Machine Vision In The Field Of Packaging Inspection With Artificial
Intelligence
Equipment features:
| 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 |
Inspection principle
Due to the rapid development of packaging technology in the food
industry, this has also brought new opportunities for the
development of machine vision optical systems. For the current
high-speed packaging line, manual and relatively simple inspection
technology can no longer meet the needs of food and beverage
manufacturers for packaging inspection.
Machine vision in the field of artificial intelligence can achieve
stable, continuous, and reliable product inspections, overcome the
shortcomings of manual inspections such as fatigue, individual
differences, and poor repeatability, and can help companies greatly
improve product quality, increase production efficiency, and reduce
production costs.
Applications:
Flexible packaging
The purpose of food packaging inspection is to control the quality
of packaging and prevent food with damaged quality from entering
the market due to packaging defects.From ingredient detection to
whether food is overcooked or undercooked, automated visual food
inspection can capture even the tiniest details of food.
Liquid level
The liquid vision detection uses an industrial camera to take
pictures of foreign objects in the wine liquid, and at the same
time automatically rejects defective products. The wine liquid
vision detection can be widely used in the beverage industry and
the detection of liquid foreign objects in the medical industry.
OCR Inspection
The visual inspection of the bottle mouth uses an industrial camera
to take pictures of the glass bottle mouth. The inspection content
includes the damage of the bottle mouth, the size of the bottle
mouth, etc., and the defective products are automatically
eliminated according to the inspection results. The lid visual
inspection is used for visual inspection on the can beverage
production line, and it can detect the lid of the can. The
detection content includes foreign matter on the inner wall of the
can, dirt on the angle of the pull ring, etc.
Counting&sorting inspection
Install a collection device directly above the conveyor line. The
packaging boxes containing beverage bottles move with the conveyor
belt. The collection device takes a photo of each box once,
collects the image and counts the beverage bottles in the box. If
it is qualified, it will not be processed. , if it fails, an alarm
will be issued.
Company profile
KEYETECH has always been committed to the application of artificial
intelligence in the field of vision technology, replacing human
eyes and brain decision with machine vision and AI reasoning
calculations, and integrating the quality detection and sorting to
industrial products in traditional manufacturing to make the
production more digitization , Intelligence, visualization, and
persistence. Also greatly improves the efficiency and accuracy of
industrial detection, and enhances the intelligent level of the
manufacturing industry.
