Coffee Beans Grain Quality Analyzer For contury inspection center

Coffee Beans Grain Quality Analyzer

Detection Principle

(1)Automatic binarization: Use deep neural network to segment the foreground and background of the image. Compared with the traditional binarization method, it can be applied to a variety of lighting conditions, and the edge segmentation of coffee beans is smoother fast and robust.

(2)Transmitted the shooting high-pixel sample image to image processing software by industrial camera, detecting and

determining a good product and defective product via AI manually intelligent algorithm.

(3)AI artificial intelligence algorithm to determine the pros and cons of products, to achieve automated production lines

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Equipment Overviwes

• Online high speed detection, improve detection efficiency and accuracy, reduce human cost.
• High-pixel industrial camera accurate identification, the number of cameras is designed, accurate 0.1mm, speed 1500 / min (can be customized according to the detection requirements).
• Compatible with multiple specifications, cost savings.
• Perform online detection and exclude for pharmaceutical packaging bottle caps defects:black spots, color difference, impurities, gaps, residues of material, overlaps, bubbles, air cavities, deformation, thickness, sizes, etc

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Our Advantages

1. High accuracy, artificial intelligence AI detection, the error is controlled within 0.01%;

2. High efficiency, 2 minutes to complete the test, one is equivalent to 3 manual workers;

3. Intelligent, three-dimensional, easy to operate, you can use it in 3 minutes;

4. Femto-visible, high-precision camera omni-directional detection 0.04mm recognition accuracy;

5. Easy to operate: It is easy to operate and easy to maintain.
6. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment.

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Anhui Keye Intelligent Technology Co.,Ltd

Address:168 Tangkou Road,Taohua Industrial Park,Hefei,Anhui
Tel:+86 186 5518 0887(James)/+86 173 5515 4206(Amy)
Email:clerk-zyl@keyetech.com

About Us

Developmenet Course

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 4 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Core Strengths