Vision Inspection Detection Quality Control Systems for Ice Cream Tray

Vision Inspection Detection Quality Control Systems for Ice Cream Tray

Technical parameters

Company Profile

Anhui Keye Information Technology Co., Ltd. (hereinafter referred to as Key Technology) was established in 2011. It is a national high-tech enterprise focusing on applying AI technology to the industrial field. Provide visual imaging, algorithm computing power and automatic control AI system solutions for various sub-industries.

Keye AI visual inspection overall solution adopts the world's top AI algorithm, equipped with visual analysis software and lighting, imaging and acquisition processing modules, which has the advantages of small sample size, strong generalization ability and rapid deployment. At present, the products are used in many industries such as food, alcoholic beverages, dairy products, pharmaceuticals, cosmetics, and daily chemicals.

Inspection principle

Front-end area array industrial cameras, light sources and other imaging components are directly installed on the on-site four-station production equipment. The puller motor needs to be started and stopped regularly, and moves to the next station at a constant speed. When the product is stable and orderly After being transferred to the cutting station, the high-pixel sample image captured by the area scan industrial camera is transferred to the image processing software.

After the comparison and analysis of standardized samples, good products and bad products are judged. When bad products are detected, an alarm signal is sent to the back-end manipulator, and qualified products are finally collected. The software will open the sample comparison standard, and the production personnel at the customer site can control the comparison accuracy and choose the most suitable accuracy standard for their own production conditions, so as to control the defective rate.

Inspection Details

Our company's design scheme uses 4 sets of high-pixel area array industrial cameras and high-performance strobe light sources to conduct all-round visual inspection for product appearance defects. The inspection speed is 20 modules/minute, and the equipment can realize 7*24 hours all-weather Running, the format of each mold product is 760mm×600mm, and the product to be inspected is 4×
5 staggered.

Company profile

KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial products in traditional manufacturing to make the production more digitization , Intelligence, visualization, and persistence. Also greatly improves the efficiency and accuracy of industrial detection, and enhances the intelligent level of the manufacturing industry.

** Our company have served many well-known enterprises such as Coca-Cola, P&G,Unilever,ALPLA,C'estbon, Nongfu Spring, etc., and has won praise from many users.

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.