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The specific detection parameters are as follows:
Model | Camera number | Detection range | Inspect | Accuracy | Precision | Speed |
KVIS-SC03 | 1 set | Front of the plate | Black spots, stains, impurities | ≥1.0mm | 99.9% | 150 pcs/minute |
Folds | width≥0.5mm length≥5.0mm | 99.9% | ||||
perforation | Penetration≥0.5mm | 99.9% | ||||
Non-penetration | 99.9% | |||||
Rupture | width≥0.5mm length≥3.0mm | 99.9% | ||||
Burrs | width≥0.5mm length≥1.0mm | 99.9% | ||||
1 set | Front of the plate (translucent) | Cracking | width≥0.5mm length≥3.0mm | 99.9% | ||
Thinning | width≥0.5mm length≥3.0mm | 99.9% | ||||
5 set | Back of the plate | Black spots, stains, impurities | ≥1.0mm | 99.9% | ||
Folds | width≥0.5mm length≥5.0mm | 99.9% | ||||
perforation | Penetration≥0.5mm | 99.9% | ||||
Non-penetration | 99.9% | |||||
Rupture | width≥0.5mm length≥3.0mm | 99.9% | ||||
Burrs | width≥0.5mm length≥1.0mm | 99.9% |
System operating parameters | |||
Dimensions | See the design drawings for details | Power and frequency | 220V 20A 50HZ |
Total power | 5.0~6.0 kw | Air pressure | 0.5~0.8MPa Purify and oil-free |
Working temperature | -20℃ ~ 60℃ | Working humidity | Below 50% relative humidity |
1. Detection products
Dinner plate products, paper-plastic material, white and primary
colors, are divided into various specifications, the disposable
dinner plates have greatly facilitated people's lives. Today, in
order to save costs, businesses have almost started to use
disposable plates in order to save costs, and bring some unique
patterns or printed brand logo. In a large number of market demand,
consumer experience directly affects the merchants strict
requirements on packaging quality. In order to increase the
production efficiency, the manufacturer changed the time-consuming
and labor-intensive manual detection, and instead chose to graft
the intelligent detection equipment to its own production line. So
far, Keye Tech has been engaged in the packaging detection industry
and has made a lot of dinner plate-related detection equipment. ,
There are good professional examples in the industry. Big data
intelligent algorithms can be used to update the detection data in
real time and discover possible problems in the production line in
time.
Now take the collected samples with diameters of 155mm, 175mm, and
235mm as examples (see actual samples for details) to introduce the
details of our detection equipment.
To achieve the compatibility detection of the above three products,
it needs to involve the front and back end automation mechanism,
the adjustment of the detection machine to the interface position
and the camera focal length, the switching application of the
detection software, etc., and the actual operation requires the
customer's on-site personnel to operate proficiently.
2. Detection principle
Through the docking of the feeding and separating mechanism, the
products are transferred to the specific detection station in a
stable and orderly manner in a front-up manner, and then transmits
the captured sample image to the image processing software through
the high-pixel industrial camera, compares with the standardized
sample and distinguishes the defective product and the good
product, and controls the corresponding pneumatic components to
reject defective products and finally collect qualified products.
The back-end conveying platform of the detection machine can stack
the tray mechanism for the receiving material.
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.
3. Detection details
Our design plan adopts 3 sets of high-pixel industrial cameras and
high-performance stroboscopic light sources to carry out a full
range of visual detection for the appearance defects of dinner
plate products. The detection speed is 150 pieces per minute. The
equipment can realize 7*24 hours of operation, and the unqualified
products can be automatically rejected online.
The whole set of detection equipment includes mechanical parts,
visual electronic hardware and detection system software. The
entrance and exit of the detection machine can be integrated with
the automation mechanism (see the design drawings for details), and
can be connected to upstream and downstream production according to
the specific production needs of customers on site equipment.
The overall equipment diagram is as follows:
1. Detection standards
Black spots, stains, hair, foreign bodies, impurities (different
colors), yellow spots, will be analyzed and processed according to
the black spot detection indicators. The difference in gray value
contrast must be greater than 40 to be effectively detected. If the
sample has transparent oil stains or light black spots, and the
gray value contrast difference is low (below 40), the detection
effect cannot be achieved.
In actual detecting, due to the critical fluctuation state of
certain detection item data affecting the judgment, it will cause a
certain probability of product misdetection. The parameter setting
of the system software can be adjusted to achieve the actual
effect.
2. Instructions for camera use:
3. The detection equipment needs to be maintained and cleaned
regularly during use (such as conveyor belt cleaning, camera
cleaning, etc.), and the counting function can be realized after
the finished product is tested.
4. System composition
(1) Mechanical part:
The mechanical part is the core component of the system, which
carries all the transmission devices and electronic hardware
(industrial cameras, light sources, industrial computers, touch
screens, electrical boxes, etc.). The supporting glass turntable
mechanism in the equipment can open the imaging perspective of the
product and make Industrial cameras effectively collect images for
analysis and processing.
(2) Hardware part:
The hardware part includes cameras, lenses, light sources,
high-speed air valves, computers, touch screens and other
electrical devices.
5. Images collected by real machine (part of the diagram is for
reference only):
Frontal black spots and dirty