What are the main functions of the robot vision system in the robot?

The robot vision system is composed of a camera (equivalent to an eye), a sensor, a robot host, a network, and other components.

Machine vision can be roughly divided into five categories according to its function: recognition, positioning, measurement, detection, and guidance.

1) recognition: machine vision can process, analyze and understand the image, and is used for the decoding of some one-dimensional codes or two-dimensional codes, the recognition and confirmation of optical characters, the recognition of colors and shapes, etc.;

2) machine vision adopts advanced image visual detection technology to carry out real-time comprehensive visual positioning analysis of high-speed moving industrial products, which is mainly used for automatic production and assembly;

3) machine vision can carry out high-precision measurement on product size in non-contact case to determine whether there is an error in the size of product appearance;

4) Machine vision can be used for precise detection of the surface of the product, including target direction and position detection, detection of crushing, damage, scratches, dirt, deformation and other problems on the surface of the product, and defect detection of the printed surface;

5) Machine vision is widely used in the field of industrial robots of intelligent manufacturing, the current industrial robots have been widely used in automated assembly lines, machine vision systems can help robots understand the changes in the working environment in real time during robot operation, and adjust the actions accordingly to ensure the correct completion of the task. [Service**, intimate service].

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Machine vision systems have the following functions in robots:

Navigation and positioning: Machine vision systems can use image recognition technology to achieve robot navigation and positioning, enabling robots to accurately locate and move in complex environments.

Object detection and recognition: Machine vision systems can detect and identify target objects through image analysis technology, so as to realize automatic grasping, placement or classification of robots.

Detect and identify defects: Machine vision systems can use image processing technology to detect and identify defects on the surface of products, so as to realize the robot's automatic quality inspection and elimination of defective products.

3D modeling and reconstruction: Machine vision systems can use multiple cameras and laser scanners to model and reconstruct objects in 3D, so that robots can grasp, place, and manipulate complex objects.

In general, the machine vision system mainly plays a variety of roles in robots, such as navigation and positioning, target recognition, defect detection, and 3D modeling, which provides important technical support for the realization of autonomous, intelligent and efficient robots.

Machine vision is a discipline technology, which is widely used in industrial fields such as manufacturing, manufacturing, and testing, to ensure product quality, control production processes, and perceive the environment. The machine vision system converts the acquired target into an image signal, transmits it to a dedicated image processing system, converts it into a digital signal according to the pixel distribution, brightness, color and other information, and the image system performs various operations on these signals to extract the characteristics of the target, and then controls the on-site equipment action according to the results of discrimination.

Identifying, measuring, detecting, locating, guiding, controlling, etc.

The vision system of industrial robots is mainly composed of four categories: pattern recognition, counting, visual positioning, size measurement and appearance detection, such as unmanned driving, face recognition, etc., which can be classified as the category of robot vision.

The light source is the most adequate link of domestic industrial robots. The quality of the light source lies in the contrast, brightness and sensitivity to position changes, the machine vision industry mainly uses LED light source products, the light source industry has a high degree of localization, and the competition is relatively fierce.

Domestic enterprises with low-end lenses have a certain competitiveness, and high-end lenses basically rely on imports. The basic function of the lens is to realize the beam modulation, and the target is imaged on the light-sensitive surface of the image sensor to complete the signal transmission.

Machine vision is mainly composed of five parts: lighting, lens, camera, image grabber, and vision processor.

Human beings want to achieve a series of basic activities, such as life, work, learning must rely on their own organs, in addition to the brain, the most important thing is our eyes, (industrial) robots are no exception, to complete normal production tasks, without a complete set of advanced vision system is difficult to imagine.

The machine vision system uses a machine instead of the human eye to make various measurements and judgments. It is an important branch of the Department of Computing, which integrates the technologies of optics, machinery, electronics, computer software and hardware, etc., involving computer, image processing, pattern recognition, artificial intelligence, signal processing, optical mechatronics and other fields. The rapid development of technologies such as image processing and pattern recognition has also greatly promoted the development of machine vision.

The application of vision guidance system for industrial robots includes the following aspects: automatic stacking and automatic unloading; tracking of conveyor belts; assembly of components; the application of robots and their detection; Robot loading and unloading; Guided dispensing of robots, etc.

Through the industrial robot vision guidance system, the camera is installed on the robot's arm, and the robot can follow the movement of the robot at any time, and the camera can locate all the products within the field of vision through a shot, and guide the robot to grab through data transmission and place it in the set position.

