The difference between computer vision and machine vision

The difference between computer vision and machine vision: different definitions, different principles and different applications.

1, with different definitions.

(1) computer vision: computer vision is a science that studies how to make machines "see". Further, it refers to using cameras and computers to identify, track and measure targets instead of human eyes, and further processing the graphics, so that the computer can process them into images more suitable for human eyes to observe or send them to instruments for detection.

(2) Machine vision: Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is to measure and judge with machines instead of human eyes. The machine vision system converts the photographed object into an image signal through machine vision products (that is, image pickup devices, which are divided into CMOS and CCD), and transmits it to a special image processing system to obtain the morphological information of the photographed object, and then converts it into a digital signal according to the pixel distribution, brightness, color and other information.

2. The principle is different.

(1) computer vision: computer vision uses various imaging systems instead of visual organs as input sensitive means, and computers instead of brains to complete processing and interpretation. The ultimate research goal of computer vision is to enable computers to observe and understand the world through vision and have the ability to adapt to the environment independently, which can only be achieved through long-term efforts.

(2) Machine vision: The machine vision detection system uses CCD camera to convert the detected object into an image signal, which is transmitted to a special image processing system, and then converted into a digital signal according to pixel distribution, brightness, color and other information. The image processing system performs various operations on these signals, extracts the features such as the area, position and length of the object, and then outputs the results according to the preset tolerance and other conditions, including size, angle, quantity, qualified/unqualified, etc.

3. Different applications.

(1) computer vision: mankind is entering the information age, and computers will enter almost all fields more and more widely. On the one hand, more people without computer training also need to use computers, on the other hand, the functions of computers are getting stronger and stronger, and the methods of use are becoming more and more complicated. This makes a sharp contradiction between people's flexibility in conversation and communication and the strictness and rigidity required when using computers.

(2) Machine vision: In foreign countries, the application of machine vision is mainly reflected in the semiconductor and electronic industries, of which about 40%~50% is concentrated in the semiconductor industry. Specifically, PCB printed circuit: various assembly technologies and equipment for producing printed circuit boards; Single-sided, double-sided and multilayer circuit boards, copper-clad laminates and required materials and accessories.

Auxiliary facilities, consumables, inks, potions, accessories, electronic packaging technology and equipment, screen printing equipment and screen peripheral materials, etc. SMT surface mounting: SMT process and equipment, welding equipment, testing instruments, maintenance equipment and various auxiliary tools and accessories, SMT materials, patches, adhesives, flux, solder and anti-oxidation oil, solder paste, cleaning agent, etc.