Inspection Robot Fault Detection for Tiled LED Display Screens
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Solution Overview
Problem
The increasing size of display systems, comprising thousands of LED screens, makes manual inspection labor-intensive and inefficient, with low detection accuracy and efficiency due to the difficulty in coordinating visual inspections and the limitations of bird's-eye views.
Innovation Solution
An automated fault detection method and device using an inspection robot that photographs the display screen while moving, acquiring images, determining coordinates based on a preset system, and comparing them with pre-set fault point coordinates to identify fault types, thereby improving detection efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual visual inspection or bird's-eye view through telescope is used, then detection can be performed, but labor intensity is high and coordination is difficult
Solution Approach 1:
The patent replaces manual visual inspection and telescope-based bird's-eye view with an automated inspection robot equipped with image acquisition equipment. The robot automatically captures images of the display screen and processes them through coordinate systems and fault point comparison algorithms, eliminating the need for manual operation while significantly improving detection efficiency and accuracy.
2Area of stationary object
If bird's-eye view through telescope is used, then overview can be obtained, but most issues cannot be revealed
Solution Approach 1:
The patent segments the detection process into multiple stages: first capturing an overview image of the entire display screen, then automatically identifying fault points through coordinate analysis, and finally providing detailed location information. This segmentation allows the system to maintain both broad coverage and high precision, as the image acquisition equipment captures the full screen while the coordinate system methodology enables precise fault point identification.
3Reliability
If manual inspection is used for large display systems with thousands of LED screens, then detection can be performed, but detection efficiency is low
Solution Approach 1:
The patent implements a self-service detection system where the inspection robot autonomously navigates, captures images, processes coordinates, identifies fault points, and generates reports without human intervention. The system compares detected fault points against preset fault point coordinate sets to automatically determine fault types, enabling the display screen system to self-diagnose issues and significantly improving detection efficiency for large-scale LED displays.
Data Source
AI summary
Disclosed in embodiments of the present invention are a fault detection method and device for a display screen, and an inspection robot. The method includes: obtaining an image to be detected, wherein the image is obtained by photographing a tiled display screen by an inspection device in a moving process, the image is a display image of any display screen in the tiled display screen, the display screen includes a plurality of LED lamp beads, and each LED lamp bead corresponds to one imaging point; on the basis of a preset coordinate system, determining a coordinate set to be detected formed by imaging coordinates of imaging points having the same RGB value in the image; and respectively comparing the coordinate set to be detected with at least one preset fault point coordinate set, and if the comparison is successful, determining a fault type of the display screen.