Objective
Objectives and content
The world market for industrial vision applications reached eight thousand million ECU in 1996, and there is still a large potential for further growth, provided availability of innovative technology. The four applications in this project show, that there is a demand for machine vision assisted automation, but these applications require a beyond-CCD-reach performance. Each of this application is typical for its industrial sector.
The proposed project addresses:
- the main problem of the European machine vision industry: the machine vision market is a dominated by Far East supplier of the CCD cameras and by American suppliers of the processing hardware;
- the main technical problem of the machine vision: the limitations of the CCD camera, as poor intensity dynamic and complicated data output, that requires expensive hardware and leads to slow data access.
A new image sensor is emerging for the last few years, the CMOS image sensor. The CMOS image sensor offers technical advantages as large intensity dynamic, direct access to the image information and possibility for integration of processing power directly onto the chip. The same CMOS technology is used for manufacturing of 95% of all semiconductors world-wide and is therefore widely available and less expensive than the special CCD technology.
The proposed project is focused on:
- development of a new machine vision architecture, that will fully utilise the advantages of the CMOS image sensor technology, such as the random pixel access and on-the-sensor-chip processing (both unthinkable with CCD), this innovative architecture is not feasible with the CCD technology;
- development of all modules for this architecture: a CMOS image sensor, a pre-processing ASIC and an intelligent post-processing & user interface software;
- development of four industrial applications for this novel machine vision system;
- involving from the very beginning several industries (transport, automotive, wood, electronics). These applications could not be solved with the current machine vision architectures, which "amplify" the CCD limitations. Technically speaking the new system will work properly under extreme illumination conditions (up to 140dB intensity dynamic vs CCD's 45dB), will be by a factor of five faster than current systems (exposure time far below the CCD's 20 msec) and less expensive than the current systems (due to its compactness). From the industrial point of view this development will allow the European industry to take a strong position on the growing world market for machine vision systems and applications.
Two per cent growth of the world market for machine vision applications, generated by the European industry, means a turnover of annually 160 million ECU. The consortium considers this target as reachable in four years after finishing the project. The Consortium, led by a multinational electronic company, has both, R&D resources and capability to carry out the proposed development and the Marketing & Sales muscles plus the financial power to convert the technical results into a business success for the benefit of the European industry BE97-5084.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence computer vision
- social sciences sociology industrial relations automation
- natural sciences physical sciences electromagnetism and electronics semiconductivity
- agricultural sciences agriculture, forestry, and fisheries forestry
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
5600 MD Eindhoven
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.