Updated on 29 July 2026
AI-powered Part Extraction from Engineering Drawings (Drawing to Manufacturing)
Strategic Innovation Partner at MAFESA
VIC, Spain
About
1.1.-Context of the challenge
Mafesa's structural steel services division receives reinforced concrete projects from engineering firms, architects and contractors in a variety of digital formats.
Before production can begin, each project must be reviewed and interpreted to identify every reinforcing steel element and extract the manufacturing-ready part information required for fabrication.
Today, this process is largely manual, requiring significant engineering expertise and technical office time. As project volumes continue to grow, it has become a major bottleneck in the preparation of manufacturing orders, creating an opportunity for AI-powered automation to improve speed, accuracy and scalability.
1.2.-Key Question
How can we automate the extraction of manufacturing-ready part information from engineering drawings and technical documentation provided by engineering firms and contractors?
1.3.-Expected Outcome
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Automatically identify all reinforcing steel elements within the project documentation.
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Generate bar bending schedules (BBS) and rebar schedules.
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Calculate bar lengths, quantities and specifications.
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Generate manufacturing-ready part information for fabrication.
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Integrate seamlessly with Mafesa's existing ERP, production and management systems.
The process should require no manual intervention, except for the final validation by a technical specialist.
Topic
- AI
- Building Automation
- Digital Tools
Type
- Client-provider collaboration (commercial agreement)
Organisation
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