High Precision Cap Visual Inspection Machine for Molded Pulp Products

Product Specification

High Precision Cap Visual Inspection Machine for Molded Pulp Products

Company Profile

Anhui Keye Intelligent Technology Co., Ltd. is a Chinese national high-tech enterprise specializing in the application of AI technology in visual inspection industry. As a leading manufacturer&Designer, It can provide the most advanced level AI visual inspection equipment and the customized AI system solutions of visual imaging, computing power, algorithm, and automatic control software for various sub-industries.

The company was established in 2011, it has a high-level R&D team from top domestic optical research institutes and a core doctoral team from the USTC, covering the entire technology chain of optics, electrics, mechanics, algorithm and software. Our products can be applied in beverage, pharmacy, dairy, wine, textile, new energy, agriculture and other packaging industries.

Inspection principle

KEYE TECH inspection machine adopts deep learning + visual inspection technology, combined with automatic control technology, and has the functions of automatic sensing, automatic detection, automatic recording and elimination of unqualified products. It can also be seamlessly connected to the existing molding machine without redundant modification. Instead of manual inspection of appearance defects such as dirt and damage of products. While reducing labor costs, it greatly improves efficiency and is more accurate and stable. It can be widely used in the detection of food and plastic packaging materials.

Advantages of ai algorithm

• Accuracy of results: Compared with traditional vision algorithms, the stability of deep learning algorithms is greatly improved, and it can adapt to general disturbances in the environment and background. At the same time, the accuracy of the algorithm is also higher than that of traditional vision algorithms;
• Algorithm versatility: For different defects, only a small number of defect samples need to be collected. After sufficient training, different defect samples can be automatically identified. The algorithm adopted is a unified algorithm framework;
• Development timeliness: Since there is no need to develop algorithms for different defects, the entire development cycle is greatly shortened, and general visual defect projects only need 2-3 hours to go online for testing;
• Environmental reliability: Due to the guarantee of GPU computing power, the entire system can work in a high-temperature environment for a long time with sufficient computing power margin.

Advantages of big data cloud platform

• The model has wide applicability: by distinguishing whether there is a template or not, it can basically cover the detection requirements of surface defects, and new defect models can be added arbitrarily;
• The robustness of the model is good: through the system signal consistency adjustment, it is basically guaranteed that there is no need for fine-tuning on site, and it can run normally when it goes online;
• Fewer training samples are required: In the case where a large number of defect samples cannot be obtained, the automatic synthesis of samples can be used to meet the needs of deep learning with large data volume training samples;
• Fast model reasoning speed: Control the cost of model deployment, and provide customers with a cost-effective deployment platform as much as possible on the premise of meeting the needs.

After-sale service

• The seller should complete the creation and debugging of the product basic algorithm model before the equipment is shipped, also provide remote assistance after the equipment arrives at the customer site; and provide buyer with the factory data and operation manual of equipment.
• Daily operation and maintenance services: Our company provides free remote operation and maintenance online services. If you need to upgrade inspection algorithm, provide operational assistance, etc.
• Our company have regular offline training plan every year, so domestic and foreign clients can send their engineers to participate (at their own expense). Those who pass the exam can obtain an industry functional skills certificate.