Video Tracking Cameras
Laboratory video tracking cameras for automated behavioral analysis, offering location, speed, and path tracking across multiple maze and activity apparatus configurations.
| size_description | small in size |
| weight_description | lightweight |
| camera_types | Standard, Advanced, High Speed |
| tracking_capabilities | location, speed, path tracking |
| behavioral_tracking | grooming, burrowing, social interactions |
| compatible_apparatus | Open Field, Y Maze, Barnes Maze, activity products, social apparatus, activity cages, vivariums, home cages |
Video tracking cameras designed for automated behavioral analysis in laboratory research environments. These cameras provide real-time monitoring and data collection for animal movement, location tracking, and behavioral pattern analysis across multiple experimental apparatus configurations.
Available in three configurations - Standard (2 megapixel), Advanced (5 megapixel), and High Speed variants - to accommodate different research requirements and frame rate needs. The cameras integrate with maze systems, activity chambers, and social interaction apparatus to enable quantitative analysis of locomotion, exploration patterns, and complex behaviors including grooming, burrowing, and social interactions.
How It Works
Video tracking cameras utilize digital image processing to detect and monitor animal subjects within defined experimental spaces. The system captures video frames at specified intervals and applies contrast-based detection algorithms to identify animal subjects against background environments. Position coordinates are extracted from each frame and processed to calculate movement parameters including velocity, acceleration, and path trajectories.
The cameras employ pixel-to-distance calibration based on apparatus dimensions to convert image coordinates to real-world measurements. Advanced models provide higher resolution imaging for improved detection accuracy, while high-speed variants offer increased frame rates for detailed movement analysis. Data streams are processed in real-time to generate position tracking files compatible with behavioral analysis software platforms.
Behavioral recognition algorithms analyze movement patterns to identify specific behaviors such as grooming episodes, burrowing activity, and social interactions based on position changes, movement velocity, and zone occupancy patterns.
Features & Benefits
size_description
- small in size
weight_description
- lightweight
camera_types
- Standard, Advanced, High Speed
tracking_capabilities
- location, speed, path tracking
behavioral_tracking
- grooming, burrowing, social interactions
compatible_apparatus
- Open Field, Y Maze, Barnes Maze, activity products, social apparatus, activity cages, vivariums, home cages
Cameras
- Advanced camera
- High Speed camera
- Standard camera
Behavioral Construct
- Locomotor activity
- Spatial exploration
- Anxiety-like behavior
- Learning and memory
- Social interaction
- Grooming behavior
- Motor coordination
Automation Level
- fully-automated
Research Domain
- Addiction Research
- Aging Research
- Anxiety and Depression
- Behavioral Pharmacology
- Learning and Memory
- Motor Function
- Neuroscience
- Social Behavior
Species
- Gerbil
- Hamster
- Mouse
- Rat
- Guinea pig
Interface
- USB 2.0
Sensor
- Advanced CMOS Photosensitive Chip 1/2.7 inch
Resolution
- 1920 x 1080
Weight
- 17.64 kg
Dimensions
- L: 5.0 mm
- W: 5.0 mm
- H: 5.0 mm
Comparison Guide
| Feature | This Product | Typical Alternative | Advantage |
|---|---|---|---|
| Resolution Options | Standard (2MP), Advanced (5MP), and High Speed variants | Entry-level systems often provide fixed resolution with limited upgrade options | Researchers can select appropriate resolution for their specific experimental requirements and upgrade as protocols become more demanding |
| Apparatus Compatibility | Compatible with Open Field, Y Maze, Barnes Maze, activity products, social apparatus, activity cages, vivariums, home cages | Many tracking systems are designed for specific apparatus types with limited flexibility | Single system investment supports multiple experimental paradigms, reducing equipment costs and training requirements |
| Behavioral Detection | Automated recognition of grooming, burrowing, and social interactions | Basic systems often provide only position tracking without behavioral classification | Eliminates manual behavioral scoring, improving objectivity and reducing analysis time for complex behavior studies |
| Physical Design | Compact, lightweight construction | Larger systems may require dedicated mounting infrastructure | Easy repositioning between experimental setups and minimal space requirements in laboratory environments |
| Tracking Parameters | Location, speed, and path tracking capabilities | Basic systems may provide limited movement parameters | Comprehensive movement analysis enables detailed kinematic studies and behavioral pattern recognition |
The video tracking camera system offers flexible configuration options across three performance levels with broad apparatus compatibility and automated behavioral detection capabilities. The compact design and comprehensive tracking parameters support diverse experimental requirements while maintaining ease of installation and operation.
