What principles do you need to understand to choose a suitable machine vision system?

The core of machine vision is to use "machine" to replace "human eyes" and "human brain" for observation and judgment. Machine vision is a complete machine vision system, including image acquisition (imaging system and light source), image preprocessing (graphics), image acquisition (quantity) and other areas of interest, such as image processing, mechanical engineering, automatic control, optical imaging, optoelectronic information engineering, sensors, etc., analog and digital video, computer software and hardware, communication engineering, signal processing, human-like intelligence and other data processing/O communications, actuators, etc.).

machine vision

Image acquisition is the foundation, image preprocessing and data processing are the soul, and the execution mechanism is the embodiment of functions. How to choose a suitable machine vision system requires understanding the basic working principles of the machine vision system. The final choice depends on the user's own needs and goals as well as internal environmental conditions. A good machine vision system requires a combination of high-performance vision hardware and high-quality image processing software.

To a large extent, the product itself determines what kind of product we need to choose. The more carefully we understand and summarize the product itself, the better we can choose the right product. For example, the detection accuracy and speed we require, the missed detection rate and missed detection rate required by the production line, the consistency of the product to be tested, the possible impact on the production environment, etc. How to choose a suitable machine vision system?

First, determine the tasks that the visual system needs to perform, as different tasks may require different visual properties. A machine vision system designed for one task may not be suitable for another. Define key visual performance criteria to ensure cameras and lenses are working at the correct level. Factors affecting camera and lens selection include: the smallest object or defect to be detected, the required measurement accuracy, image acquisition and processing speed, color requirements, etc. Considering environmental factors, some cameras are suitable for static viewing, while others are more suitable for linear motion of objects.

Temperature, humidity, and vibration may require specific system manufacturing and assembly practices. The physical space in which the system is installed may limit camera and lens choices. Technical support: When evaluating an integrated machine vision system, it is very important to choose a provider that can provide extensive product support and training services. This will directly affect the application development cycle and even affect the success or failure of the application.