Specifications
Brand Name :
KEYE
Model Number :
KY-PB
Certification :
CE/ISO 9001
Place of Origin :
China
MOQ :
1 SET
Price :
Negotiable
Payment Terms :
L/C, T/T
Delivery Time :
8 to 10 weeks
Packaging Details :
Fumigation-free wood
Supply Ability :
1500 set per year
Item :
Bottle Vision Sorting Machine
Warranty :
1 Year
Inspection scope :
Plastic Bottles
Air pressure :
0.4~0.7Mpa
Working temperature :
-20℃ ~ 60℃
Detection speed :
150 pcs/min
After-sale :
Remote service
Detection accuracy :
≥0.5mm
Accuracy :
>99%
Packaging :
Wooden package
Description

AI Deep Learning Based Reagent Bottle Online Visual Inspection System

Company Profile

Anhui Keye Intelligent Technology Co., Ltd. is a Chinese national high-tech enterprise specializing in the application of AI technology in visual inspection industry. As a leading manufacturer&Designer, It can provide the most advanced level AI visual inspection equipment and the customized AI system solutions of visual imaging, computing power, algorithm, and automatic control software for various sub-industries.

AI Deep Learning Based Reagent Bottle Online Visual Inspection System

The company was established in 2011, it has a high-level R&D team from top domestic optical research institutes and a core doctoral team from the USTC, covering the entire technology chain of optics, electrics, mechanics, algorithm and software. Our products can be applied in beverage, pharmacy, dairy, wine, textile, new energy, agriculture and other packaging industries.

Detection principle

The system transports the bottles to the predetermined station in a stable and orderly 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 collect qualified products.

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 6~8 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 100-200pcs/min, the equipment can realize 7*24 hours of operation, and the unqualified products can be automatically rejected.

Operation Parameters

Power 5.0-7.0Kw Voltage/Current Local standard
Ambient Temperature -20℃ ~ 60℃ Ambient humidity Less than 50%
System Language Chinese / English Mechanical Carbon Steel / SS 304
Total Weight About 350Kg Dimension As actual drawings

Configuration List

Description Model Unit Q’ty Remark
Industrial Cameras KeyeTech Set 6~8 China
Lenses KeyeTech Set 7 China
LED Light Source KeyeTech Set 3 China
Photoelectric Sensor SICK Pair 1 Germany
Electromagnetic Valve SMC PC 1 Japan
Industry Power Mean Well Set 3 China
Main Control Board KeyeTech PC 1 China
AI Computing Unit KeyeTech Set 2 China
Pollution Filter KeyeTech Set 1 China
HID Touch Screen AOC 21’ Set 1 China
AI Algorithm System KeyeTech Set 1 China
AI Cloud Platform KeyeTech Set 1 China
Big Data Server KeyeTech Set 1 China
Operation System Linux Set 1 Finland


Hardware:

l Camera: We use our own developed camera (the chip is from Japan), which has clearer image recognition and is more compatible with our own software.

l Light source: We have a dedicated optical team to develop various light sources to adapt to the optical scene requirements of different industrial scenes.

l Embedded computer: The KEYE team independently developed the embedded computer NPU computing box, which replaced the traditional PLC industrial computer; it is not afraid of sudden power outages and high temperature scenes, and can better adapt to the high temperature environment.

Software:

1. Algorithm: We use the latest AI deep learning algorithm. Most products only need a small amount of sample learning to complete a new product model; the machine can continuously learn some defects and good samples like the human brain, making the detection effect better and better.

2. Software: The latest KEYE V16.0 software can realize a variety of data statistics and human-computer interaction functions, and the touch screen operation is simpler.

3. KEYE cloud platform: The AI cloud platform can create its own cloud platform account for each customer, and the pictures of each training operation will be saved in its own account; even if the algorithm is lost due to software algorithms or other problems, all previous data can be retrieved through an independent cloud platform account. (KEYE team has technicians who regularly maintain this platform).

4. After-sales service: Provide long-term remote service, customers only need to keep the device in good network connection.


Machining process

AI Deep Learning Based Reagent Bottle Online Visual Inspection System

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AI Deep Learning Based Reagent Bottle Online Visual Inspection System

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Brand Name :
KEYE
Model Number :
KY-PB
Certification :
CE/ISO 9001
Place of Origin :
China
MOQ :
1 SET
Price :
Negotiable
Contact Supplier
video
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System
AI Deep Learning Based Reagent Bottle Online Visual Inspection System

Anhui Keye Intelligent Technology Co., Ltd

Site Member
4 Years
anhui, hefei
Since 2011
Business Type :
Manufacturer, Exporter, Seller
Total Annual :
1,000,000-2,000,000
Employee Number :
200~300
Certification Level :
Site Member
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