400W Deep Learning Industrial Metal Detection Machine For GMP Defect Detection

Overview

Anhui Keye Technology Co., Ltd. is a national high-tech enterprise focusing on Al technology research and development and product implementation. Provide AI vision imaging, algorithm computing power and automatic control and other overall solutions for various sub-industries.

Relying on the Key Laboratory of Pattern Recognition of the University of Science and Technology of China, the company has established a high-end R&D team lead by 7 PHDs, including integrating optics, mechanics, electricity, computing, and software. The Al technology can be effectively transformed into real productivity with the KVS-Al software and hardware platform. The company currently provides systems and solutions for product quality detection and analysis for a specific industrial scene for textile, printing, industrial Internet, 3C, medicine, packaging, sorting, industrial parts, food and other industries.

Equipment introduction

In order to improve the quality of printed products, our company has specially developed a single-station printed product defect detection machine for a certain work scene in the printing industry, this is a great significance of helping customers to eliminate product quality problems and improving product quality.

Equipment functions and features

1.The equipment uses image imaging technology to obtain various parameters and use real-time AI analysis compare standard products with sample images, and reject unqualified samples through compressed air, and automatically count qualified samples. Greatly improve production efficiency.

2.Can customized according to customer needs, using one or more cameras to detect products, and reject defective products according to standards.

3.Real-time display of sample images, running status, real-time statistics of detection results and classification information of defective products.

4.The detection function and accuracy can be flexibly changed according to on-site requirements, and 99.99% of the specified defects can be detected.

5.Save the characteristics of each sample to the model database, and you can switch the sample detection with one-click loading.

6.Statistical historical production records, multi-level authority user settings, one-key backup and restore system data.

7.The detection function is highly modular, and modules can be flexibly added or removed according to needs.

Equipment parameters

Equipment features

●It is suitable for occasions where there are few detection items or only a specific surface is detected. Generally, only one camera is needed to complete the detection task. The entire device has a simple and practical structure, which has a cost advantage compared with multi camera devices.

●It can be used in a wide range of scenarios. It can work independently, connect with related production lines, and even realize coordinated operations through combine with other related equipment.

●Strong customize, which can be customized to the customer's detection products and needs.

●Al artificial intelligence algorithm has high detection accuracy

Example of system detecting defective image:

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