With the development of technology and the demand for production lines, the application of machine vision in industrial production is becoming increasingly widespread. Currently, machine vision is commonly used in the following scenarios in the manufacturing industry:
Predictive maintenance
Manufacturing companies should use various large machines to produce large quantities of products. To avoid downtime, it is necessary to regularly inspect certain equipment. Manual inspection of each equipment in the manufacturing plant takes a long time, is expensive, and prone to errors. Maintenance can only be carried out when equipment malfunctions or malfunctions occur, but using this technology for equipment repair can have a significant impact on personnel productivity, production quality, and costs.
What if the manufacturer organization can predict the operation of their machines and take proactive measures to prevent malfunctions? Let's take a look at some common production processes that occur under high temperatures and harsh conditions, which lead to equipment deformation. Failure to fix in a timely manner may lead to significant losses and interruptions in the production process. The visualization system tracks devices in real-time and predicts maintenance based on multiple wireless sensors. If the change in the indicator indicates corrosion/overheating, the visual system can notify the supervisor, who can take preventive maintenance measures.
Barcode scanning
Manufacturers can automate the entire scanning process and equip image processing systems with enhanced features such as optical character recognition (OCR), optical barcode recognition (OBR), and intelligent character recognition (ICR). Packaging or documents can be retrieved and verified through a database. This allows you to automatically identify products with inaccurate information before publishing, thereby limiting the scope of errors. Beverage bottle labels and food packaging (such as allergens or shelf life).
3D visual system
Visual recognition systems are used in production lines to perform tasks that people find difficult. Here, the system creates a complete 3D model of components and high-resolution image connectors. This technology has high reliability in manufacturing industries such as automobiles, oil and gas, and electronic circuits.
Visual based die-cutting
The most widely used stamping technologies in manufacturing are rotary stamping and laser stamping. Hard tools and steel sheets are used for rotation, while lasers use high-speed lasers. Laser cutting has higher accuracy and difficulty in cutting hard materials. Rotary cutting can cut any material.
To cut any type of design, the manufacturing industry can use image processing systems to rotate stamping with the same accuracy as laser cutting. When image design is introduced into the visual system, the system guides the punching machine (whether it is laser or rotation) to perform precise cutting.
With the support of artificial intelligence and deep learning algorithms, machine vision can effectively improve production efficiency and accuracy. Combined with this modeling, control, and robotics technology, it can control everything that happens in the production chain, from assembly to logistics, with almost no need for manual intervention. This avoids errors caused by manual programs.
Post time: Jun-05-2024
