Paper
16 February 1984 Vision System To Identify Car Body Types For Spray Painting Robot
Peter Uartlam, Geoff Neilson
Author Affiliations +
Abstract
The automation of car body spray booth operations employing paint spraying robots generally requires the robots to execute one of a number of defined routines according to the car body type. A vision system is described which identifies a car body type by its shape and provides an identity code to the robot controller thus enabling the correct routine to be executed. The vision system consists of a low cost linescan camera, a flucrescens light source and a microprocessor image analyser and is an example of a cost effective, reliable, industrially engineered robot vision system for a demanding production environment. Extension of the system with additional cameras will increase the application to the other automatic operations on a car assembly line where it becomes essential to reliably differentiate between up to 40 vatiations of body types.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Uartlam and Geoff Neilson "Vision System To Identify Car Body Types For Spray Painting Robot", Proc. SPIE 0449, Intelligent Robots: 3rd Intl Conf on Robot Vision and Sensory Controls, (16 February 1984); https://doi.org/10.1117/12.939252
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Imaging systems

Line scan image sensors

Light sources

Image analysis

Computer programming

Video

RELATED CONTENT

Precision software-based image analysis system
Proceedings of SPIE (September 16 1992)
Symmetry-based vehicle location for AHS
Proceedings of SPIE (February 17 1997)
Optical-flow estimation for multichannel video sequences
Proceedings of SPIE (January 10 1997)

Back to Top