Development of a Vision System to Enhance the Reliability of the Pick-and-Place Robot for Autonomous Testing of Camera Module used in Smartphones

2021 ◽  
Author(s):  
Hoang-Anh Phan ◽  
Duy Nam Bui ◽  
Tuan Nguyen Dinh ◽  
Bao-Anh Hoang ◽  
An Nguyen Ngoc ◽  
...  
Keyword(s):  
Vision System ◽  
Camera Module ◽  
Pick And Place

DESIGN OF A NOVEL SINGLE CAMERA VISION SYSTEM FOR BOTH COMPONENT AND BOARD ALIGNMENT IN PICK AND PLACE MACHINES

2006 ◽  
Vol 39 (16) ◽  
pp. 706-712 ◽  
Author(s):  
P.P.H. Verstegen ◽  
J.M.M. Van Gastel ◽  
J.W. Spronck
Keyword(s):  
Vision System ◽  
Single Camera ◽  
Pick And Place

scholarly journals Interfacing C328 CMOS camera with an ATMega32L microcontroller

2012 ◽  
Vol 1 ◽  
pp. 38-42
Author(s):  
Shrijandra Nath Kayastha
Keyword(s):  
Low Power ◽  
Vision System ◽  
Clock Cycle ◽  
Image Data ◽  
Cost Effective ◽  
Cmos Camera ◽  
Camera Module ◽  
Low Power Cmos ◽  
Embedded Vision System ◽  
The Cost

A small low power VGA camera module C328 can perform as a JPEG compressed still camera and can be attached to a microcontroller, PC, wireless or PDA host, etc. This paper introduces the C328 CMOS camera interface with a low power CMOS 8 bit ATMega32L microcontroller based on AVR enhanced RISC architecture. The ATMega32L executes powerful instruction in single clock cycle and achieves throughputs approaching 1MIPS per MHz that allows designing the system with optimum power consumption versus processing speed. The camera module C328 was serially interfaced with microcontroller, and the lowest resolution JPEG image (80x64) compression mode was made for the analysis of packet of image data in hex format. It was specifically designed for the cost effective embedded vision system that can be used in robot, security, monitoring etc.

Vision Based Pick and Place Robot for Sorting Objects Using MATLAB

2014 ◽  
Vol 592-594 ◽  
pp. 2314-2318
Author(s):  
Parag J. Tarwadi ◽  
Arockia Selvakumar Arockia Doss
Keyword(s):  
Material Handling ◽  
Vision System ◽  
Industrial Applications ◽  
Research Field ◽  
Robotic Arm ◽  
Material Handling System ◽  
Single Object ◽  
Pick And Place ◽  
Automated Material Handling ◽  
Different Color

In recent years, vision system in robotics have a major impact on research field and industry. Many industrial applications have a huge requirement of sorting out the things as per different color or label. This paper deals with an automated material handling system, which synchronizes the movement of robotic arm to pick a single object from the maximum numbers. This paper aims to sort out different kind of objects by their color occupied pin code and place them to its respective pre-programmed place.

Dynamic Conveyor Tracking Control of a Delta Robot

2016 ◽  
Vol 679 ◽  
pp. 43-48 ◽  
Author(s):  
Guo Ying Zhang ◽  
Guan Feng Liu ◽  
Xiao Bin Guo ◽  
Xie Yuan Lin
Keyword(s):  
High Speed ◽  
Vision System ◽  
Conveyor Belt ◽  
Torque Control ◽  
Tracking Problem ◽  
Control Scheme ◽  
Pick And Place ◽  
Time Position ◽  
Delta Robot ◽  
Computed Torque

For general dynamic pick and place tasks that the objects are transferred with high speed by the conveyor belt, the capability of a delta robot to track the traveling objects is very important for the efficiency. To meet the needs of precision and smooth control, a computed-torque control scheme for conveyor tracking is implemented in this paper. For higher efficiency and accuracy, computer vision system, encoder and conveyor belt region are incorporated into the control scheme. Dividing the conveyor belt into three regions, the robot is commanded to track, pick and give up according to the subregions. Conveyor belt is equipped with an encoder that provides the controller with real-time position and speed of the belt. Based upon those informations, the controller automatically compensates the end positions with respect to the belt to adjust for the position of the conveyor. Then, the conveyor tracking problem is converted to a subregional tracking problem.

scholarly journals Multiprocessor 3D vision system for pick and place

1991 ◽  
Vol 9 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Michael Rygol ◽  
Stephen Pollard ◽  
Chris Brown
Keyword(s):  
Vision System ◽  
3D Vision ◽  
Pick And Place

TINA: A 3D Vision System for Pick and Place

10.5244/c.1.9 ◽  
1987 ◽  
Author(s):  
J. Porrill ◽  
S. B. Pollard ◽  
T. P. Pridmore ◽  
J. B. Bowen ◽  
J. E. W. Mayhew ◽  
...  
Keyword(s):  
Vision System ◽  
3D Vision ◽  
Pick And Place

Automatic Glass Pick and Place by Industrial Robot

2016 ◽  
Author(s):  
Xiaowen Yu ◽  
Yu Zhao ◽  
Masayoshi Tomizuka
Keyword(s):  
Manufacturing Industry ◽  
Vision System ◽  
Industrial Robot ◽  
Detection Methods ◽  
Robot Motion ◽  
Grinding Process ◽  
Pick And Place ◽  
Place Task ◽  
Glass Piece

In glass manufacturing industry, glass grinding process has significant involvement of human workers. Human workers need to load and unload glass pieces to/from the grinder. A 6 DOF industrial robot could be used to automate the process by the “pick and place” task. In this paper, a vision system is implemented to robustly detect glass piece location and the placing destination. Two distinct detection methods are used for different glass settings. A “pick and place” trajectory is automatically generated based on the detected locations. A simulation is first performed to visualize robot motion before operating on the robot.

scholarly journals TINA: a 3D vision system for pick and place

1988 ◽  
Vol 6 (2) ◽  
pp. 91-99 ◽  
Author(s):  
J Porrill ◽  
S.B. Pollard ◽  
T.P. Pridmore ◽  
J.B. Bowen ◽  
J.E.W. Mayhew ◽  
...  
Keyword(s):  
Vision System ◽  
3D Vision ◽  
Pick And Place
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