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Deep Tech Proyects

SIAPS: visual inspection systems based on artificial intelligence and vision

The project, promoted by Basque Tek Ventures, digitalises the parts check for early error detection, gap-free traceability of the quality control process, and lower environmental impact and personnel costs.

Project fact sheet

SIAPS

Vertical: Smart Industry

Project description

The SIAPS project is focused on inspecting joints and components to detect defects in parts with quality requirements.  It therefore promotes the substitution of the manual inspection processes and with high environmental impact by other digital ones based on artificial intelligence and vision, and operable in hostile and changing environments.

Its competitive advantage lies in early defect detection for their fast correction, substituting specialist operator dependent processes (thus lowering costs), the possibility of the inspection of each part being fully traceable, and zero environmental impact.

Technology Readiness Level TRL7
Venture Readiness Level Incubation

Market

Energy, construction, transport, capital goods and all sectors that require a unit or random inspection of parts, particularly welded ones.

Customers range from small companies with discrete processes to large companies with automated manufacturing lines.

Technology tags

computer vision artificial intelligence deep learning hardware

Business model

Client B2C
Revenue model Sale of product / SW use / Maintenance

Project needs

Looking to connect with...
 Companies/Entities to run pilot schemes; Investors, Advisers

Promoted by

SIAPS

Are you interested in high-tech projects capable of generating greater market impact?

Fill in this form and we will contact you if you want to take part in this initiative – either by contributing technology assets or if you are a talent promoter capable of turning them into business projects.

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