AI-Powered Animal Behavior Tracking
Automatically detect, track, and analyze animal behavior with deep learning. Markerless pose estimation, real-time behavioral scoring, and publication-ready analytics — across species and paradigms.
99.2%
Tracking Accuracy
<5ms
Detection Latency
15+
Species Supported
200+
Behavioral Metrics
Key Capabilities
Markerless Pose Estimation
Deep learning models detect and track body parts without physical markers, paint, or tattoos. Eliminates handling stress and marker-induced behavioral artifacts.
Multi-Animal Tracking
Track multiple animals simultaneously in the same arena with individual identity preservation through occlusions and close interactions.
Real-Time Behavior Scoring
Automatically classify behaviors as they happen — grooming, rearing, freezing, social interaction, and custom-defined ethograms with frame-level precision.
Species-Agnostic Architecture
Pre-trained models for mouse, rat, zebrafish, drosophila, and primate. Transfer learning adapts to new species with minimal training data.
Automated Zone Analytics
Define virtual zones (center, periphery, arms, compartments) and automatically compute time, entries, transitions, and path metrics for each zone.
Publication-Ready Exports
CSV, Excel, and direct statistical exports. Automated trajectory plots, heatmaps, ethogram timelines, and Sholl-like spatial occupancy visualizations.
How It Works
ConductVision's AI behavior tracking system combines deep neural networks with classical computer vision to deliver accurate, reproducible behavioral analysis across experimental paradigms.
- Video Acquisition — Standard USB, GigE, or IP cameras. No specialized hardware required. Works with existing lab camera setups.
- Pose Detection — Deep learning models detect anatomical keypoints (nose, ears, body center, tail base, limbs) in every frame at up to 200 fps.
- Identity Tracking — Individual animals are tracked continuously through the session, even during close interactions and brief occlusions.
- Behavior Classification — Pose sequences are classified into behavioral categories using temporal models trained on expert-annotated datasets.
- Analytics & Export — Automated computation of distance traveled, velocity, zone metrics, behavioral bout durations, and user-defined custom metrics.
Supported Paradigms
ConductVision AI tracking supports all major behavioral paradigms used in preclinical research:
- Anxiety: Open Field, Elevated Plus Maze, Light-Dark Box, Elevated Zero Maze
- Learning & Memory: Morris Water Maze, Barnes Maze, Y-Maze, Radial Arm Maze, Novel Object Recognition
- Motor Function: Rotarod, Beam Walk, Grid Walk, Grip Strength, Gait Analysis
- Social Behavior: Three-Chamber, Resident-Intruder, Social Defeat, Tube Dominance
- Depression: Forced Swim Test, Tail Suspension, Sucrose Preference
- Conditioning: Fear Conditioning (contextual/cued), Conditioned Place Preference, Operant Chambers
- Pain: Von Frey, Hot Plate, Hargreaves, Formalin, Grimace Scale
Integration with ConductScience Hardware
ConductVision AI tracking integrates directly with ConductScience behavioral apparatus and ConductMaze automation software. TTL synchronization enables frame-accurate event alignment with electrophysiology, optogenetics, and calcium imaging recordings.
The complete pipeline — from custom-built maze hardware to automated experiment control to AI-powered behavioral analysis — is available from a single vendor with unified support.
See ConductVision in Action
Schedule a demo to see AI-powered behavior tracking with your specific species and paradigms. Upload a sample video and receive an analysis report.
