Place of Origin: | China |
Brand Name: | KEYE |
Certification: | NO |
Model Number: | KVIS-C |
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 |
Features: | Easy To Operate | Name: | QR Code & Barcode OCR Visual Inspection System |
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Place Of Origin: | CN | Brand: | KEYE |
Warranty: | 1 Year | Model.No: | KVIS-C |
Test Report: | Provide | Material: | SS 304 |
OEM: | Yes | Payment: | T/T,L/C,Paypal,Credit Card,etc. |
High Light: | QR Code OCR Inspection,Packaging Recognition OCR Inspection,Barcode OCR Inspection |
QR Code & Barcode OCR Visual Inspection System For Packaging Recognition
System 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
The basic working goal of machine vision is to recognize that the desired text is printed on the product or package. For example, in the catering industry, the recognition function of machine vision is often used to use inkjet printers to indicate the code of the production date, the code of the production batch and the expiration time, because this printer can print very fast, and if it is used continuously This will lead to a decrease in the quality of printing, and there will be code inconsistencies or no code at all. In this case, if there is a printing error, there will be a great negative impact. While OCR can read a code to determine its presence, another visual tool, Optical Character Authentication, or OCV, can be used to recognize the readability of a code after an item leaves the factory.
In demanding professions, it is never allowed to present missing or unreadable code. Machine vision can protect suppliers because the technology can ensure that goods are printed with compliant symbols before they leave the factory. OCR can recognize if every item is printed with the exact string before leaving the factory. Inspections based on OCR are usually used to acknowledge that the printed code can be clearly read in the entire supply chain process when the product is recovered, and the pharmaceutical and cosmetic industries are particularly concerned about this issue.
Improtance of OCR inspection
Reliable product tracking and data management in the production and distribution process is critical when products are safely recovered after they leave the factory. Pursuing every manufacturing process is a very important task for the Food, Beverage, Pharmaceutical and Cosmetics professions. It is generally believed that product tracking is the application of barcodes. In fact, batch code, batch code, expiration date and serial number can be read by OCR to track the entire packaging process of the product.
From initial product labeling or packaging to carton packaging to palletizing operations. The OCR application can be set up to compare the actual text against the expected strings defined in the database and flag any missing or out-of-order sequence numbers. Barcoding and OCR are often used together to maximize the robustness of the data collection process.
OCR visual character detection advantages
Contact Person: Ms. Amy Zheng
Tel: +86 17355154206/+86 186 5518 0887