Digital Building Space Scanning With AI Voice Annotation
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Solution Overview
Problem
Existing methods for digitally capturing building spaces using scanning equipment are complex and prone to errors due to the time-consuming and manual process of identifying and annotating objects, leading to potential oversights.
Innovation Solution
Utilizing a scanning apparatus equipped with voice recognition technology to capture defined objects in a digital point cloud, where attributes are allocated via voice input, enabling efficient and accurate object recognition and annotation using artificial intelligence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual visual identification is used to find and annotate objects in digital scans, then the process requires human expertise and flexibility, but it becomes time-consuming and error-prone
Solution Approach 1:
The system enables self-service by allowing the scanner to automatically perform object identification and annotation functions. The scanning apparatus captures images, performs object recognition, and annotates objects autonomously without requiring manual intervention, thus reducing annotation time while maintaining accuracy through integrated AI processing
Solution Approach 2:
The patent replaces the mechanical manual process of visual identification with an automated optical and computational system. The scanning apparatus uses image capture devices and artificial intelligence algorithms to automatically identify and annotate objects, substituting human manual inspection with an automated electronic system that processes visual data
2Reliability
If comprehensive object annotation is performed manually to ensure completeness, then all objects can be captured, but the complexity and time required increase significantly
Solution Approach 1:
The scanning apparatus performs self-service by automatically executing the complete workflow of image capture, object recognition, and annotation. The system independently manages the entire process without requiring complex manual procedures, thereby maintaining reliable object capture while simplifying the overall process complexity
Solution Approach 2:
The patent merges multiple functions (image capture, object recognition, annotation) into a single integrated scanning apparatus. By combining these previously separate processes into one unified system, the patent reduces process complexity while ensuring comprehensive object capture through coordinated operation of all functions
3Loss of information
If detailed manual annotation is performed to capture all object attributes, then data completeness is improved, but the productivity decreases due to time consumption
Solution Approach 1:
The patent replaces the slow mechanical process of manual annotation with rapid automated electronic processing. The scanning apparatus uses image recognition algorithms to quickly extract and annotate object attributes, significantly increasing annotation speed while maintaining data completeness through systematic analysis of captured images
Solution Approach 2:
The system performs self-service by automatically capturing and annotating all object attributes without human intervention. The scanning apparatus independently identifies objects, extracts their characteristics, and records complete attribute data, thereby maintaining information completeness while dramatically improving annotation productivity through automated processing
Data Source
AI summary
Various embodiments of the teachings herein include a method for the digital capture of spaces of a building. In some embodiments, the method includes: scanning a corresponding space in the building by a scanning apparatus; capturing the corresponding space in a digital point cloud and/or by an image capture; performing an object recognition, based on the digital point cloud and/or the image capture, using means of artificial intelligence; mapping, after the object recognition is performed, the digital point cloud and/or the image capture in a digital building model; and in the case of the capture of defined objects in the building, capturing the respective defined object in a dedicated manner by the scanning apparatus. Attributes are allocated to the respective defined object by a voice input.