Animal Part Positioning Using Dual-Mode Image Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for determining the position of an animal part in an animal space face a trade-off between processing speed and image quality, with faster techniques offering lower quality results and higher quality techniques requiring more time and processing power, and are further complicated by environmental factors like temperature and humidity.
Innovation Solution
A method using a 3D sensor device to obtain 2D images with depth information, employing two preprocessing modes and position determining techniques to assess image quality, allowing for the selection of the most suitable technique based on image differences, ensuring quick and accurate positioning of animal parts for efficient animal-related actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high quality image processing techniques are used to determine animal part position, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system dynamically selects between a first image processing technique (faster, lower precision) and a second image processing technique (slower, higher precision) based on real-time conditions. The selection is made by comparing image characteristics from a first preprocessing mode and a second preprocessing mode, allowing the system to adaptively balance processing speed and position determination accuracy according to current environmental and image quality conditions.
2Speed
If fast image processing techniques are used to determine animal part position, then processing speed is improved, but measurement precision deteriorates
Solution Approach 1:
The system changes processing parameters by selecting between different preprocessing modes (first preprocessing mode with first noise reduction mode, and second preprocessing mode with second noise reduction mode) and different position determining modes. This allows the system to adjust the balance between processing speed and measurement precision dynamically, using the faster first technique when conditions permit and the more accurate second technique when higher precision is required.
3Reliability
If multiple preprocessing modes are implemented to assess image quality, then reliability of position determination is improved, but device complexity increases
Solution Approach 1:
The image processing system is segmented into distinct preprocessing modes and position determining modes. The first preprocessing mode and second preprocessing mode are separated, each with their own noise reduction and animal part identification algorithms. This segmentation allows the system to evaluate image quality through comparison while maintaining modular, manageable complexity in each individual processing path.
Data Source
AI summary
The present invention provides a method of determining a position of an animal part in an animal space in at least one direction. The method comprises: • obtaining a two-dimensional image containing depth information (SEN) • preprocessing the image according to a first preprocessing mode (PP1), to thereby provide a first preprocessed image, • preprocessing the image according to a second preprocessing mode (PP2), to thereby provide a second preprocessed image, • comparing (COM) the first preprocessed image and the second preprocessed image to obtain at least one image difference, • if the at least one image difference is below or equal to a respective predetermined threshold, processing the first preprocessed image according to a first position determining mode (PR1), and • if the at least one image difference is above the predetermined threshold, processing the second preprocessed image according to a second position determining mode (PR2), to thereby provide the position of the animal part. In case there are available a fast but not very accurate processing mode, and a slower but more accurate mode, this allows to suitably select one of these modes.