Cat Toilet Usage Management System with Image-Based Identification
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Solution Overview
Problem
Managing the health conditions of multiple cats using a cat toilet system is challenging, as existing methods struggle to accurately identify individual cats, leading to potential missed health issues such as renal failure, especially since some cats dislike wearing RFID collars that cause stress.
Innovation Solution
A cat toilet usage management system that includes a camera for image capture, a litter box, and a cat identifying unit, which extracts features from images and uses majority voting to precisely identify cats, allowing for the monitoring of health status and early detection of urinary system diseases like renal failure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RFID collars are used to identify cats, then individual cat identification is achieved, but cats experience stress and may develop illness
Solution Approach 1:
The patent replaces the mechanical RFID collar system with an optical image recognition system. The camera captures images of cats, and the identification unit processes these images to determine cat identities without physical contact or wearable devices, thereby eliminating stress on the cats while maintaining identification accuracy
Solution Approach 2:
The patent introduces an intermediary image recognition system between the cat and the identification process. Instead of directly using RFID tags on cats, the system uses images as an intermediary medium to capture and process cat identification information, reducing direct interaction and stress on the animals
2Object-affected harmful factors
If image recognition is used to identify cats, then no collar is needed reducing stress, but multiple cats in images make identification difficult
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct stages: detecting individual cat regions in the image, extracting features from each detected cat, and then performing identification. This segmentation allows the system to handle multiple cats in a single image effectively by processing them separately
Solution Approach 2:
The patent uses majority voting among multiple detection results to determine the final cat identification. By performing excessive detection and then selecting the most frequent result, the system ensures accurate identification even when multiple cats are present, using the consensus of multiple partial results
3Adaptability or versatility
If multiple cats are monitored, then comprehensive health management is achieved, but identifying which cat used the toilet becomes challenging
Solution Approach 1:
The patent implements feedback through majority voting, where multiple detection results are fed back into the identification process. The system aggregates results from multiple image analyses and uses the most frequent identification as the final result, providing a robust feedback mechanism that improves accuracy for multi-cat monitoring
Data Source
AI summary
A cat toilet, etc., which specifies precisely one cat who entered a toilet for cat is provided. The present invention relates to a camera for capturing a plurality of images of a cat entering a cat toilet, a cat identifying process for identifying identifiers of one cat appearing in a plurality of images based on a plurality of images captured by the camera section, the cat identification processing section extracts each feature amount from a plurality of images, determines the identifier of one cat as the identification result for each image based on the feature amount, and makes a majority decision of the identification result based on this, identifiers of one cat appearing in a plurality of images are specified.