Human beings want to realize a series of basic activities, like life, work, and study, they need to believe their own organs. Additionally to the brain, the foremost important thing is our eyes. (Industrial) robots are not any exception. They need to complete normal production tasks. Without an entire set of advanced vision systems, it’s difficult to imagine.
The machine vision system uses machines rather than human eyes to form various measurements and judgments. It’s a crucial branch of computing. It integrates technologies like optics, mechanics, electronics, computer software and hardware, and involves computers, image processing, pattern recognition, AI , signal processing, optomechanical integration and other fields . The rapid development of image processing and pattern recognition technologies has also greatly promoted the event of machine vision.
UNDERSTAND THE ROBOT VISION SYSTEM
Generally speaking, the machine vision system includes the lighting system, lens, camera system and image processing system. For every application, we’d like to think about the operating speed of the system and therefore the image processing speed, whether to use a color or black and white camera, the dimensions of the detection target or whether the detection target has defects, how large the sector of view must be, how high the resolution must be, and the way large the contrast needs Wait.
From a functional point of view, a typical machine vision system are often divided into: image acquisition part, image processing part and motion control part.
ADVANTAGES OF ROBOT VISION SYSTEM
1) Non-contact measurement won’t cause any damage to the observer and therefore the observed, thereby improving the reliability of the system.
2) It’s a good spectral response range, like using infrared measurement that’s invisible to the human eye, which expands the visibility of the human eye.
3) Working stably for an extended time, it’s difficult for humans to watch an equivalent object for an extended time, while machine vision can do measurement, analysis and recognition tasks for an extended time.
4) The appliance fields of machine vision systems are getting wider and wider. It’s been widely utilized in industry, agriculture, national defense, transportation, medical treatment, finance, and even sports, entertainment and other industries. It are often said that it’s penetrated into all aspects of our life, production and work.
In simple terms, the vision system are often summarized by three independent and interconnected modules: target image acquisition, image processing, and command issuance.
The design of the vision system is split into two parts: software design and hardware design.
(1) Hardware Design Of Vision System
The hardware of the vision system is especially composed of lens, camera, image capture card, input and output unit, and control device.
The quality of a vision system depends on the extent of the camera’s pixels, the standard of the hardware, and more importantly, the coordination and rational use of varied components.
(2) Software design of the vision system
The software design of the vision system may be a complex subject. It’s necessary to think about not only the optimization of program design, but also the effectiveness of the algorithm and whether it are often realized. Within the process of software design, it’s necessary to think about possible problems.
The software design of the vision system should be tested and improved to adapt to the complex external environment.
Robot vision hardware mainly includes two parts: image acquisition and vision processing, and image acquisition consists of lighting system, vision sensor, digitizer and frame memory. Robot vision acquires two-dimensional images of the environment through vision sensors, analyzes and interprets them through ai image software, and converts them into symbols, allowing the robot to acknowledge objects and determine their positions.
The specific process is as follows:
The difficulty of commercial machine vision lies in accuracy and speed, and therefore the requirements are within the millimeter level, and therefore the changes within the grip of commercial robots within the industrial field are in three-dimensional space. Consistent with different functions, robot vision are often divided into two types: visual inspection and visual guidance.
(1) Food safety monitoring
In streamlining production and merchandise quality inspection, machine vision is required to watch , identify, and find errors and omissions within the production process.
The characteristic of the machine vision system is to enhance the pliability and automation of production. In some dangerous working environments that aren’t suitable for manual operations or occasions where artificial vision is difficult to satisfy the wants , machine vision is usually wont to replace artificial vision;
At an equivalent time, within the process of mass industrial production, manual vision is low in efficiency and accuracy. Machine vision inspection can improve production efficiency and production automation, and it’s easy to realize information integration.
(3) Solar power , traffic monitoring
Solar cell and module producers use machine vision to examine products, identify and track products, and assemble products.
In the field of traffic monitoring, it are often applied to car place recognition technology, image analysis technology, automatic car place recognition, detection of illegal parking, retrograde, and detection of traffic accident vehicles.
Traditional manufacturing is facing new subversion, and transformation and upgrading will bring huge market opportunities to China’s automation industry. As a extremely smart product within the automation industry, machine vision has huge development potential within the future.
In the past few years, Chinese electronics manufacturers and oems are purchasing an outsized number of automation equipment to exchange labor so as to deal with China’s growing shortage of labor, which can reach a climax within the next few years. Taiwanese-funded factories have chosen to extend the degree of automation, and therefore the climax of automation will are available subsequent 2-3 years, which can surely bring new growth points to the appliance of machine vision products during this industry.