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 |
