Indoor Floorplan Mapping With Object Anchoring for Evacuation Signs
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Solution Overview
Problem
Conventional systems for creating two-dimensional floorplans are prone to errors, time-consuming, and difficult to update due to compliance regulations, leading to inefficient and potentially unsafe evacuation planning.
Innovation Solution
A system and method utilizing a mobile mapping device with a camera and processor to create and integrate object data into a 2-D floorplan, allowing for automatic recognition and anchoring of objects, and generating adjustable evacuation signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operations are used to prepare two-dimensional floorplans, then flexibility and adaptability are maintained, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system creates digital copies of physical floorplans and objects using camera imaging and image recognition technology. The mobile mapping device captures images of the physical environment, and the processor automatically recognizes and digitizes objects, walls, and spatial relationships, transforming physical floorplans into accurate digital representations without manual tracing or drawing.
Solution Approach 2:
The system replaces manual mechanical operations (hand-drawing, manual measurement, physical drafting) with automated computational processes. The processor uses image recognition algorithms to automatically identify objects, determine their positions, and generate floorplan data, substituting human manual labor with automated digital processing.
2Adaptability or versatility
If manual floorplan preparation methods are used, then compliance with regulations can be addressed, but the process becomes difficult to update when changes occur
Solution Approach 1:
The system creates dynamic, easily updatable digital floorplans stored in databases. When changes occur in the physical environment, the mobile mapping device can quickly capture new images, and the processor automatically updates the digital floorplan by comparing new data with existing records, enabling rapid adaptation to changes without requiring complete manual redrawing.
Solution Approach 2:
The system performs preliminary digital documentation of the floorplan and all objects. By having the baseline digital model already created and stored, any future changes can be efficiently captured by taking differential updates rather than creating complete floorplans from scratch, significantly reducing update time.
3Reliability
If conventional manual methods are used, then basic floorplan creation is possible, but error rates increase due to compliance regulations
Solution Approach 1:
The system incorporates compliance regulation databases and automated checking mechanisms that provide feedback during floorplan creation. The processor compares the generated floorplan against stored compliance requirements and automatically identifies violations, allowing users to correct errors before finalization, thereby ensuring compliance accuracy.
Solution Approach 2:
The system integrates multiple functions into a single mobile mapping device and processing system: image capture, object recognition, floorplan generation, compliance checking, and database management. This multi-functional integration reduces the need for separate tools and processes, managing system complexity while improving reliability through comprehensive automated validation.
Data Source
AI summary
A system and method for mapping indoor spaces including a mobile mapping device having a camera; a plan database configured to store 2-D floorplans; and a processor configured to integrate a selected floorplan from the plan database with object data received from the mobile mapping device to create a mountable evacuation sign of a venue. The processor is configured to recognise objects from an image from the camera and anchor the recognised object within a 2-D floorplan.