Insect-inspired high-speed motion vision system for robot control

2012 ◽  
Vol 106 (8-9) ◽  
pp. 453-463 ◽  
Author(s):  
Haiyan Wu ◽  
Ke Zou ◽  
Tianguang Zhang ◽  
Alexander Borst ◽  
Kolja Kühnlenz
Keyword(s):  
High Speed ◽  
Robot Control ◽  
Vision System ◽  
Motion Vision

Device and System Development of General Purpose Digital Vision Chip

2000 ◽  
Vol 12 (5) ◽  
pp. 515-520 ◽  
Author(s):  
Takashi Komuro ◽  
◽  
Shingo Kagami ◽  
Idaku Ishii ◽  
Masatoshi Ishikawa
Keyword(s):  
Visual Feedback ◽  
High Speed ◽  
Robot Control ◽  
System Development ◽  
Vision System ◽  
General Purpose ◽  
Cmos Process ◽  
Vision Chip ◽  
Processing Elements ◽  
Photo Detectors

We have been developing a VLSI device called vision chip in which photo detectors are integrated with paralled processing elements and that realizes high speed robot control using visual feedback. Using a 0.35μm CMOS process, we have developed a 16 × 16 prototype chip and have demonstrated some image acquiring and processing experiments. A vision system which includes the vision chip has also been constructed.

Based on the CO2 Gas Shielded Welding Molten Pool Image Edge Detection Algorithm

2013 ◽  
Vol 437 ◽  
pp. 840-844 ◽  
Author(s):  
Xiao Gang Liu ◽  
Bing Zhao
Keyword(s):  
Edge Detection ◽  
Molten Pool ◽  
High Speed ◽  
Vision System ◽  
Detection Algorithm ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Defect Recognition ◽  
Pool Image

This paper use the passive vision system through high-speed camera collects molten pool images; and then according to the frequency domain characteristics of the weld pool image Butterworth low-pass filter; gradient method for image enhancement obtained after pretreatment. Research Roberts, Sobel, Prewitt, Log, Zerocross, and Canny 6 both traditional differential operator edge detection processing results. Through comparison and analysis of choosing threshold for [0.1, 0. Canny operator can get the ideal molten pool edge character, for subsequent welding molten pool defect recognition provides favorable conditions.

scholarly journals Built-in-self-test system for FPGA-based vehicle video-detection and distance measurement

2021 ◽  
Author(s):  
Md Forhad Ebn Anwar
Keyword(s):  
High Speed ◽  
Vision System ◽  
Test System ◽  
Distance Measurement ◽  
Assistance System ◽  
Project Work ◽  
Practical Calculation ◽  
Automatic Driving ◽  
Driving Assistance ◽  
Driving Assistance System

Collision of vehicles in highways are very frequent. Because of high speed (more than 100 km/hour), the momentum of collision is too high that leads sever casualty. Automatic Driving Assistance system can assist the vehicle operators to take decision based on realistic practical calculation on safety measures. It is always better to have third eye working parallel with human to avoid road accident. There are several technologies used to develop perfect driving assistance system to achieve higher accuracy in detection, identification and distance measurement of obstacles where vision based system is one of them. Mono-vision system provides cheap and fast solution rather stereo vision. This project work conducted with objective to comprehend computational complexity in implementation of mono-vison camera based object detection where system will generate warning if the detected object has a motion towards target. Processing and analyzing of captured video image is the focused mechanism of implementation and used internal image generator module to mimic actual video camera. Appeared size of the shape of object considered for the decision making. The simulated image pattern can change it’s dimension to represent vehicle movement in one direction (Back and forth). In this work the on-chip car image generation sub-system was proposed designed and partially implemented on the base of the FPGA where Xilinx Zynq-7010 (ZYNQ XC7Z010-1CLG400C) FPGA development board used. Keyword: Computer Vision, mono vision, image processing on FPGA, Automatic Driving Assistance, Vehicle Detection.

High Precision Machine Vision System for Outer Diameter Inspection Bearing

2013 ◽  
Vol 552 ◽  
pp. 313-318
Author(s):  
Yuan Gao ◽  
Guo Yu Zhang
Keyword(s):  
Machine Vision ◽  
Optical System ◽  
High Speed ◽  
Measurement Accuracy ◽  
Polynomial Interpolation ◽  
Vision System ◽  
Outer Diameter ◽  
Machine Vision System ◽  
Diameter Measurement ◽  
Ccd Image

A machine vision system for bearing outer diameter inspection has been developed in this paper. The infinite objective of optical system is applied to diameter measurement system. The paper provides a method for measuring the size of objects based on polynomial interpolation. The technology of CCD image stagger is applied in the paper. The method can avoid space between pixels astriction theoretically, so higher measurement accuracy is gained. The experiment results show that the system has many advantages such as non- touch , high speed and higher precision.

Tracking and Catching of an In-Flight Ring using a High-Speed Vision System and a Robot Arm

2021 ◽  
Author(s):  
Xiao Liang ◽  
Hairui Zhu ◽  
YanLong Chen ◽  
Yuji Yamakawa
Keyword(s):  
High Speed ◽  
Vision System ◽  
Robot Arm

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

High-Speed Noncontact Profiling of Pavement Surface Texture and Its Significance

1986 ◽  
Vol 108 (3) ◽  
pp. 455-461
Author(s):  
J. C. Wambold ◽  
J. J. Henry
Keyword(s):  
Surface Texture ◽  
High Speed ◽  
Large Scale ◽  
Vision System ◽  
Small Scale ◽  
Skid Resistance ◽  
Texture Measurement ◽  
Pavement Surface ◽  
Texture Characteristics ◽  
Regression Techniques

It is generally agreed that the friction between a tire and a wet pavement (skid resistance) is controlled by the surface texture characteristics. Therefore, by measuring the relevant parameters describing texture, or by measuring a physical process dependent on texture, regression techniques can be used to relate skid resistance to the chosen texture parameter or process. Two scales of texture are of particular importance: microtexture (small-scale asperities) and macrotexture (large-scale asperities). This paper describes work performed to: (1) review candidate macrotexture and microtexture measurement methods that can be made at highway speeds (at or about 64 km/h [40 mph]), which are presently used or have potential for use in pavement texture measurement; (2) design and build a prototype of the most promising method; and (3) evaluate the effects of pavement surface texture on skid resistance. A prototype noncontact vision system that makes texture measurements at highway speeds was developed, and several improvements were made to upgrade the system to provide an improved prototype. Both hardware and software enhancements have yielded a texture measurement system that can obtain pavement macrotexture data in a fast, efficient, and reliable way.

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