Practical Tips
Place calibration markers at multiple points within the field of view, not just the corners, to account for lens distortion effects.
Why: Multiple reference points improve measurement accuracy across the entire experimental arena.
Clean camera lenses weekly with appropriate cleaning solutions to prevent dust accumulation that can affect detection sensitivity.
Why: Clear optics maintain consistent image quality and tracking accuracy throughout extended experimental periods.
Test tracking accuracy with known movement patterns before each experimental session to verify system performance.
Why: Validation testing identifies potential issues before data collection begins, preventing loss of experimental data.
If tracking accuracy decreases, check for changes in lighting conditions or background contrast that may affect subject detection.
Why: Environmental changes can significantly impact automated detection algorithms and measurement reliability.
Record video alongside tracking data to enable post-hoc verification of behavioral events and tracking accuracy.
Why: Video recordings provide backup validation and enable manual verification of automated behavioral classifications.
Secure all cables and mounting hardware to prevent equipment damage from animal contact or experimental apparatus movement.
Why: Proper cable management prevents system downtime and maintains consistent camera positioning throughout experiments.
Maintain consistent ambient lighting throughout experimental sessions to prevent detection parameter drift.
Why: Stable lighting conditions ensure consistent tracking performance and reduce the need for parameter adjustments between sessions.
Setup Guide
What’s in the Box
- Video tracking camera unit
- Power adapter and cable
- USB data cable (typical)
- Mounting bracket and hardware (typical)
- Installation and setup guide
- Tracking software license (typical)
- Calibration reference card (typical)
Warranty
ConductScience provides a one-year manufacturer warranty covering defects in materials and workmanship, with technical support for installation and configuration assistance.
Compliance
References
Background reading relevant to this product:
What frame rates are supported across the different camera models?
Frame rate specifications vary by model configuration. The high-speed variant is optimized for rapid movement capture, while standard and advanced models provide frame rates suitable for typical behavioral analysis. Consult product datasheet for specific frame rate ranges for each model.
How do I ensure accurate calibration for different maze sizes?
Calibration requires inputting precise apparatus dimensions into the tracking software and placing calibration markers at known distances within the field of view. The system converts pixel measurements to real-world coordinates based on these reference points.
Can the system track multiple animals simultaneously?
Multi-animal tracking capability depends on the specific software configuration and experimental setup. The cameras can capture multiple subjects within the field of view, but tracking accuracy may decrease with increased animal density or overlapping subjects.
What lighting conditions are required for optimal tracking?
Consistent, diffuse lighting that maximizes contrast between subjects and background is essential. Avoid shadows, reflections, or uneven illumination that could interfere with detection algorithms. LED panel lighting systems typically provide optimal conditions.
How is data exported for statistical analysis?
Tracking data is typically exported as comma-separated value (CSV) files containing time-stamped position coordinates, calculated parameters, and behavioral event markers. Data format compatibility with analysis software should be verified before purchase.
What maintenance is required for long-term reliability?
Regular lens cleaning, cable connection checks, and software calibration verification are recommended. Camera sensors should be protected from dust and moisture. Periodic validation with known movement patterns ensures continued tracking accuracy.
Can the cameras be integrated with other research equipment?
Integration capabilities depend on available input/output options and software compatibility. Many systems support synchronization with stimulus delivery systems, physiological recording equipment, or environmental control systems through digital triggers.
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