Wheel Alignment Imaging Sensor Calibration Under Vibration
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Solution Overview
Problem
Current four-wheel aligners and calibration equipment are susceptible to precision decreases or failures due to external forces like vibration or impact, leading to miscorrection of vehicle wheels or ADAS hardware, which can cause serious traffic accidents.
Innovation Solution
A vehicle detection system comprising a support, a machine vision module with an image acquisition device, a failure sensor for detecting position changes, and a controller to determine if calibration is needed based on motion parameter signals, thereby preventing miscorrection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current four-wheel aligner or calibration equipment is used for vehicle detection, then wheel positioning parameters can be detected, but the measurement precision decreases or fails when disturbed by external forces such as vibration, impact or strike
Solution Approach 1:
The failure sensor detects position changes of the image acquisition sensor before actual detection occurs, allowing the system to identify potential measurement errors in advance and prevent miscorrection by warning users to recalibrate the equipment
Solution Approach 2:
The failure sensor continuously monitors the position of the image acquisition sensor and provides feedback to the controller, which then determines whether calibration is needed, creating a closed-loop system that maintains measurement precision by detecting and responding to position deviations caused by external disturbances
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system ensures real-time determination of the need for calibration, preventing miscorrection and potential accidents by locking detection functions and outputting warning signals when precision is compromised.
Implementation Method 1
the image acquisition device comprises an image acquisition sensor for acquiring an image having relevant parameters of hardware to be detected on a vehicle
Implementation Method 2
the failure sensor includes at least one of an acceleration sensor, a pressure sensor, and a gyroscope
Implementation Method 3
the failure sensor includes at least one of an acceleration sensor, a pressure sensor, and a gyroscope
Data Source
AI summary
A vehicle detection system includes a support, machine vision modules, a failure sensor, and a controller. Each machine vision module includes image acquisition devices each including s an image acquisition sensor for obtaining related parameters of hardware to be detected of a vehicle. The failure sensor is used for acquiring position change information of the image acquisition sensor and outputting a motion parameter signal comprising the position change information. The controller is used for determining, according to the motion parameter signal, whether the position of the image acquisition sensor needs to be calibrated. In the using process of the vehicle detection system, the controller can determine in real time whether the position of the image acquisition sensor needs to be calibrated, so as to avoid a miscorrection caused by detecting and correcting the vehicle without precalibration after the measurement and calculation precision of the vehicle detection system is reduced.