What benefits can the combination of visual equipment and automated production lines bring?

Now many manufacturing industries are accelerating their transformation to intelligence, and the combination of machine vision and automation is gradually becoming the standard on factory production lines. Machine vision can quickly identify product information on the production line, making the entire production line accurate and efficient.

1. Improve detection accuracy and achieve full-process quality control

Traditional manual inspection is easily affected by the outside world and is highly subjective, while the visual system can identify tiny defects such as scratches, stains, offsets, and material shortages at high speed and high precision, so as to achieve stability and consistency without missing inspections. Deploy multiple visual points at key workstations, and the camera takes pictures in real time for recognition, and completes the judgment within milliseconds. It is not only more efficient, but also can achieve full-process control, improve product accuracy, and make the product more assured when leaving the factory.

2. Improve production efficiency and reduce labor costs

Nowadays, traditional production lines require multi-person collaborative operation, but enterprises are facing the problem of rising labor costs. By adopting visual equipment to link robotic arms, conveyor belts and other automated machinery, production efficiency can be greatly improved, production lines can run more smoothly, and the pressure of manpower demand can be reduced. At present, the visual system can help robotic arms quickly identify the location of parts and complete precise assembly, and the entire process no longer requires human intervention.

3. Realize flexible manufacturing and improve the adaptability of production lines

There are many types of products, and frequent model changes make production troublesome. The recognition ability of the visual system is getting stronger and stronger. When the inspection products are frequently changed, it can automatically adapt to products of different models, sizes, and colors. With flexible software configuration, the same production line can quickly switch to different product production to achieve flexible manufacturing. It is especially suitable for multi-category manufacturing industries such as 3C, auto parts, and precision machining.

4. Data traceability and intelligent analysis

Every product and every inspection data can be stored and uploaded to the computer to facilitate tracing the source of the problem. When an abnormality or customer feedback occurs, you can check the cause of the problem at the first time, grasp the dynamics of the production line in real time, effectively locate the problem process, and avoid batch defective products from entering the market. Through rapid data analysis, potential problems in production line production are discovered, and the production process is continuously iterated and optimized to make the production line more and more professional.

5. From automation to intelligence

With the collaboration of machine vision, automation equipment is no longer just a repetitive operation of mechanical actions, but an intelligent system with perception and recognition capabilities. This is also a key feature of the move towards a smart factory. The visual system brings people and equipment closer, and is also an important part of the upgrade of digital factories. It not only improves the equipment capabilities, but also makes enterprise management more portable.

Shenzhen Zhixiang Vision, empowering the upgrade of every production line

As a technology company that has been deeply involved in the field of industrial vision for many years, Zhixiang Shijue focuses on providing customers with highly reliable and easy-to-integrate visual systems and image recognition solutions. Whether it is defect detection, dimensional measurement or image acquisition and data analysis, we can customize suitable solutions according to customer needs. Help more manufacturing industries achieve the leap from automation to intelligence.