AI-Powered Behavioral Analysis

Behavioral Analysis of the Future with AI Technology

ConductVision is a cutting-edge AI animal behavior tracking system designed for real-time analysis of rodent activity. It helps researchers track subtle behavioral patterns using precision tools and machine learning technology.

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95-99% Pose Precision

10+ Species

Local Desktop Execution

Pose Estimation 99% Accuracy

Real-Time 30 FPS

Multi-Species 10+ Animals

Research Areas

Find your paradigm

34 validated behavioral paradigms across rodents, zebrafish, and drosophila.

Barnes maze Dry-land spatial memory with automated escape latency and path analysis.

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Elevated plus maze Open and closed arm preference scoring with synchronized trajectories.

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Head Dip Behavior Protected and unprotected head-dip scoring for anxiety and risk assessment.

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Light Dark Box Anxiety-linked transition counts and zone occupancy for rodents.

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Morris water-maze Probe trial analysis, path efficiency, and latency metrics in one view.

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Open Field Object interaction overlays paired with arena-wide locomotion scoring.

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Open Field Distance, center-time, thigmotaxis, and exploratory heat maps.

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Social Interaction Analysis Quantify social preference, investigation, and chamber occupancy.

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Automated Y Maze Alternation, decision timing, and working memory performance.

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T Maze Choice latency and side bias tracking for training and reversal studies.

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Zero Maze Circular anxiety assay scoring with uninterrupted path continuity.

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Step Down Avoidance Event timing and posture segmentation for stress-response studies.

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8 Arm Radial Maze Working and reference memory metrics across repeated sessions.

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Operant Conditioning Reward-based learning paradigms with lever press and pellet delivery tracking.

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Active Place Avoidance Spatial avoidance learning with rotating arena and shock zone analysis.

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Step Down Avoidance Passive avoidance memory testing with step-down latency measurement.

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Learned Helplessness Escape failure analysis and behavioral despair quantification.

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Automated Y Maze Automated alternation scoring with motorized doors and session control.

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Social Interaction Analysis Multi-animal proximity, following, and social preference metrics.

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Fear Conditioning Freeze detection, tone/context discrimination, and extinction tracking.

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Looming Visual Innate defense response to overhead visual threat stimuli.

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Activity wheel Running wheel metrics for circadian rhythm and voluntary exercise studies.

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ConductVision GaitMaster HMM-based paw segmentation with stride, coordination, and duty cycle metrics.

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Grooming Automated grooming bout detection and microstructure analysis.

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RAPC Radial arm preclinical testing with configurable arm access patterns.

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Visual Water Maze Track preference shifts and route learning in aquatic arenas.

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Zebrafish Y Maze Measure alternation behavior and spatial novelty preference.

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Zebrafish SwimTunnel Pair locomotor behavior with controlled current challenges.

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Zebrafish 5 Choice Decision latency and chamber occupancy across repeated trials.

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Zebrafish LightDark Maze Anxiety-sensitive occupancy and transition metrics in light-dark paradigms.

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Drosophila Visual & Olfactory Apparatus Pair sensory stimuli with route selection and event timing.

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Drosophila Heat Maze Temperature-driven navigation and preference detection for insect models.

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Drosophilia Maze Array Run scalable screening workflows across many simultaneous arenas.

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Drosophila Shallow Chamber Fine locomotor tracking for compact insect behavior assays.

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Platform

Built for behavioral research workflows

45 validated capabilities across tracking, analysis, experiment setup, and data compliance.

Advanced module

Gait Analysis

Uses Hidden Markov Model (HMM) for smooth temporal segmentation of paw activities.

Paw details: duration, distance, base of support
Gait parameters: stride length, duration, duty cycle
Automatic tracking of each key body point
Easy setup with an open field
Enhanced accuracy with AI tracking
Advanced result metrics

Model performance

ConductVision Model Performance

Publication-ready behavioral data. High precision reduces false positives, shortens cleanup time, and lets your team focus on the biology.

Metric	Score	Description
Pose Precision	95–99%	Frame-level keypoint accuracy across body parts
Detection Precision	>93%	True positive rate for animal detection per frame
Tracking Recall	>96%	Proportion of true events captured without loss
Identity Preservation	>98%	Correct identity maintained across multi-animal sessions
Frame Rate	30+ fps	Real-time inference on consumer GPU hardware
Species Supported	10+	Rodent, zebrafish, drosophila, avian, and more