Development of a 2D Measurement System for Implementation in Robots Used for Industrial Parts Verification

被引:0
|
作者
Jimenez-Nixon, Delond Angelo [1 ]
Artica-Zelaya, Maycool Jonas [1 ]
Paz-Cardona, Marcio Javier [1 ]
机构
[1] Univ Tecnol Cent Amer UNITEC, Fac Engn, San Pedro Sula, Honduras
来源
2023 8TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS ENGINEERING, ICCRE | 2023年
关键词
Computer Vision; Object Detection; Raspberry Pi; Algorithm; LiDar Sensor;
D O I
10.1109/ICCRE57112.2023.10155606
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the high quality demands in the manufacturing industry, there is a need for strict and reliable quality inspection processes and/or systems. In Honduras there is a large need for robot implementations, some of the main reasons for a lack of high use levels are insufficient financial and training resources. The main objective of this study is to offer a robotic end effector capable of detecting and calculation the dimension of objects in a 2D plane using a lidar sensor and by way of the development of a measurement algorithm using computer vision. With the tools and guidelines obtained using the hierarchical method t was possible to develop a 2D measurement system for implementation in robots used for industrial parts verification. The system counts with the capability to auto adjust and take into account the distance at which the camera is located when detecting and thus measuring object. it is able to measure a number of object obtaining there height and width. The values for precision of the system are 88% obtaining the height and 85% calculating the width. Confirming that the development is capable of detection and measuring object in a 2D plane.
引用
收藏
页码:254 / 259
页数:6
相关论文
共 50 条
  • [41] A Comparative Analysis on Hardware System of 2D Discrete Wavelet Transformation for the Image Denoising Application
    Bhosale, Nayna Vijaykumar
    Kanade, Sudhir S.
    INTERNATIONAL CONFERENCE ON INTELLIGENT DATA COMMUNICATION TECHNOLOGIES AND INTERNET OF THINGS, ICICI 2018, 2019, 26 : 1076 - 1087
  • [42] A Secure Image Encryption Scheme Based on a New Hyperchaotic System and 2D Compressed Sensing
    Liu, Muou
    Ning, Chongyang
    Zhu, Congxu
    ENTROPY, 2024, 26 (07)
  • [43] Automatic diagnostic system for segmentation of 3D/2D brain MRI images based on a hardware architecture
    Hamdaoui, Faycal
    Sakly, Anis
    MICROPROCESSORS AND MICROSYSTEMS, 2023, 98
  • [44] Digital measurement of 2D and 3D cracks in sandstones through improved pseudo color image enhancement and 3D reconstruction method
    Zhao, Zhi
    Zhou, Xiao-Ping
    INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2019, 43 (16) : 2565 - 2584
  • [45] Dynamical 2D and 3D image encryption method by hybrid system based on cat map and wavelet transform
    Zarebnia, M.
    Parvaz, R.
    OPTIK, 2020, 219
  • [46] High-accuracy, real-time pedestrian detection system using 2D and 3D features
    Chambers, David R.
    Flannigan, Clay
    Wheeler, Benjamin
    THREE-DIMENSIONAL IMAGING, VISUALIZATION, AND DISPLAY 2012, 2012, 8384
  • [47] Implementation and model uniqueness of Particle Swarm Optimization method with a 2D smooth modeling approach for Radio-Magnetotelluric data
    Karcioglu, G.
    Gurer, A.
    JOURNAL OF APPLIED GEOPHYSICS, 2019, 169 : 37 - 48
  • [48] An Improved Image Segmentation System: A Cooperative Multi-agent Strategy for 2D/3D Medical Images
    Allioui, H.
    Sadgal, M.
    Elfazziki, A.
    JOURNAL OF COMMUNICATIONS SOFTWARE AND SYSTEMS, 2020, 16 (02) : 143 - 155
  • [49] Real-Time Avoidance Strategy of Dynamic Obstacles via Half Model-Free Detection and Tracking With 2D Lidar for Mobile Robots
    Dong, Huixu
    Weng, Ching-Yen
    Guo, Chuangqiang
    Yu, Haoyong
    Chen, I-Ming
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 26 (04) : 2215 - 2225
  • [50] FPGA-based Architecture for a Low-Cost 3D Lidar Design and Implementation from Multiple Rotating 2D Lidars with ROS
    Queralta, J. Pena
    Yuhong, F.
    Salomaa, L.
    Qingqing, L.
    Gia, T. N.
    Zou, Z.
    Tenhunen, H.
    Westerlund, T.
    2019 IEEE SENSORS, 2019,