Visual Inspection System for Alaska Cap with Machine Vision Technology

Equipment overviews

Inspection principle

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 of the set standard, and the unqualified products are automatically rejected. In this way, the detection process can realize automatic feeding, automatic detection, automatic sorting, unloading, packing, packing and other system operations, and the detection work is more efficient and fast.

Features of system

The AI inspection system integrates lid feeding and handing equipment, conveying mechanism, visual system hardware and inspection software, and defective product rejection device. The maximum inspection speed is about 30,000 pieces/hour, and the equipment can achieve 7*24 It runs 24 hours a day, which greatly improves production efficiency.

The inspection equipment is equipped with a total of 6 sets of high-pixel industrial cameras to comprehensively detect the appearance of defects of the product. After the system collects sample images, the image processing software is compared with standardized samples to determine good and defective products, and the defective products are automatically eliminated online.

Inspection standards

Advantage of system

• AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training
• Dataization: Independent database, save multiple samples, analyze non-good products, and retain history
• Multi-orientation: 360 ° comprehensive inside and outside the samples
• High precision: detection accuracy can be high
• Modularization, can flexibly increase or decrease the detection function according to customer actual needs
• Easy to operate: It is easy to operate and easy to maintain
• Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment

About Us

Development History

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 7 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Organization Structure