Case Study
Electrical installations in residential, commercial and industrial environments are traditionally planned by civil architects via manually made paper drawings. Depending on aspects such as the size of the project, the building plan, number of rooms and floors, this process could have several permutations and combinations to accommodate the necessary switchboards, sockets and other electrical components required. This process of electrical installation planning requires a dedicated engineering team and typically take 2-4 weeks to complete.
The client was looking for a partner who could provide an innovative solution to improve the process and response time while adding design agility to its business when bidding for new prospects.
Key Challenges
- The blueprints of the electrical installations are complex and have complicated schematics that depict electrical components like lights, fans, cables, wiring and other equipment
- The drawings are examined by the civil architects based on which the component list is prepared for the generation of bill of materials and cost estimate
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Talk To ExpertsThe Solution
Infosys deep learning based entity extraction
- Entity extraction from P&ID diagrams, PDF, images and videos
- Deep learning and Computer Vision based solution to extract the required information
Increased productivity
Deep Learning and Computer Vision based solution that could interpret the electrical symbols on scanned and electronic copies of building layouts
The electrical symbols identified through scanned hard copies are auto mapped to corresponding electrical equipment
Benefits
An automated AI driven process utilizing advanced deep learning techniques
Processing time of projects reduced from 2 weeks to 2 hours
Improved overall productivity by 400%
The customer acknowledged that the new AI based solution was a “giant leap forward for the e-FAB business.”
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