Autonomous Disassembly by Advanced Shape Recognition


ADAS - 9052

Keywords disassembly systems, image processing, neural networks, pattern recognition, robotics, vision system development, vision systems, TV sets, computer monitors, environmental issues


Start Date: 01-JAN-94 / Duration: 36 months

[ contact / participants ]


Objectives

The main objective of the ADAS project is to develop an autonomous system for the identification and disassembly of electromechanical products such as TV sets or computer monitors.

ADAS aims to combine these elements to form a disassembly line for the dismantling of different devices of a product family (eg TV monitors). This line will be designed to be as flexible as is required to enable the identification of and adaptation to different product types.

It is therefore highly desirable that the sensor can detect the 3D co-ordinates of monitors without the restriction to diffusely scattering surfaces of smooth curvature. Also, for the objects of interest (diameter between 0.5 and 1 m), the required resolution that allows the identification of small components such as screws must be better than 1 mm. The use of the chirped laser radar technique offers a promising way to overcome these well-known restrictions.

As the disassembly process requires image-processing rates of higher than one 3D image per second, a fast image-processing technique is required. Neural networks have proven suitable for a number of image-processing tasks, but fast neural network implementations are necessary in order to perform online image processing. A trainable neural network PC expansion board with supporting software will be developed within the framework of this project. The implementation of disassembly processes will also require a graphical interface in order to enable users to develop strategies easily on their own.

Among the results to be expected are:

Further information about ADAS is available from the ADAS home page <URL:http://www.3dscanners.com/randd/adas.htm>.


CONTACT POINT

Dr Ing Herbert Ebach
Siemens AG
ZPL 1 FPS 14
Paul-Gossen Str. 100
D - 91050 Erlangen
tel: + 49 / 9131 731796
fax: + 49 / 9131 720433
telex: 629210 SI D

Participants

SIEMENS - D - C

3D SCANNERS LTD - UK - P
RISØ NATIONAL LABORATORY - DK - P
ROBOTIKER - E - P


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ADAS - 9052, December 1993


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html version of synopsis by Nick Cook