Market background
In the automated production of modern packaging industry, for
example, it is very necessary to detect whether the filling product
is filled with fluid before leaving the factory. The quality of the
packaging of the filling bottle directly or indirectly affects the
quality of its internal products. Therefore, product testing is the
last step. A process is often indispensable, but such repetitive
work is often done manually, and even if the number of personnel
increases, the 100% pass rate of the quality inspection results
cannot be guaranteed. The machine vision automatic inspection
system independently developed and designed by our company provides
a solution.
This set of online machine vision defect detection system can be
used to detect whether there are caps, high caps, skewed caps, and
skewed safety caps during the production process of PET bottles;
the caps are deformed, high, or missing after heat shrinking; After
installation, the liquid level is insufficient, and the coding is
bad, missing, and missing
Inspection principle
The machine vision inspection system refers to converting the
captured target into an image signal through machine vision
products (CMOS and CCD), transmitting it to a dedicated image
processing system, and converting it into a digital signal
according to information such as pixel distribution and brightness.
The image system performs various operations on these signals to
extract the features of the target, and then controls the on-site
equipment operations according to the results of the
discrimination, and performs visual inspection, size measurement,
defect detection, and system positioning.
Detection details&Environmental requirements
| 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 | 合Qualified product 99.5% |
| Hole | ≥1mm | Qualified product 99.5%
|
| System operating parameters |
| Dimensions | 2.4×1.0×1.8(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 |
| Sample diameter | 10mm-120mm | Sample height | 20mm-200mm |
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
