Construction Site Image Analysis for Automated Task Generation
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Solution Overview
Problem
The construction industry faces inefficiencies and cost overruns due to manual monitoring, analysis, and management of construction processes, leading to suboptimal quality and scheduling issues in construction projects.
Innovation Solution
A system comprising processors, image sensors, and communication devices that analyze construction site images to identify errors, determine concrete quality, detect discrepancies, and update records, while controlling image acquisition robots and monitoring sequence of events, thereby enhancing project management and quality control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring and analysis methods are used for construction processes, then flexibility and adaptability are maintained, but productivity is low and time consumption is high
Solution Approach 1:
The patent replaces manual mechanical monitoring and analysis with an automated computer vision system that uses image sensors, processors, and machine learning algorithms to detect construction errors, track progress, and analyze concrete quality automatically, eliminating the need for manual inspection while significantly improving productivity
Solution Approach 2:
The system enables self-service monitoring where the construction site itself provides data through images captured by sensors, and the automated processing system independently analyzes this data to generate insights about construction errors, progress status, and quality metrics without requiring human intervention for each inspection task
2Manufacturing precision
If manual monitoring and management methods are used, then system complexity is low, but manufacturing precision and measurement precision are insufficient
Solution Approach 1:
The patent replaces imprecise manual inspection with an automated computer vision system that uses image sensors, processors, and machine learning algorithms to detect construction errors, track progress, and analyze concrete quality automatically, eliminating the need for manual inspection while significantly improving detection accuracy and measurement precision
Solution Approach 2:
The system creates digital copies of the construction site through images captured by sensors, which are then processed and analyzed to generate accurate representations of construction progress, errors, and quality metrics, enabling precise measurement without physical intervention
3Measurement precision
If comprehensive image analysis is performed on all construction site images, then measurement precision and detection accuracy are improved, but use of energy and computational resources increases
Solution Approach 1:
The patent segments the image analysis process by dividing construction site images into multiple regions of interest, analyzing each region independently for specific construction elements and potential errors, which reduces overall computational energy consumption while maintaining detection accuracy through targeted analysis of critical areas
Solution Approach 2:
The system performs partial analysis by focusing computational resources on identifying and analyzing only the most critical regions and potential construction errors in images, rather than processing every pixel uniformly, thereby achieving sufficient measurement precision with reduced energy consumption
Data Source
AI summary
Systems, methods and non-transitory computer readable media for generating tasks from images of construction sites are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. The image data may be analyzed to determine at least one desired task related to the construction site and to determine at least one parameter of the at least one desired task. The determined at least one parameter of the at least one desired task to provide information configured to cause the performance of the at least one desired task.