Nothing Special   »   [go: up one dir, main page]

Zhang et al., 2022 - Google Patents

Stud pose detection based on photometric stereo and lightweight YOLOv4

Zhang et al., 2022

View PDF
Document ID
16956865311433378714
Author
Zhang X
Wang G
Publication year
Publication venue
Journal of Artificial Intelligence and Technology

External Links

Snippet

There are hundreds of welded studs in a car. The posture of a welded stud determines the quality of the body assembly, thus affecting the safety of cars. It is crucial to detect the posture of the welded studs. Considering the lack of accurate method in detecting the …
Continue reading at ojs.istp-press.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0004Industrial image inspection
    • G06T7/001Industrial image inspection using an image reference approach
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30148Semiconductor; IC; Wafer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • G06T2207/30164Workpiece; Machine component
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/24Measuring arrangements characterised by the use of optical means for measuring contours or curvatures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical means
    • G01B11/02Measuring arrangements characterised by the use of optical means for measuring length, width or thickness
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/19Recognition of objects for industrial automation

Similar Documents

Publication Publication Date Title
Zhang et al. Stud pose detection based on photometric stereo and lightweight YOLOv4
Lv et al. LCCNet: LiDAR and camera self-calibration using cost volume network
Zhao et al. High-efficiency sub-microscale uncertainty measurement method using pattern recognition
CN112419429B (en) Large-scale workpiece surface defect detection calibration method based on multiple viewing angles
CN115482195B (en) Train part deformation detection method based on three-dimensional point cloud
Hsu et al. Development of a faster classification system for metal parts using machine vision under different lighting environments
Lee et al. Machine learning-based automatic optical inspection system with multimodal optical image fusion network
Liu et al. Real-time 3D surface measurement in additive manufacturing using deep learning
Li et al. Stereo vision based automated solder ball height and substrate coplanarity inspection
Yan et al. Multi-line laser structured light fast visual positioning system with assist of TOF and CAD
Caporali et al. Deformable linear objects 3D shape estimation and tracking from multiple 2D views
Frank et al. Stereo-vision for autonomous industrial inspection robots
Sun et al. Precision work-piece detection and measurement combining top-down and bottom-up saliency
Riffo et al. Active inspection of objects to detect possible damage and measure their volume using 3D reconstruction
Gajdošech et al. Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
Peng et al. Real time and robust 6D pose estimation of RGBD data for robotic bin picking
Ntoulmperis et al. 3D point cloud analysis for surface quality inspection: A steel parts use case
Li et al. Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud
Belhaoua et al. Estimation of 3D reconstruction errors in a stereo-vision system
Mohammadikaji et al. Probabilistic surface inference for industrial inspection planning
Choi et al. Probabilistic visual verification for robotic assembly manipulation
Junaid et al. In-process measurement in manufacturing processes
Qi et al. Research progress of part point cloud detection based on deep learning
Korta et al. OpenCV based vision system for industrial robot-based assembly station: calibration and testing
Zhang et al. Defect Inspection for Curved Surface with Highly Specular Reflection