UAV Painting System with Computer Vision for Real-Time Image Rendering
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Solution Overview
Problem
Current methods lack a system or method to render drawings on target structures using drones with real-time monitoring of the painting process, which is essential for ensuring accuracy and aesthetic quality.
Innovation Solution
A system and method utilizing an unmanned aerial vehicle (UAV) equipped with a paint fluid dispensing system, controlled by a controller device that receives navigation signals to traverse a flight path and apply paint fluid on a target structure, with computer vision technology for real-time monitoring and refinement of the painting process to match a target image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional painting methods are used on building structures, then painting can be performed, but it is dangerous and expensive with difficult construction issues
Solution Approach 1:
The patent replaces traditional mechanical painting systems (ladders, scaffolding, cranes) with an unmanned aerial vehicle (drone) that carries a paint dispensing system. The drone flies autonomously along a programmed path to apply paint to the building structure, eliminating the need for complex mechanical support structures and dangerous human positioning.
Solution Approach 2:
The drone system is self-navigating and self-controlled, executing pre-programmed flight paths and painting sequences without requiring human operators to physically position themselves on the building. The system autonomously manages its own operation, including navigation, paint application timing, and path adjustment.
2Manufacturing precision
If traditional painting methods are used, then painting can be performed, but aesthetic conception issues must be decided and quality control is difficult
Solution Approach 1:
The system incorporates real-time computer vision monitoring that captures images of the building surface during the painting process. The captured images are processed to compare the actual painting result against the desired aesthetic pattern, providing feedback that allows for real-time adjustments to ensure quality and aesthetic conformity.
Solution Approach 2:
The desired aesthetic pattern or target image is pre-programmed into the system before painting begins. The drone executes this pre-defined pattern with high precision, ensuring that the aesthetic requirements are met from the start without requiring extensive post-painting adjustments or quality control interventions.
3Measurement precision
If real-time monitoring of painting is implemented, then painting accuracy can be ensured, but system complexity increases
Solution Approach 1:
The system uses an intermediary computer vision processing system that acts as a mediator between the physical painting process and the control system. Cameras capture images of the painting in real-time, and image processing algorithms analyze the results, providing measurement data back to the control system for accuracy verification and adjustment.
Data Source
AI summary
A system and method for painting a structure. The system comprises: a computer vision processing system configured to obtain images of a target structure and generate first instructions signals for real time communication to an unmanned aerial vehicle (UAV) having a paint fluid dispensing system provided thereon; a control device at the UAV responsive to received the first instruction signals for controlling real time navigating of the UAV to a location at the target structure; and the computer vision processing system configured to generate second instruction signals for real time communication to the UAV, wherein the control device at the UAV is configured to automatically actuate the paint fluid dispensing system to apply a paint fluid at the location on the target structure in response, the received second instruction signals configuring the UAV to render a desired visual image on the target structure.