Businessware Technologies
Sep 09, 2022
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Technical Drawing Recognition System
Ongoing

Technical Drawing Recognition System

$25,000+
7-12 months
United States
6-9
view project
Service categories
Service Lines
AR & VR
Domain focus
Technology
Frameworks
.NET

Challenge

To accurately prepare a bill of quantities and provide a price estimation, the following information needs to be extracted from a floor plan: - Building type - office building, shopping mall, apartment building - Floor plan type - electrical, plumbing, etc. - Number of doors, windows, and rooms - Total wall length - Total area The documents usually contain multiple technical drawings, especially when it comes to multi-story buildings. Ready-made solutions for optical character recognition (OCR) could not handle the task with enough accuracy or could not handle it at all due to the special characters used in the technical drawings, as well as the graphic nature of the drawings themselves.

Solution

The system detects technical drawing type and scale, and automatically generates a table of contents, making it easy to navigate large multi-page documents. To start with, the user highlights the label that needs to be detected, one for every object group. After that, the processing starts, and the technical drawing is analyzed by the object recognition model. The results are as follows: - all relevant labels are recognized and counted - all walls, windows, and doors are recognized and separated into groups according to their properties - the floor plan is separated into rooms that are counted - the total area of the floor plan is counted - the total length of the walls is counted

Results

A resulting system is a full-fledged tool for working with complex floor plans and accompanying tables. It reduces manual labor and greatly speeds up price estimation. The system is highly flexible and can be adjusted to analyze any PDF document and extract relevant information.
A resulting system is a full-fledged tool for working with complex floor plans and accompanying tables. It reduces manual labor and greatly speeds up price estimation. The system is highly flexible and can be adjusted to analyze any PDF document and extract relevant information.