Place of Origin: | China |
Brand Name: | KEYE |
Certification: | NO |
Model Number: | KVIS |
Minimum Order Quantity: | 1 SET |
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Price: | Negotiable |
Packaging Details: | Fumigation-free wood |
Delivery Time: | 4 to 6 weeks |
Payment Terms: | L/C, T/T |
Supply Ability: | 1 set per 6 weeks |
Name: | OCR Inspection For FMCG Bottles Caps Character Printing Quality Inspection | Brand: | KEYE |
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Weight: | 300kg | Condition: | New |
Origin: | CN | Function: | Quality Control |
Air Pressure: | 0.2Mpa-0.5Mpa | Light Source: | LED |
Test Report: | Provided | Loading Port: | Shanghai |
High Light: | OCR Inspection For FMCG Bottles,OCR Inspection For FMCG Caps |
OCR Inspection For FMCG Bottles Caps Character Printing Quality Inspection
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 |
What is OCR inspection
With the continuous improvement of living standards, food quality and safety have become the focus of social attention. People's requirements for food production are getting higher and higher, and the production date is an important criterion for us to evaluate food safety. Therefore, ensuring that the production date and other related information is correctly and clearly marked is an important link in the food production process. There is a very broad market demand for using machine vision technology to collect and detect bottle cap characters.
Inspection principle
In the automatic production of modern food packaging, various inspections and measurements are involved. Such as the printing quality inspection of bottle caps, the characters, barcodes, and label inspections on product packaging. The common feature of this type of application is continuous mass production and high quality requirements for appearance.
In the process of beverage production, the production date of the day needs to be printed. Currently, there are generally two ways to print the production date: one is the inkjet printer, which prints black characters on the bottle cap or the bottle; the other is the laser marking machine. Also known as the laser inkjet printer, the colorless production date with a certain depth is engraved on the neck of the bottle by laser.
Inspection details
On the outer packaging, a barcode will be printed on the product itself and the label so that the enterprise can establish a product tracking system and meet the requirements of the enterprise to collect product barcode information in real time. With its excellent code reading ability, the vision system can accurately and quickly read characters on various packaging materials.
With the increasingly stringent regulatory requirements for food quality standards, not only character spraying requires strict testing, but also barcode, QR code reading, verification, etc. are becoming more and more important in many testing processes.
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.
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887