Vehicle Window Image Detection for Automatic Fog and Debris Cleaning
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Solution Overview
Problem
Existing vehicle window cleaning systems require manual operation to address fog, frost, and foreign objects like leaves or dust, which reduces driving efficiency and increases the risk of accidents.
Innovation Solution
An automatic vehicle window cleaning method that uses image processing to detect fog, frost, and foreign objects on the vehicle window. This method involves obtaining a vehicle window image, determining a dark channel image to detect fog, and analyzing RGB values in consecutive frames to identify foreign objects. A cleaning tool is then controlled to remove these obstructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operation is used to control defogging and cleaning systems, then the driver can remove fog and foreign objects, but driving efficiency is reduced and the risk of accidents increases
Solution Approach 1:
The system automatically detects fog and foreign objects on the vehicle window and triggers the appropriate cleaning or defogging operations without requiring manual driver intervention. The detection module continuously monitors the window condition and autonomously activates the defogging system or windshield wiper when obstructions are identified, allowing the system to serve itself.
2Productivity
If manual operation is required to clean the vehicle window, then the driver can remove foreign objects, but cleaning efficiency is reduced
Solution Approach 1:
The patent replaces the mechanical manual operation system with an automated detection and control system. The detection module uses image processing to identify foreign objects, and the control module automatically activates the windshield wiper or other cleaning apparatus, substituting manual mechanical action with an automated electromechanical system.
3Ease of operation
If the driver manually operates cleaning apparatus, then foreign objects can be removed, but the driving process becomes inconvenient
Solution Approach 1:
The detection module continuously and preliminarily monitors the vehicle window condition during driving, identifying foreign objects or fog before they significantly obstruct the driver's view. The system is prepared to activate cleaning functions immediately upon detection, eliminating the need for the driver to manually check and clean the window.
4Extent of automation
If automatic detection is implemented to identify foreign objects, then cleaning can be automated, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a detection module that captures and processes images of the vehicle window, a control module that analyzes detection data and makes decisions, and execution modules (defogging system, windshield wiper) that perform physical actions. This segmentation allows each module to be optimized independently and simplifies the overall system architecture.
Data Source
AI summary
An automatic vehicle window cleaning method and apparatus includes obtaining a vehicle window image; determining a dark channel image corresponding to a single frame of vehicle window image; further determining, based on a quantity of pixels whose gray values exceed a preset gray threshold in the dark channel image and/or definition of the dark channel image, that a first-type foreign object exists on a vehicle window, and/or determining, based on RGB values of pixels in i consecutive frames of vehicle window images, that a second-type foreign object exists on the vehicle window, and controlling a cleaning tool to remove a foreign object. The foreign object includes the first-type foreign object and/or the second-type foreign object.