Smart use cases for Cognex products in packaging and other industries

With the increasing requirements of consumers for product packaging, the packaging production process is also improving, and all kinds of packaging machinery and equipment to improve the speed and aesthetics of product packaging have come into being. Next, Xinxiwang will introduce you to the intelligent application cases of Cognex products in packaging and other industries.

The In-Sight 7000 vision system helps the milk powder production line speed to speed up by 10% Efficiently solve the "third phase" inspection problem

Challenge: There are omissions in the "third-period" information of laser marking, while the "third-phase" information detection requires fast and stable operation, and manual detection has the risk of missed detection and high cost, which is easy to be complained by customers; It is required that the testing solution is truly suitable for the needs of the enterprise and avoids excess functions and waste of equipment investment.

Effect: The effective detection of the "third phase" information has been realized, and the defective products can be accurately eliminated, and the production cost and the risk of customer complaints have been greatly reduced; It can also adapt to different specifications of products to meet the requirements of the factory for rapid product switching; Efficient detection efficiency promotes the expansion of enterprise production capacity, and the production line is increased by 10%, further enhancing market competitiveness.

Cognex VisionPro vision software works with robots to automate welding

Challenge: Artificial memory of the position of the welding hole, which is prone to errors; The welding parameters of each standard product are different and easy to be confused; Workers are repetitive and intensive.

Effect: Realize welding automation, and each position can reduce 3 manpower; Real-time reading of welding process parameters, traceability of the number of welding machines and product signals; The welding efficiency has been increased by 50%, and the welding quality and economic benefits have been significantly improved.

Cognex VisionPro vision software inspects the permeability of the filter pores of a three-way catalytic converter

Challenge: It is difficult to illuminate, and only part of the workpiece area can be illuminated, and the effect is not good; There are many types of workpieces, and the mechanical positioning is inaccurate and not easy to adjust; Traditional methods cannot complete the accurate detection of permeability.

Effect: high detection accuracy, short development cycle, low maintenance difficulty; Permeability detection efficiency is high and stability; The product qualification rate has increased by more than 30%, and the output and production efficiency have been greatly improved.

VisionPro Deep Learning helps Zhongke Glass solve the problem of wine bottle label defect detection

Challenge: The manual inspection of "three shifts" occupies a large number of enterprise labor costs and management expenses, and the manual visual inspection method is inefficient, which can easily lead to missed detection and wrong detection, and the defective products entering the market will have an adverse impact on the enterprise, and the manual inspection method also limits the production capacity of the enterprise and seriously affects the production efficiency; However, traditional machine vision products cannot detect the complex defects of wine bottle labels, and the deployment of classic deep learning networks is complex.

Effect: Realize the rapid and efficient detection of wine bottle labels, greatly improve the yield rate of products, and the user complaint rate is 0; To meet the needs of on-site high-speed production, effectively replace the "three shifts" manual detection mode, and save a lot of labor costs for enterprises; Promote the expansion of production capacity, from the original average daily output of 10,000 pieces to more than 20,000 pieces; The deployment is simple, and the field engineers can get started with simple training, which realizes rapid application in the field.

VisionPro Deep Learning enables efficient on-line inspection of surface defects in motor electromagnetic traction wires

Challenge: How to detect and classify multiple types of defects at high speeds; How to detect all sides of the magnet wire and obtain a good image effect under the condition of limited installation; How to cooperate with external devices to allow the camera to cooperate with the light source to obtain synchronized pictures of each face; How to better distinguish and analyze each defect in a similar defect.

Effect: After adding VisionPro Deep Learning defect detection, unqualified and defective products can be quickly identified, which significantly strengthens product quality control; Realize 24-hour uninterrupted detection and measurement, reduce labor costs; The easy-to-use operation mode and the developed parameter window can be adjusted more easily according to the production needs; It is possible to better distinguish and analyze individual defects.

VisionPro Deep Learning solves the challenge of defect detection in mineral wool acoustic panels in the building materials industry

Challenge: The manual visual inspection method is inefficient and unstable, which seriously affects the production cycle and product quality; There are many types of mineral wool sound-absorbing board products, and visual training takes a long time; The variety of defects leads to time-consuming and labor-intensive classification, and the optimization time of product templates is long.

Effect: Advanced vision technology replaces manual visual inspection and improves the automation level of the production line; The template training speed is fast, the detection accuracy is high, and the operation is simple and easy to use; It improves the product qualification rate and production efficiency, reduces labor costs, and improves customer satisfaction with products.