Robot vision implementation by high-speed image processor TOSPIX: Battery inspection

Robotica ◽  
1983 ◽  
Vol 1 (4) ◽  
pp. 223-230 ◽  
Author(s):  
Yoshinori Kuno ◽  
Hideo Numagami ◽  
Minoru Ishikawa ◽  
Hiroshi Hoshino ◽  
Yasushi Nakamura ◽  
...  
Keyword(s):  
Image Processing ◽  
High Speed ◽  
Vision System ◽  
Low Cost ◽  
Rear Surface ◽  
Robot Vision ◽  
Label Pattern ◽  
Gray Scale ◽  
Position Determination ◽  
Gray Scale Image

SUMMARYThis paper presents an intelligent robot vision system using TOSPIX which has been newly developed to realize frequently-used and time-consuming image processing functions at low-cost and high-speed. The vision system has been studied for use in observing surface information about electric parts (dry batteries), inspecting them and then placing good ones into a given box. Three major robot vision functions are implemented here: object recognition, inspection and position determination by binary and gray-scale image processing techniques. While binary image techniques are used in battery terminal inspection and box position determination gray-scale image processing functions are performed in a label pattern check on a battery surface, front or rear surface determination, and surface defect inspection.

scholarly journals Robot Vision System with Gray-Scale Image and Range Image for the Outdoor Electricity Distribution Work

2002 ◽  
Vol 122 (11) ◽  
pp. 1961-1968
Author(s):  
Shinji Murakami ◽  
Tsutomu Hasegawa ◽  
Yukio Hashiguchi ◽  
Toshimitsu Irie ◽  
Jun Goto
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Electricity Distribution ◽  
Range Image ◽  
Gray Scale ◽  
Gray Scale Image

Fast and Robust Vision System for Shogi Robot

2015 ◽  
Vol 27 (2) ◽  
pp. 182-190
Author(s):  
Gou Koutaki ◽  
◽  
Keiichi Uchimura
Keyword(s):  
Image Processing ◽  
Vision System ◽  
Low Cost ◽  
Robot Arm ◽  
Image Processing Algorithm ◽  
Robot System ◽  
Cost System ◽  
Robot Systems ◽  
Web Camera ◽  
Lower Frame

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270002/08.jpg"" width=""150"" />Developed shogi robot system</div> The authors developed a low-cost, safety shogi robot system. A Web camera installed on the lower frame is used to recognize pieces and their positions on the board, after which the game program is played. A robot arm moves a selected piece to the position used in playing a human player. A fast, robust image processing algorithm is needed because a low-cost wide-angle Web camera and robot are used. The authors describe image processing and robot systems, then discuss experiments conducted to verify the feasibility of the proposal, showing that even a low-cost system can be highly reliable. </span>

scholarly journals Architecture and implementation of a high frame-rate stereo vision system

2021 ◽  
Author(s):  
Jamin Islam
Keyword(s):  
Integrated Circuits ◽  
Stereo Vision ◽  
High Speed ◽  
Vision System ◽  
Low Cost ◽  
Cost Effective ◽  
Frame Rate ◽  
Superior Performance ◽  
High Frame Rate ◽  
Stereo Vision System

For the purpose of autonomous satellite grasping, a high-speed, low-cost stereo vision system is required with high accuracy. This type of system must be able to detect an object and estimate its range. Hardware solutions are often chosen over software solutions, which tend to be too slow for high frame-rate applications. Designs utilizing field programmable gate arrays (FPGAs) provide flexibility and are cost effective versus solutions that provide similar performance (i.e., Application Specific Integrated Circuits). This thesis presents the architecture and implementation of a high frame-rate stereo vision system based on an FPGA platform. The system acquires stereo images, performs stereo rectification and generates disparity estimates at frame-rates close to 100 fpSi and on a large-enough FPGA, it can process 200 fps. The implementation presents novelties in performance and in the choice of the algorithm implemented. It achieves superior performance to existing systems that estimate scene depth. Furthermore, it demonstrates equivalent accuracy to software implementations of the dynamic programming maximum likelihood stereo correspondence algorithm.

scholarly journals Fenômica

2020 ◽  
Vol 11 (1) ◽  
pp. 1-22
Author(s):  
Marcos Roberto dos Santos ◽  
Guilherme Afonso Madalozzo ◽  
José Maurício Cunha Fernandes ◽  
Rafael Rieder
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Web Application ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Agricultural Research ◽  
Vision System ◽  
Low Cost ◽  
Wheat Crop ◽  
Three Solutions

Computer vision and image processing procedures could obtain crop data frequently and precisely, such as vegetation indexes, and correlating them with other variables, like biomass and crop yield. This work presents the development of a computer vision system for high-throughput phenotyping, considering three solutions: an image capture software linked to a low-cost appliance; an image-processing program for feature extraction; and a web application for results' presentation. As a case study, we used normalized difference vegetation index (NDVI) data from a wheat crop experiment of the Brazilian Agricultural Research Corporation. Regression analysis showed that NDVI explains 98.9, 92.8, and 88.2% of the variability found in the biomass values for crop plots with 82, 150, and 200 kg of N ha1 fertilizer applications, respectively. As a result, NDVI generated by our system presented a strong correlation with the biomass, showing a way to specify a new yield prediction model from the beginning of the crop.

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