Machine Vision Building Board Installation for Flatness and Angle Control
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Solution Overview
Problem
The installation of building boards, particularly high-altitude ones, is inefficient, inaccurate, and prone to unevenness due to manual labor, requiring scaffolding or multiple people, and lacks precise height and angle control.
Innovation Solution
A machine vision-based installation method and system that uses a camera to capture images, identify feature points, determine flatness through local optimal algorithms, and adjust the installation posture of building boards for accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual installation methods are used for building boards, then the installation process is simple and requires minimal equipment, but the installation efficiency is low and construction period is long
Solution Approach 1:
The patent replaces manual mechanical installation operations with an automated robot system equipped with machine vision capabilities. The robot uses cameras to capture images of building boards, processes these images to determine installation parameters, and automatically adjusts the robot's positioning and orientation to install boards with high precision, thereby eliminating manual labor while maintaining operational simplicity through automation.
Solution Approach 2:
The patent creates a virtual copy of the physical building board installation environment through machine vision. By capturing images of the building boards and their spatial relationships, the system builds a digital model that allows for precise calculation of installation parameters without physically measuring each board manually, enabling automated positioning and installation.
2Manufacturing precision
If manual installation is used, then equipment requirements are minimal, but installation accuracy and levelness are poor
Solution Approach 1:
The patent replaces manual measurement and visual inspection with an automated machine vision system. The system uses cameras to capture images of building boards, processes these images to extract precise positional and orientational data, and calculates optimal installation parameters automatically, achieving high installation accuracy without requiring complex manual measurement procedures.
Solution Approach 2:
The patent implements a feedback mechanism where the machine vision system continuously monitors the installation process. By capturing images of the building boards during installation and comparing them against the planned configuration, the system can detect deviations and automatically adjust the robot's positioning to maintain precise installation accuracy throughout the entire installation process.
3Manufacturing precision
If manual installation of large area building boards is performed, then labor flexibility is high, but frequent review of height and angle is required to ensure levelness
Solution Approach 1:
The patent replaces repeated manual visual inspection with an automated machine vision system that continuously monitors installation quality. The system captures images of the building boards and automatically analyzes their height and angle parameters, eliminating the need for frequent manual reviews while ensuring consistent surface levelness across large installation areas.
Solution Approach 2:
The patent implements continuous monitoring of the installation process through the machine vision system. Rather than performing discrete manual inspections at various stages, the system operates continuously during installation, constantly capturing and analyzing images to maintain precise control of building board positioning and orientation, thereby ensuring levelness without interrupting the installation workflow.
4Productivity
If multiple people collaborate for installation, then installation capability is enhanced, but installation efficiency decreases due to coordination requirements
Solution Approach 1:
The patent replaces multi-person collaborative manual installation with a single automated robot system. The robot independently performs all installation tasks including positioning, lifting, and securing building boards, eliminating the need for coordination between multiple workers while maintaining the full capability to handle complex installation scenarios through integrated sensor-processing-control systems.
Data Source
AI summary
The present application relates to a machine vision based installation method, system, and storage medium for building boards, and the machine vision based installation method for building boards includes: obtaining a first operation image of a target building board; identifying the first operation image and obtaining feature points of the target building board; obtaining the flatness detection result of target building board based on the feature points; installing building boards based on the flatness detection result and local optimal algorithm.