AI Based Vision Inspection System Production Quality Control for PP Bottles
Inspection Theory
The product is stably and orderly transmitted to a specific workstation, and the high pixel sample images captured are transmitted to image processing software through customized LED light sources and HID industrial cameras. Based on big data, AI algorithms are analyzed and compared, and the system automatically determines defective and good products. The corresponding pneumatic components are controlled to eliminate defective products online, and the good products are counted and boxed to complete product inspection.
The software sets the comparison standard for the samples, operators can control the comparison precision and choose the precision standard that best suits themselves, thereby controlling the defect rate and greatly reduce costs.
Detection details
Our design plan uses 11 sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out comprehensive detection for bottle mouth, bottle bottom and bottle body defects. The whole set of detection equipment includes mechanical parts, visual electronic hardware and detection systems. The software, the entrance and exit of the detection machine can be integrated with the conveyor line, the detection speed is 9600 pieces/hour, the equipment can realize 7*24 hours of operation, and the unqualified products can be automatically rejected.
| System operating parameters |
| Dimensions |
2.3×0.85×1.8(m) |
Power and frequency |
220V 20A 50HZ |
| Total power |
3.5kw |
Air pressure |
0.5~0.8MPa Purify and oil-free |
| Working temperature |
-20℃ ~ 60℃ |
Working humidity |
Below 50% relative humidity |
The detection standards are as follows:
| Model |
Camera number |
Detection range |
Detection content |
Detection accuracy |
Detection precision |
Detection speed |
| KVIS-C -SC11 |
1set |
Bottle mouth |
Black spots, stains, overlap, burrs, lack of material, etc. |
≥0.5mm |
Qualified product 99.5% |
160 pcs/min |
| False detection is less than 0.5% |
| 1set |
Bottom of the bottle |
Black spots, stains,foreign material, etc. |
≥0.5mm |
Qualified product 99.5% |
| False detection is less than 0.5% |
| 4 set |
Upper area of the bottle |
Black spots, stains,missing, etc. |
≥0.5mm |
Qualified product 99.5% |
| False detection is less than 0.5% |
| 4set |
Lower area of the bottle |
Black spots, stains, etc. |
≥0.5mm |
Qualified product 99.5% |
| False detection is less than 0.5% |
| 1set |
Outer bottom of the bottle |
Black spots, stains |
≥0.5mm |
Qualified product 99.5% |
| Hole |
≥1mm |
Qualified product 99.5% |
Examples of sample detection patterns
The patterns shown below are all real-time shots in the existing Keye detection system. The details are as follows:
Black spots or impurities in all positions of the bottle.
Product configuration details
1. Mechanical part
| Name |
Quantity |
Unit |
| Gear |
Several |
pcs |
| Bearing |
Several |
pcs |
| Motor |
4 |
pcs |
| Belt |
4 |
pcs |
| Transmission Parts |
1 |
set |
| Sheet metal parts |
1 |
set |
| Rocker |
1 |
set |
| Plexiglass |
1 |
set |
Cooperation Partners
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.
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.
Your message must be between 20-3,000 characters!
