Machine vision, as an emerging technology, has gradually been accepted by industry users in recent years. Its technical advantages such as efficiency, speed, and high reliability have made it a new favorite in the automation inspection industry. From a structural composition perspective, typical machine vision systems can be classified into two main categories: PC-based vision systems and embedded vision systems, also known as “smart cameras” or “vision sensors”.
So, which of the two categories of machine vision systems is superior? Or do they hold equal merit? 1. PC-Based Vision Systems A PC-based vision system is a vision system built on a personal computer (PC), generally composed of a light source, optical lens, CCD or CMOS camera, image acquisition card, image processing software, and a PC. PC-based machine vision applications tend to be larger in size, more complex in structure, and have longer development cycles, but they can achieve ideal precision and speed, enabling more complex system functionalities. 2. Embedded Vision Systems Embedded vision systems are characterized by their ease of learning, use, maintenance, and installation, allowing for the quick establishment of reliable and effective machine vision systems, thus greatly improving the development speed of application systems. The following table compares the detection speed, measurement accuracy, and other metrics of embedded vision systems versus PC-based vision systems.
Industry experts point out that currently, easy-to-use smart vision sensors account for about 60% of the machine vision system market in China. PC-based vision systems have advantages in overall cost, flexibility, user interface, speed, and accuracy. However, in the future development of the industry, PC-based vision systems and embedded vision systems will likely hold equal ground in the Chinese market, continuously shining in their respective strengths and contributing to the rapid development of the industry.
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