FMCG Packaging Camera Vision Inspection System Quality Assurance Machine

Company Profile

Keye Technology relies on the Keye Laboratory of Pattern Recognition of the University of Science and Technology of China, and has a high-level doctoral R&D team covering the entire technology chain of optics, mechanics, electricity, computing and software.

Through the project practice in the fields of packaging containers, 3C, medicine, textile, food, etc., the KVS-AI software and hardware platform has been created, so that AI technology can be transformed into real productivity. We provide visual imaging, algorithm computing power and automatic control AI system solutions for various sub-industries.

Inspection Principle

This machine replaces manual work, can work 7*24 hours, detect the quality of glutinous rice with high precision. It can be used for daily production inspection and reduce labor checking cost.

Hardware Parts

The hardware part includes cameras, lenses, light sources, computers, touch screens and other electrical devices. For the specific number, please refer to the equipment configuration details.

Equipment Advantages

1. High accuracy, artificial intelligence AI detection, error control 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;

Key Technology

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 is smoother, fast and robust High advantages.

2. Adhesive segmentation algorithm: The method based on connected domains cannot segment the adhered oats. The deep neural network is used to segment the adhered oats at an instance level, which can reach a speed of 1000fps and can process the adhered oats in real time.

3. Oatmeal attribute recognition algorithm: adopts a lightweight neural network and integrates a semi-supervised learning method. The model can be iteratively optimized only by annotating a small amount of data. It has the advantages of high accuracy, fast speed, and convenient deployment.

After-sale Service

The company has a complete technical service team and rapid response mechanism, and has dedicated service specialists for each customer, who can receive technical consultation and fault reports from customers at any time. And to ensure rapid response to customer emergencies, to ensure that customers receive satisfactory service.During the epidemic or due to special reasons, when after-sales engineers are unable to reach the site, the service center can remotely adjust customer equipment for troubleshooting and technical consultation.

After the equipment arrives at the customer site, the after-sales engineer arrives in time to carry out equipment installation, commissioning, and operation training. The product quality of the whole machine is traceable, and the quality warranty period is 1 year from the date of acceptance. In the event of non-human faults during the warranty period, after-sales engineers will quickly arrive at the site or provide remote guidance for free maintenance.