Automated Vehicle Damage Detection Using Image Comparison
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Solution Overview
Problem
Managing and maintaining a fleet of vehicles is challenging due to the need to continuously check for mechanical and electrical damage, which is time-consuming and inefficient.
Innovation Solution
An apparatus and method for automatically detecting vehicle damage using a damage detection unit that receives images from a camera, determines damage, and compares it to previous damage records to identify new or worsening damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checking of entire fleet vehicles is performed after every use, then damage detection accuracy is improved, but time consumption and operational efficiency deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image processing system. A camera captures images of the vehicle, and image processing unit automatically analyzes these images to detect damage, eliminating the need for manual visual inspection while maintaining high detection accuracy and significantly reducing time consumption.
Solution Approach 2:
The system creates a digital copy (image) of the vehicle's physical state and analyzes this copy to detect damage. By working with image data rather than physically inspecting the vehicle, the system achieves fast, accurate damage detection without manual intervention, resolving the contradiction between accuracy and time efficiency.
2Reliability
If comprehensive fleet vehicle inspection is conducted, then reliability of vehicle operation is improved, but productivity of fleet management deteriorates
Solution Approach 1:
The automated image processing system replaces time-consuming manual inspection processes, enabling comprehensive damage detection across the entire fleet without proportionally increasing time investment. This maintains high vehicle operational reliability while significantly improving fleet management productivity through rapid, automated analysis.
Solution Approach 2:
The system enables continuous damage monitoring of the fleet by rapidly processing images and identifying issues. This continuous automated inspection maintains reliable vehicle operation across the entire fleet while improving overall management efficiency, as the system can process multiple vehicles in sequence without manual intervention delays.
3Measurement precision
If detailed damage assessment is performed on each vehicle, then detection precision is improved, but complexity of the detection system increases
Solution Approach 1:
The patent employs an automated image processing system that uses computer vision algorithms to perform detailed damage assessment. This substitution of manual detailed inspection with automated digital analysis achieves high detection precision while managing system complexity through software-based solutions rather than complex mechanical or manual procedures.
Data Source
AI summary
The present disclosure provides an apparatus and method to automatically detect vehicle damage which minimises the time taken to detect damage per vehicle. For example, the action of damage detection is also performed with an action of causing the fixing of any detected damage, where appropriate. A damage detection unit is configured and arranged to detect damage on a vehicle. The damage detection unit includes a receiving unit arranged to receive an image from a camera and a determining unit arranged to determine damage on the vehicle based on the received image. Moreover, the damage detection unit includes a storing unit arranged to store information about damage previously determined to be present on the vehicle and a comparing unit arranged to compare the damage determined by the determining unit with the information about previous damage as stored by the storing unit.