Machine vision system, in the production line, people to do such measurements and judgments will cause errors and errors due to fatigue, differences between individuals, etc., but the machine will continue tirelessly and steadily. Generally speaking, a machine vision system includes a lighting system, a lens, a camera system, and an image processing system.

For each application, we need to consider the speed at which the system will run and how fast the image will be processed, whether to use a color or monochrome camera, whether to detect the size of the target or to detect defects, how large the field of view needs to be, how high the resolution needs to be, how big the contrast ratio needs to be, etc. From a functional point of view, a typical machine vision system can be divided into: image acquisition part, image processing part and motion control part.

Robotic vision technologyIn the process of promoting the production line of related parts in the construction industry, it is found that the traditional robot application method cannot meet the needs of actual production. For example, the steel structure components in the construction industry are large-scale components with relatively large tolerance ranges, and it is difficult to meet the production needs of most domestic enterprises through technical means such as special fixtures. In order to solve this problem, robot vision technology has been widely used in the production line of related components in the construction industry, especially the production line of steel structure components.

The robot vision system can realize the function of the robot's "eye", which is generally composed of the following parts: camera, lens, light source, image capture card, and vision processor (software). The robot vision system identifies the required features of the object, transmits the corresponding data to the robot system, and then the robot makes corresponding adjustments, such as the position of the weld, which can realize the correction of the position of the weld and solve the problem of non-weldability caused by a large tolerance range.

Technology applicationIn the production of related components in the construction industry, the robot vision system can be applied to many processes such as sheet metal processing, sheet loading and unloading, workpiece assembly, weld tracking, weld quality detection, workpiece surface treatment, painted workpiece position identification, and painting quality inspection.

The two-dimensional image of the three-dimensional scene is obtained by using the vision sensor, and one or more images are processed, analyzed and interpreted through the vision processing algorithm to obtain a symbol description of the scene, and provide usable information for specific tasks to guide the actions of the robot, this process is called machine vision.

The purpose of the machine vision system is to convert the captured target into an image signal through machine vision products (i.e., light source, lens, camera, and capture card) and transmit it to machine vision software (i.e., image processing system) to replace the measurement, detection and judgment of the human eye. The principle is to simulate human visual behavior by computers, image processors and related equipment, and complete the information obtained by the human visual system.

It is a system that uses a camera to shoot and feedback tape.

The machine part is the whole integrated system responsible for the movement and control of the machinery, and the visual part is used to let the equipment "see", and if you want to make the equipment, then we need the following CCD visual inspection equipment: light source, lens, industrial camera, image capture card, etc., and the system mainly refers to the visual software algorithm.

Machine vision technology is an interdisciplinary discipline involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, model shed recognition and many other fields. Machine vision mainly uses computers to simulate human visual functions, extract information from the images of objective things, process and understand them, and finally use them for actual detection, measurement and control. The biggest feature of machine vision technology is that it is fast, informative, and multi-functional.

An integral part of a machine vision system.

1. Light source: The light source is the basic condition for obtaining the image, and its function is to illuminate the object to be detected, highlight the contrast between the measured part of the object and the background, so as to form an imaging effect with a mountain crack, so as to facilitate the processing of the image processing unit. The camera has no way to see the object directly, it can only see the light refracted from the surface of the object, and if the camera has no way to see the object and the mark, there is no way to detect the object and read the mark.

Therefore, it is necessary to use a light source device.

2. Lens: The lens is like a human eye, and its function is to transmit the optical image of the object that highlights the light source to the image sensor in the camera. Therefore, the light source determines whether clear images can be collected, and the lens determines whether the camera can acquire these clear images.

Its optical quality and ** are different, and the quality and resolution of the captured images depend mainly on the lens used.

3. Camera: This kind of camera is a camera specially used in the industrial field, also known as an industrial camera. Compared with civilian cameras, it has strong stability, transmission ability and anti-interference ability.

The camera has one of the more important components, that is, its chip, which is a sensor that can receive the information of the optical image and convert it into an output signal, which is what we call an image sensor.

4. Image grabber: In image collection and image processing, the image grabber plays a very important role, and its function is to receive the signal obtained by the camera, and then convert the collection and quantization of the signal into a digital signal and output it to the computer. In addition, it can control the signal of the camera parameters.

5. Communication unit: The machine vision system is composed of various independent parts, each part of the royal has its own function, and the function of the communication unit is to transmit the signal to the machine equipment that records or uses the information through the serial connection of the comic photo.