Imaging Window Cleaning Detection for Milking System Image Quality
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Solution Overview
Problem
Existing automatic milking installations face challenges in maintaining image registering equipment cleanliness due to dirt accumulation, which affects performance and reliability, particularly in environments where frequent cleaning is not feasible.
Innovation Solution
A system and method for image data quality assurance that automatically detects and records cleaning actions on the imaging system's front window using image analysis, including manual and automatic methods, and generates reports to help farmers optimize cleaning schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual cleaning is performed to remove dirt from the imaging system, then image quality is improved, but time is lost during cleaning operations
Solution Approach 1:
The system uses the imaging system itself to detect dirt on its own front window, and the robot is guided to perform cleaning autonomously based on detected dirt levels, eliminating the need for external monitoring and manual intervention
Solution Approach 2:
The system continuously monitors dirt accumulation on the imaging system front window and provides feedback to control the cleaning process, enabling optimized cleaning schedules based on actual dirt levels rather than fixed intervals
2Reliability
If automatic cleaning is performed during operation in a rotary milking parlor, then image quality is maintained, but the time window between milkings is insufficient
Solution Approach 1:
Instead of requiring complete cleaning during the brief interval between milkings, the system performs partial cleaning actions or pre-positioning during idle moments, with full cleaning executed when time permits
Solution Approach 2:
The system detects dirt accumulation and initiates cleaning preparations during idle periods before the imaging system is critically affected, allowing cleaning to be performed during subsequent available time windows
3Productivity
If cleaning is performed only between milking sessions, then operational time is preserved, but cleaning frequency is insufficient for large or dirty facilities
Solution Approach 1:
The imaging system continuously monitors dirt levels on its front window and provides feedback to the control system, which then determines optimal cleaning timing and frequency based on actual contamination levels rather than fixed schedules
Solution Approach 2:
The system autonomously monitors its own imaging system condition and triggers cleaning operations based on detected dirt levels, eliminating the need for external monitoring and enabling cleaning frequency optimization
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
Enhances the reliability of image registration by tracking cleaning activities, allowing farmers to adjust cleaning frequencies based on detected dirt levels and system performance, thereby maintaining optimal image quality.
Implementation Method 1
image data designating an intensity of light which is estimated to be reflected from the third object that moves and/or is positioned relative to the front window in a way deemed to cause dirt to be removed therefrom
Data Source
AI summary
An imaging system registers image data (Dimg) in connection with an installation performing at least one action relating to an animal. A system for image data quality assurance contains a control unit and a digital storage unit. The control unit obtains image data (Dimg) registered by the imaging system when the installation is in an idle mode. The control unit analyzes the obtained image data (Dimg) to determine if a cleaning action to remove dirt (D) from a front window of the imaging system has been performed. If it is determined that such a cleaning action has been performed, control unit (120) causes a point in time for the cleaning action to be recorded in the digital storage unit (130) for use performance tracking of the installation in conjunction with the cleaning actions.