industry and commerce, liquid level detection is a necessary inspection step. For example, for medical treatment, liquid level detection is often used in infusion, test tubes, etc. For such scenarios, the accuracy of liquid level detection is often required to be higher. At the same time, only non-contact detection methods are often used, and the detection equipment is required to have the characteristics of high throughput. For the mining industry, liquid level detection is often used for underground water seepage problems.
In the existing research, the automatic detection methods of liquid level mainly include acoustic wave method, photoelectric sensor method, capacitive sensor method and detection based on machine vision. The detection based on machine vision has received extensive attention due to its non-contact and non-destructive properties.
Inspection principle
The bottle vision inspection machine is a machine vision-based bottle appearance defect inspection equipment. Compared with the traditional manual light inspection method, this equipment greatly improves the accuracy, reduces the inspection time and reduces the production cost. At the same time, it can also collect and feed back the work quality of each process and the types of defects in the production process for analysis and management by process control personnel to improve product quality.
According to the actual needs of users, we can be equipped with multiple cameras to meet the needs of inspection speed and inspection surface. In addition, the bottle inspection machine can be directly connected to the bottle blowing machine, used with the preformer, and can also add a side leakage machine at the back end of the test. , packing machine, packing machine and other back-end auxiliary equipment, so as to realize the complete industrial process from feeding, sorting, testing, screening and rejecting to packing.
Detection parameters
| Model | Camera number | Detection range | Detection content and accuracy | Detection precision | Speed |
| KVIS- SC14 | 1set | Cup mouth area | Black spots, stains (different colors)≧0.2mm | 99.8% | 3600pcs /h |
| lack of material on cup mouth,overlap≧1.0mm | 99.8% |
| 1set | Outside bottom of the bottle | Black spots, stains (different colors)≧0.2mm | 99.8% |
| Hole (no adhesion in the hole)≧1.0mm | 99.8% |
| 6set | Upper area of bottle(cannot be detected the inside the handle) | Black spots, stains (different colors)≧0.2mm | 99.8% |
| 6set | Lower area of bottle | Black spots, stains (different colors)≧0.2mm | 99.8% |
Our advantages
| 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 |
Product Tags:
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Leakage & Surface Detection System AOI Machine For 2L Empty Bottle Images
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