scholarly journals Development of an Active High-Speed 3-D Vision System

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1572 ◽  
Author(s):  
Akio Namiki ◽  
Keitaro Shimada ◽  
Yusuke Kin ◽  
Idaku Ishii
Keyword(s):  
Real Time ◽  
High Speed ◽  
Vision System ◽  
Active Vision ◽  
Measurement Range ◽  
Target Object ◽  
Model Matching ◽  
Time Model ◽  
Sensing System ◽  
Position And Orientation

High-speed recognition of the shape of a target object is indispensable for robots to perform various kinds of dexterous tasks in real time. In this paper, we propose a high-speed 3-D sensing system with active target-tracking. The system consists of a high-speed camera head and a high-speed projector, which are mounted on a two-axis active vision system. By measuring a projected coded pattern, 3-D measurement at a rate of 500 fps was achieved. The measurement range was increased as a result of the active tracking, and the shape of the target was accurately observed even when it moved quickly. In addition, to obtain the position and orientation of the target, 500 fps real-time model matching was achieved.

Real-Time Microforce Sensors and High Speed Vision System for Insect Flight Control Analysis

2008 ◽  
pp. 451-460 ◽  
Author(s):  
Chauncey F. Graetzel ◽  
Steven N. Fry ◽  
Felix Beyeler ◽  
Yu Sun ◽  
Bradley J. Nelson
Keyword(s):  
Real Time ◽  
Flight Control ◽  
High Speed ◽  
Insect Flight ◽  
Vision System ◽  
Control Analysis

An Intelligent High-Frame-Rate Video Logging System for Abnormal Behavior Analysis

2011 ◽  
Vol 23 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Yao-DongWang ◽  
◽  
Idaku Ishii ◽  
Takeshi Takaki ◽  
Kenji Tajima ◽  
...  
Keyword(s):  
Real Time ◽  
Video Processing ◽  
High Speed ◽  
Vision System ◽  
Video Recording ◽  
Frame Rate ◽  
Abnormal Behavior ◽  
High Frame Rate ◽  
Abnormal Behavior Detection ◽  
Abnormal Behaviors

This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and High-Frame-Rate (HFR) video recording simultaneously. In IDP Express, 512×512 pixel images from two camera heads and the processed results on a dedicated FPGA (Field Programmable Gate Array) board are transferred to standard PC memory at a rate of 1000 fps or more. Owing to the simultaneous HFR video processing and recording, IDP Express can be used as an intelligent video logging system for long-term high-speed phenomenon analysis. In this paper, a real-time abnormal behavior detection algorithm was implemented on IDP-Express to capture HFR videos of crucial moments of unpredictable abnormal behaviors in high-speed periodic motions. Several experiments were performed for a high-speed slider machine with repetitive operation at a frequency of 15 Hz and videos of the abnormal behaviors were automatically recorded to verify the effectiveness of our intelligent HFR video logging system.

Real-time Vibration Distribution Measurement Using High-speed Multithread Active Vision

2016 ◽  
Vol 2016 (0) ◽  
pp. 2A1-20a4
Author(s):  
Liang LI ◽  
Tadayoshi AOYAMA ◽  
Takeshi TAKAKI ◽  
Idaku ISHII ◽  
Chikako UMEMOTO ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Active Vision ◽  
Distribution Measurement

scholarly journals A curvilinear snake arm robot with gripper-axis fibre-optic image processor feedback

Robotica ◽  
1983 ◽  
Vol 1 (1) ◽  
pp. 33-39 ◽  
Author(s):  
W. K. Taylor ◽  
D. Lavie ◽  
I. I. Esat
Keyword(s):  
Real Time ◽  
Optical Fibre ◽  
Degrees Of Freedom ◽  
Vision System ◽  
Image Processor ◽  
Image Guide ◽  
Confined Spaces ◽  
Position And Orientation ◽  
Component Recognition ◽  
Optic Image

SUMMARYA curvilinear robot constructed from a number of modular flexible sections of fixed length and diameter but independently controlled radius and direction of curvature has been equipped with an optical fibre image guide transmitting images from between the gripper jaws to the remote TV camera of Microvision-100, a microcomputer controlled real-time DMA-based vision System that is easily trained to recognise the shape, position and orientation of components. The gripper position and orientation is controlled by feedback from the vision System, the action taken depending on component recognition and inspection for defects. Redundant degrees of freedom enable the curvilinear robot to avoid obstacles and work in confined spaces.

Sign in / Sign up

Export Citation Format

Share Document