Construction Stage Image Analysis for Site Error Detection
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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.
Innovation Solution
A system comprising image sensors, processors, 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 of construction processes is used, then flexibility and adaptability are maintained, but productivity is low and cost overruns occur
Solution Approach 1:
The system enables automated self-monitoring of construction processes through image sensors and AI algorithms that automatically detect construction stages, identify errors, and generate reports without requiring manual intervention, thereby improving productivity while maintaining manageable complexity
Solution Approach 2:
Manual monitoring and analysis activities are replaced with an automated digital system comprising image sensors, processors, and communication devices that capture, analyze, and report on construction processes, significantly enhancing efficiency and reducing costs
2Measurement precision
If comprehensive image analysis is performed to identify all construction errors, then measurement precision is improved, but loss of time increases due to processing large volumes of image data
Solution Approach 1:
The image analysis process is segmented into distinct construction stages (e.g., foundation, framing, roofing), with the system automatically identifying and analyzing only the relevant stage in each image, thereby maintaining high detection accuracy while reducing overall processing time through selective analysis
Solution Approach 2:
The system performs preliminary classification of images to identify construction stages and error types before detailed analysis, allowing it to focus computational resources on critical areas and reduce total processing time while maintaining comprehensive error detection
Data Source
AI summary
Systems, methods and non-transitory computer readable media for exploring images of construction sites by construction stages are provided. For example, a plurality of images of a construction site may be accessed, each image of the plurality of images may correspond to a location in the construction site and a construction stage. In response to a received indication of location and a received indication of a construction stage, an image corresponding to the indicated location and to the indicated construction stage may be selected and presented. In response to a received indication of location and a received indication of a capturing time, an image corresponding to the indicated location and to the indicated capturing time may be selected and presented.


