Position and velocity at full resolution
X/Y coordinates, instantaneous velocity, and acceleration at every acquired frame. Enables post-hoc re-binning to any temporal window.
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← Capabilities
Precision Tracking
High-resolution behavioral tracking at 30 frames per second
Capture rapid behavioral transitions — startle responses, rearing onset, grooming bouts — that lower frame rates miss entirely.
30+fps
Acquisition frame rate
96.5-100%
Detection recall
3x
Frame rate vs conventional systems
24
Validated paradigms
The problem
Low frame rates discard rapid behavioral events
Most commercial systems acquire at 8-11 fps. At those rates, grooming bouts shorter than 300 ms are undetectable, locomotor velocity is systematically underestimated, and fast transitions between behavioral states are collapsed into single frames.
- Grooming episodes under 300 ms fall between frames and are never recorded
- Locomotor velocity is underestimated when sampling is too coarse to resolve movement trajectories
- Startle latencies and rapid head movements require sub-33 ms temporal resolution to quantify accurately
The solution
Full temporal resolution on standard hardware
ConductVision acquires and processes at 30+ fps on a standard workstation — no GPU cluster required. Sub-second behavioral events are detected in their native timescale, and true kinematic measures (instantaneous velocity, acceleration) are computed from dense position data.
- 30+ fps acquisition and processing on consumer-grade hardware
- Sub-second event detection preserves grooming bouts, startle responses, and transition dynamics
- True kinematic profiles computed from dense temporal sampling — velocity, acceleration, angular change
Endpoints
Dependent variables extracted at full temporal resolution
Sub-second behavioral events
Onset and offset timestamps for rapid events — startle, rearing initiation, grooming bouts — with frame-level precision.
CSVAnnotated MP4
Motion energy profiles
Pixel-change motion energy computed per frame, providing a continuous index of overall activity independent of tracking coordinates.
CSV
Applications
Paradigms that benefit from high temporal resolution
Acoustic startle and prepulse inhibition
Startle amplitude and latency require frame-level temporal precision. At 30 fps, peak startle onset is resolved to within 33 ms — sufficient for PPI quantification.
Measures
- Startle amplitude
- Startle latency
- Prepulse inhibition ratio
Open field locomotor assessment
Total distance, velocity distributions, and thigmotaxis computed from dense position data. High frame rate prevents systematic underestimation of path length.
Measures
- Total distance traveled
- Velocity distribution
- Thigmotaxis index
Rotarod and beam walk motor scoring
Latency to fall, foot slip frequency, and walking speed on balance beam — all dependent on resolving individual steps and weight shifts.
Measures
- Latency to fall
- Foot slip count
- Beam traversal speed
Social interaction rapid events
Brief social contacts, approach-withdrawal sequences, and anogenital investigation bouts often last under one second. High frame rate captures complete event dynamics.
Measures
- Contact bout duration
- Approach latency
- Interaction frequency
Compared to typical systems
How ConductVision differs
| Feature | ConductVision | Typical systems |
|---|---|---|
| Acquisition frame rate | 30+ fps | 8-11 fps typical |
| Sub-second event detection | Yes — grooming, startle, rearing | Limited or absent |
| Velocity accuracy | True instantaneous kinematics | Underestimated at low frame rates |
| Hardware requirement | Standard workstation | Often requires dedicated hardware |
| Annual license | $1,490 | $8,000+ |
Related capabilities
Real-Time Analysis
Live behavioral metrics during acquisition — distance, velocity, and zone occupancy update as the session runs.
Pose Estimation
Multi-keypoint body part tracking — head, paws, tail, body center — with pretrained and custom model support.
Gait Analysis
HMM-based stride detection from standard video with per-paw metrics — no treadmill or pressure plate required.
See the difference frame rate makes
Upload a recording and compare the behavioral events detected at 30 fps versus conventional frame rates.
