Vehicle HUD Inspection Device Using Multi-Axis Robot Vision
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Solution Overview
Problem
The manual inspection process of head-up displays (HUDs) in vehicles is inefficient, leading to increased cycle time and difficulty in managing quality due to the need for manual operation and alignment, which hampers the ability to detect and correct distorted images effectively.
Innovation Solution
An automated inspection device and method that includes a frame, a moving unit, a multi-axis robot, a vision camera, and a controller to align and inspect the HUD unit, capture images, and correct distortions by analyzing vision data, thereby streamlining the inspection and correction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection process is used for HUD units, then inspectors can directly observe and assess image quality, but the inspection cycle time increases and work efficiency deteriorates
Solution Approach 1:
The patent replaces the manual mechanical inspection process with an automated vision system. A camera captures images of the HUD display on the windshield, and a processor automatically analyzes the captured images to detect distortion, brightness, and other quality parameters, eliminating the need for manual observation and significantly reducing inspection cycle time.
Solution Approach 2:
The vision system creates a digital copy of the HUD image displayed on the windshield by capturing it with a camera. This digital copy is then processed and analyzed to assess image quality, allowing for automated measurement and comparison against reference standards without requiring physical manual inspection.
2Reliability
If manual inspection process is used for HUD units, then inspectors can assess quality, but difficulty in managing inspectors and quality increases
Solution Approach 1:
The automated inspection system provides objective feedback by capturing images and processing them through standardized algorithms. The system compares captured HUD images against reference patterns and quality criteria, generating consistent, measurable results that eliminate subjective variations in manual inspection and simplify quality management through data-driven decision-making.
Solution Approach 2:
The patent replaces complex human judgment and manual assessment processes with an automated vision processing system. The processor executes standardized algorithms to evaluate image quality parameters, replacing the need for trained inspectors and simplifying quality management through consistent, repeatable automated assessments.
3Measurement precision
If manual alignment and preparation processes are performed for HUD inspection, then proper positioning can be achieved, but the inspection process becomes more time-consuming
Solution Approach 1:
The system performs preliminary positioning by capturing the image and automatically determining the HUD display area location and orientation through image processing. The processor identifies key features and calculates positioning parameters from the captured image, eliminating the need for manual alignment adjustments and reducing preparation time while maintaining positioning accuracy.
Data Source
AI summary
The inspection device of a head-up display (HUD) for a vehicle automatically inspects and corrects images projected on a windshield glass of the vehicle by an HUD unit in the vehicle and may include i) a frame where the vehicle is conveyed in-and-out, ii) a moving unit coupled to the frame and reciprocating in the front-and-rear and left-and-right directions of the vehicle, iii) a multi-axis robot mounted on the moving unit and configured to move the vehicle in an up-and-down and back-and-forth direction, iv) a vision camera mounted on an arm of the multi-axis robot and digitally capturing images projected on the windshield glass as vision data, and v) a controller inspects whether the HUD unit operates normally and controls operation of the HUD unit by analyzing the vision data acquired from the vision camera.