Intelligent animal research cage IC-XM/R
pharmacologyfor preclinical researchmodular

Intelligent animal research cage - IC-XM/R - Shanghai TOW Intelligent Technology - pharmacology / for preclinical research / modular
Intelligent animal research cage - IC-XM/R - Shanghai TOW Intelligent Technology - pharmacology / for preclinical research / modular
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Characteristics

Applications
for preclinical research, pharmacology
Configuration
modular
Other characteristics
intelligent

Description

The Smart Home Cage System is an automated animal behavior monitoring platform integrating high-resolution cameras, computer vision algorithms, and behavioral analysis software. It is primarily designed for the continuous, unobtrusive, real-time monitoring and analysis of behavioral activities of multiple laboratory animals (e.g., mice) housed within a single cage. Utilizing an overhead high-definition camera to capture behavioral video, the system employs advanced image recognition and deep learning algorithms to automatically identify and track key anatomical points of each animal, such as the left ear, right ear, head, body center point, and tail. This enables precise individual differentiation and behavioral classification. This system finds broad application in fields such as neuroscience, pharmacology, behavioral science, sleep research, and metabolic disease model evaluation. It delivers objective, quantifiable, and reproducible behavioral data, significantly enhancing experimental efficiency and data scientific rigor. I. Multi-Target Individual Identification and Tracking II. Non-Invasive Behavioral Monitoring  III. High-Precision Behavior Recognition Algorithms IV. Multi-Functional Data Acquisition and Analysis V. Infrared Imaging Support System Measured Parameters: locomotion, sleep, feeding behavior, drinking behavior parameters and social & exploratory behavior. Multi-Target Individual Identification and Tracking The system automatically identifies and distinguishes multiple animals (e.g., 1-5 mice) within the same cage. By tracking key point coordinates (head, ears, tail), it achieves individual-level behavioral trajectory tracking.

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