ConductVision Enterprise
Animal Detection
From lab mice to African elephants, species identification built on a decade of research deployment.
Animal Detection is ConductVision's flagship proven capability, deployed in research institutions worldwide through ConductScience's equipment heritage. Drawing on over ten years of building research-grade equipment for laboratories and field studies, and actively deploying animal tracking systems in production environments, this system identifies 100+ species, tracks individual animals across frames, monitors behavioral patterns, and detects health indicators in livestock. The models are trained on curated scientific datasets, not internet scrapes, ensuring reliable performance across controlled environments, open pastures, and remote wildlife corridors alike.
How it works
Animal Detection in three steps
Connect Lab or Field Cameras
Integrate cameras from laboratory overhead rigs, trail cameras, drone feeds, or barn-mounted IP cameras. The platform supports both real-time streams and batch upload of recorded footage for retrospective analysis.
Species-Specific AI Models
Specialized detection models identify species, estimate body condition, and classify behaviors such as feeding, resting, grooming, and social interaction. For livestock and lab animals, individual re-identification tracks subjects without physical tags.
Deliver Research-Grade Data
Structured observations export directly into research data formats. Alerts trigger on predefined events, a sick animal showing lethargy, a predator entering a corridor, or an animal breaching a virtual fence.
Features
100+ Species Identification
Recognizes over 100 species across mammals, birds, reptiles, and marine life. Models are continuously expanded with peer-reviewed training datasets.
Individual Animal Re-Identification
Distinguishes individual animals by coat pattern, markings, and body shape, enabling longitudinal tracking without physical tags or implants.
Behavior Classification
Classifies 40+ behaviors including feeding, resting, locomotion, social interaction, stereotypic movements, and distress indicators. Customizable for specific research protocols.
Wildlife Corridor Monitoring
Detects and logs animal crossings at highway underpasses, habitat bridges, and migration routes. Generates crossing frequency reports by species and time of day.
Livestock Health Indicators
Monitors gait anomalies, feeding frequency, and isolation behavior that may indicate illness. Designed as an operational monitoring tool, not a diagnostic device.
Laboratory Animal Tracking
Overhead camera tracking for rodents in open-field, elevated-plus-maze, Morris water maze, and home-cage environments. Compatible with standard behavioral neuroscience protocols.
Batch Video Analysis
Upload recorded trail camera footage or lab videos for offline processing. The system returns structured annotations compatible with BORIS, DeepLabCut, and other ethology tools.
Customizable Species Models
Train custom detection models for niche species or specific research populations using your own annotated images. Transfer learning keeps the required training set small.
Use cases
Behavioral Neuroscience Research
Researchers spend hours manually scoring rodent behavior from video. Automated tracking and behavior classification reduce scoring time by an order of magnitude while improving inter-rater consistency.
researchpharma
Wildlife Conservation Monitoring
Conservation teams deploy trail cameras across vast areas but lack the personnel to review millions of images. AI-powered species identification filters and catalogs captures automatically.
conservationgovernment
Livestock Welfare Auditing
Agricultural operations need continuous welfare monitoring across large herds. Automated behavior and gait analysis flags animals requiring veterinary attention before conditions worsen.
agricultureveterinary
Highway Wildlife Crossing Analysis
Transportation departments invest millions in wildlife crossings but struggle to measure their effectiveness. Automated monitoring quantifies crossing frequency by species and time.
transportationconservationgovernment
Aquaculture Stock Monitoring
Fish farms need to monitor feeding behavior, swimming patterns, and mortality events across multiple pens. Underwater camera feeds are processed to detect abnormal behavior and estimate biomass.
agricultureaquaculture
Pest Intrusion Detection
Food storage and processing facilities must detect rodent and bird intrusions rapidly. Animal Detection identifies pest species in real time and triggers facility management alerts.
food processinglogisticsmanufacturing
Drone-Based Wildlife Surveys
Ecologists use drone flights to survey animal populations across inaccessible terrain. The platform processes aerial video to count individuals, identify species, and map spatial distributions.
conservationresearch
Technical overview
- Models
- YOLOv8 + EfficientNet ensemble with species-specific fine-tuning on curated scientific datasets
- Input formats
- RTSP, ONVIF, MP4, HLS, JPEG batch (trail cameras), underwater camera protocols
- Output formats
- JSON, CSV, BORIS-compatible XML, DeepLabCut HDF5, Webhooks
- Edge support
- NVIDIA Jetson for field deployment, solar-powered enclosures available, satellite uplink compatible
Accuracy and latency are measured against your footage and cameras during pilot scoping; we publish figures only with the conditions they were measured under.
Related capabilities
Environmental Monitoring
Water levels, flood risk, vegetation health, and erosion, visual intelligence born from ConductScience's environmental research heritage. Available for pilot.
Behavioral Analytics
Loitering, aggression, crowd surges, and abandoned objects, anomaly detection grounded in behavioral science. Available for pilot.
Drone Detection
See, classify, and track unauthorized drones before they reach your perimeter. Available for pilot.
Evaluate Animal Detection on your footage
One prioritized outcome, your cameras, a structured results review.
