Payment Terms | L/C, T/T |
Delivery Time | 4 to 6 weeks |
Packaging Details | Fumigation-free wood |
Supply Ability | 1 set per 4 weeks |
Item | On-Line Inspection Machine For Zipper |
Material | SS 304 |
Color | Grey |
Strcture | Stabel |
Algorithm | Deep learning |
Camera type | High-speed industrial camera |
OEM | Yes |
Package | Wood packing |
Brand Name | KEYE |
Model Number | KVIS-DR |
Certification | NO |
Place of Origin | China |
View Detail Information
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Product Specification
Payment Terms | L/C, T/T | Delivery Time | 4 to 6 weeks |
Packaging Details | Fumigation-free wood | Supply Ability | 1 set per 4 weeks |
Item | On-Line Inspection Machine For Zipper | Material | SS 304 |
Color | Grey | Strcture | Stabel |
Algorithm | Deep learning | Camera type | High-speed industrial camera |
OEM | Yes | Package | Wood packing |
Brand Name | KEYE | Model Number | KVIS-DR |
Certification | NO | Place of Origin | China |
High Light | FPGA Automatic Inspection System ,AC220 Automatic Inspection System ,FPGA automated quality inspection systems |
Product Background
As social consumers have higher and higher requirements for the details of clothing products. Brand shoe and apparel manufacturers continue to put forward new quality inspection requirements for their suppliers, and traditional manual inspection has been unable to meet the quality control requirements of large zipper manufacturers. The requirements for the size and appearance accuracy of zipper products are also getting higher and higher. A slight error may not match the quality requirements of the shoe and apparel enterprise, and even affect the brand reputation of the zipper manufacturer, thereby affecting the market position and economic benefits of the enterprise.
In the traditional manual detection method, it has been difficult to meet the detection needs of the new zipper production process. To ensure high-quality products, modern testing equipment is inseparable. The introduction of automated visual testing equipment is an essential choice for zipper head production. The long-term way for zipper manufacturers and their industrial supply chain enterprises to win the market. Now the core competitiveness among manufacturers is the competition of product quality.
Inspection principle
The visual inspection equipment uses machine vision technology to measure and judge the detected objects with machines instead of human eyes. The device takes photos of silicone earphones through a CCD industrial camera and sends them to a dedicated image processing system. According to the pixel distribution, brightness, color and other information, it is converted into a digital signal. The image system performs various operations on these signals, extracts the characteristics of the target, and then controls the action of the equipment on the spot according to the judgment result, and the unqualified products will be rejected. The whole inspection process realizes automatic feeding, automatic detection, automatic sorting, and automatic unloading, and the inspection work is more efficient and faster.
Inspection details:
The inspection machine adopts multiple sets of high-pixel industrial cameras and high-performance stroboscopic light sources to carry out omni-directional visual inspections for product appearance defects.The equipment can realize 7*24 hours of all-weather operation, and it can be online automatically. Eliminate substandard products.The whole set of inspection equipment includes mechanical, visual electronic hardware and inspection system software. The entrance and exit of the equipment are reserved for docking positions to facilitate on-site operations.
Due to the many material classifications and detection categories of zipper pullers now, it is difficult for one device to be universally picked up by current machine vision detection. When faced with such a complex visual inspection project, it is generally divided into two ways to solve it. The first type of machine vision inspection is classified according to the product material, and the same type of machine inspection equipment is used for the same material. The second is to classify the inspection items above, separate the inspection items, and use multiple inspection equipment for graded inspection.
1. Defect identification: It can quickly identify defects and abnormal alarms |
2. Statistical analysis: real-time statistical testing data to accurately record the current production situation |
3. Automatic labeling: automatic and efficient detection of appearance defects and color difference of reflective labels, and marking |
4. Defect detection: Detect a variety of defects, including overspray, stuck, wire drawing, lack of ink, dark marks, white spots, particles, dander, three injuries, bad characters, shrinkage and other defects |
5.Intelligent management: can manage the system platform, can insist on multiple platforms at the same time, and the system records defects |
6. Detection accuracy: According to the customer's detection requirements, different types of machines and solutions can be flexibly matched according to the size and detection accuracy of the workpiece |
Our Advantages
Company Details
Business Type:
Manufacturer,Exporter,Seller
Year Established:
2011
Total Annual:
100,000-150,000
Employee Number:
100~150
Ecer Certification:
Site Member
About Us 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 produ... About Us 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 produ...
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