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    Home > Active Ingredient News > Diagnostic Test > [Famous Column] Li Shaobo: Using machine vision technology to help win two battles

    [Famous Column] Li Shaobo: Using machine vision technology to help win two battles

    • Last Update: 2021-07-29
    • Source: Internet
    • Author: User
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    Machine vision is a subject that studies how to make machines see the world, using visual algorithms to achieve tasks that can be accomplished by the human visual system

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    In the industrial field, machine vision can be widely used in typical scenarios such as industrial robot sorting, product defect detection, unmanned driving, and information security

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      Machine vision in industrial robots
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    Traditional industrial robots need to achieve grasping tasks through complex calibration and pre-programming

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    With the development of artificial intelligence technology, the current robot grasping uses machine vision technology to automatically obtain the visual coordinates of the target to be grasped or assembled.
    By matching the visual coordinates with the robot coordinates, combined with the control program, the robot's automatic grasping and Assembly

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    When faced with a disordered and complex environment, industrial robots no longer rely on set programs to perform work.
    How to automatically perceive and analyze the environment to make judgments is the difficulty of the current industrial robot grasping tasks

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      Machine vision in product defect detection
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    Industrial visual defect detection mainly includes two processes: image acquisition and defect detection

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    Image acquisition equipment, shooting angles, lighting conditions and environmental changes, etc.
    , cause the acquired images to have different quality, which determines the difficulty of image processing; the feature extraction capabilities of different image processing algorithms and image preprocessing methods directly affect The accuracy rate of defect detection and the level of false detection rate

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    By using machine vision technology to detect defects such as product surface spots, pits, scratches, chromatic aberrations, defects, and internal structure, relevant information such as the depth, size, contour, and defect category of the defect on the surface or inside of the test sample can be obtained

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      Machine vision in unmanned driving
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    Machine vision technology provides eyes for unmanned driving

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    Unmanned driving technology can be roughly divided into 3 stages: perception, decision-making and control

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    Machine vision technology is mainly applied in the perception stage of unmanned driving systems.
    It uses visual equipment to obtain depth information in the scene, and uses visual technology to understand the depth information of the image to obtain the driving area and target obstacles; The motion direction and speed are estimated, and the object is detected and tracked; finally, the SLAM technology is combined to segment, analyze and understand the entire scene to realize the task of automatic driving

    .


      Machine vision in the security field
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    Machine vision technology has a wide range of applications in the security field, such as the behavior prediction of traffic scenes such as intersections, highways, parking lots, and airports; scene monitoring of military bases and banks, and monitoring of sensitive public places such as important squares and railway stations

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    Through visual technology, without human intervention, the captured behavior is automatically analyzed, and the target to be detected is automatically identified, located, tracked and predicted, and abnormal behaviors in the monitoring scene are discovered and responded to

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      3D vision technology is an important trend in the development of machine vision technology
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    3D vision technology mainly includes: First, multi-view

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    Taking a series of photos of an object or scene, the machine vision algorithm calculates the three-dimensional graphics that best explain the photos under the given materials, angle of view and lighting conditions, and finally aggregates the features to form a three-dimensional object

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    Second, voxels

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    The smallest unit of the two-dimensional space is the pixel, and the voxel is the smallest unit in the three-dimensional space segmentation.
    The geometric representation of the object is converted into the voxel representation closest to the object, which not only contains the surface information of the object to be detected, but also Describe the internal properties of the model

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    Third, point cloud

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    The data collection of product appearance surface points obtained by measuring instruments such as lidar and depth camera is called point cloud.
    Specific scenes such as 3D virtual fitting room, smart home environment experience, smart robot grasping,

     

      Restoration of historical sites such as the three-dimensional structure
    .
    At present, the situation of the prevention and control of the new crown pneumonia epidemic is showing a positive trend, but it is still at the most strenuous critical stage

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    To seize time and make up for losses, Guizhou is vigorously promoting the resumption of work and production, and can make full use of machine vision technology to help win the battle against epidemic prevention and control and the fight against poverty

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    For example: Promote the application of intelligent manufacturing and intelligent robot technology and systems, and realize the replacement of people with machines in the personnel-intensive production, inspection, logistics and other links of enterprises; face recognition technology can be used to reduce cross-contact for attendance; drones, cameras, etc.
    The visual function of the equipment partly replaces the manual on-site inspection to avoid the gathering of people to the greatest extent; combines the existing video surveillance system in factories, communities, railway stations, airports, subways and other public places to build a special population screening and early warning system; actively develops machine-based Visual public safety, a complete set of technologies for timely monitoring, early warning and rapid response to improve safety prevention and management; speed up the promotion of the application of machine vision technology in agricultural production, for the classification and quality control of vegetables and fruits, and the identification of crop diseases and insect pests; Promote the application of machine vision technology to assist medical diagnosis, promote remote medical treatment, and reduce patient gathering

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    Source: "Contemporary Guizhou" Issue 11, 2020

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