Automated Homecage Monitoring via Video Pose Estimation
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Solution Overview
Problem
Current methods for monitoring animal behavior in homecages are limited by manual observation bias, lack of continuous monitoring, especially during dark periods, and the stress caused by handling animals. Existing technologies, such as running wheels and RFID tags, have limitations in spatial and temporal resolution and can affect animal behavior and disease progression.
Innovation Solution
An automated system for monitoring and analyzing animal behavior in a homecage environment, which includes methods for processing video frames to quantify animal activity, and an animal behavior analysis system using predictive models to predict animal poses and states. This system enables continuous monitoring, reduces observer bias, and allows for the automatic classification of sleep-wake states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring by animal care staff is used, then monitoring can be performed, but observer bias is introduced and continuous monitoring is not provided
Solution Approach 1:
The patent replaces manual mechanical observation with automated video recording and image processing systems. Cameras capture animal behavior continuously, and computer algorithms automatically analyze the video data to detect motion and classify behaviors, eliminating observer bias while providing continuous monitoring capability
Solution Approach 2:
The system enables self-service monitoring where the animal behavior is automatically detected and analyzed without requiring human operators. The image processing algorithms independently identify animal presence, motion patterns, and behavioral states from video frames, allowing the system to serve itself in monitoring animal welfare
2Reliability
If handling of animals in homecages is performed, then welfare assessment can be conducted, but stress is caused to animals
Solution Approach 1:
The patent replaces physical handling and direct observation with remote video monitoring and automated image analysis. The system uses cameras and computer vision algorithms to assess animal welfare without physical contact, thereby eliminating stress caused by handling while maintaining reliable welfare assessment capability
Solution Approach 2:
The system introduces video recording and image processing as an intermediary between the observer and the animal. Instead of direct human-animal interaction, the video system acts as a mediator that captures and transmits behavioral information, allowing welfare assessment without direct contact that causes stress
3Productivity
If running wheels are used for homecage monitoring, then activity measurement is enabled, but animal behavior and disease progression are affected
Solution Approach 1:
The patent extracts the monitoring function from physical apparatus like running wheels and integrates it directly into the homecage environment using video cameras. This allows activity measurement without requiring animals to interact with separate monitoring devices, eliminating the behavioral effects caused by running wheels while maintaining monitoring efficiency
Solution Approach 2:
The video monitoring system serves multiple functions simultaneously: it monitors general activity, detects specific behaviors, assesses welfare states, and tracks disease progression. This multi-functional approach replaces the single-purpose running wheel while providing more comprehensive monitoring capability
4Extent of automation
If video monitoring systems are used, then continuous monitoring is provided, but automatic prediction of animal behavior is not achieved
Solution Approach 1:
The patent replaces manual video review with automated image processing and machine learning algorithms. The system automatically analyzes video frames to detect animal presence, classify behaviors, and predict future states without human intervention, achieving both continuous monitoring and automatic prediction while managing complexity through algorithmic processing
Data Source
AI summary
Computer controlled systems and methods of an automated homecage monitoring system predict a state of an animal and of its homecage. The prediction of the state of the animal may be based on a pose estimate of the animal, and at least one sensor input from an at least one sensor. The pose estimate may include a graph of connected nodes, the nodes representing coordinates of the sensor input corresponding to predicted indicia on the animal's body. The animal state may include a behavioral state of an animal, a social state of an animal, a position state of an animal, a sleep state of an animal, and a biological state of an animal. The automated homecage monitoring system may allow for animal state data to be reported for an animal or animals in situ.