a scalable, open-source and AI-driven camera trap data infrastructure for professional and citizen-science projects
TRAPPER is a next-generation, open-source Django based web application revolutionizing camera trapping project management!
As camera trapping becomes increasingly vital for ecological research and wildlife conservation, the challenge of managing massive multimedia datasets grows exponentially. TRAPPER transforms this challenge into an opportunity by providing a comprehensive, AI-powered platform that handles everything from data ingestion to advanced analytics.
What sets TRAPPER apart is its modern approach to camera trap data management: full compliance with the emerging global Camtrap DP standard, cutting-edge AI processing pipelines, and deployment flexibility that scales from laptop research to enterprise cloud infrastructure. Whether you’re a researcher working on a small field study or managing large-scale citizen science projects, TRAPPER adapts to your needs!
Seamless collaboration and data sharing between experts and citizens
Support for Camtrap DP standard exports
AI-powered object detection and species classification
Human-based annotations functionality
TRAPPER features two intuitive user interfaces
Citizen Science
offers an innovative, user-friendly and streamlined experience for quick AI-assisted data exploration and annotation, ideal for everybody but especially for citizen scientists or those new to camera trapping
Professional
provides advanced project management tools and customization options for researchers and institutions requiring detailed data control and manipulation and standardized exports for in-depth statistical analysis
supports both local and cloud-based data storage
This dual storage capability offers flexibility and scalability, accommodating projects of various sizes and complexities.
Local storage
enables users to manage data in-house directly on their computers, providing full control of privacy and offline accessibility
Cloud-based storage
facilitates data sharing, collaboration, and secure backups, ensuring data is accessible from anywhere and protected against loss
AI Integration
We seamlessly integrate state-of-the-art AI models for camera trap data.
Adding new AI models and architectures is straightforward, empowering you to incorporate your own solutions with ease.
Supported models
MegaDetector v5, v6, v1000, DeepFaune v1.4, DeerAI, TrapperAI v02.2024, SDZWA animl models, SpeciesNet (coming soon!), and more!
Supported architectures
YOLOR, YOLOv5, YOLOv8, YOLOv9, YOLOv10, RT-DETR, ViT, EfficientNet, and more!
source code repository
TRAPPER is, and will continue to be, an open-source project available under the GPLv3 license. We firmly believe that cross-sector innovation and openness maximize the benefits of conservation and scientific activity, and our project exemplifies this ethos.