Conservation AI

🌟 Exciting breakthrough in wildlife conservation! 🌟 Conservation AI in partnership with Chester Zoo Mount Kenya Wildlife Conservancy and the Kenya Wildlife Service has captured stunning real-time images of the critically endangered mountain bongo! 🦌 With fewer than 50 left in the wild, our #AI-driven cameras and real-time alerts from #Kenya are empowering #conservationists to monitor and protect these majestic animals. The mountain #bongo is an incredibly difficult species to monitor due to its elusive nature, yet with such critically low numbers, monitoring is absolutely vital. #AI technology is making this possible, ensuring timely interventions to safeguard their future. #WildlifeProtection #EndangeredSpecies #AIForGood #Biodiversity

🎉 Conservation AI Desktop App Version 3.8.3 Released! We’re thrilled to unveil the latest update to the Conservation AI Desktop App — Version 3.8.3! 🚀 This release is packed with enhancements to elevate your data management and processing experience. ✨ Key Improvements: ✅ Enhanced CSV Export Logging: Source File Location: Now included in CSV exports for better traceability and organisation of your data. Blank Image Reporting: Blank images are identified and reported, making it easier to manage files without detections. ✅ Optimised Video Processing: Distinct Species Capture: Saves images for each unique species detected in videos, keeping your data focused and relevant. Single Occurrence Logging: Each detected object in a video is logged only once, reducing duplicates and improving analysis accuracy. We’re committed to making #ai work for #conservation. 🌍 Let us know how these updates enhance your workflows! #AIForGood #Biodiversity

🌍🐃 AI in Action for Conservation in Kenya 🐃🌍 Our real-time #AI cameras in #Kenya have captured these stunning images of African buffalo in partnership with Chester Zoo Mount Kenya Wildlife Conservancy and Kenya Wildlife Service showcasing the potential of computer vision in #conservation. These majestic #animals are some of the most challenging to detect, but at Conservation AI we’re constantly pushing our models and methods to new heights. Liverpool John Moores University #WildlifeConservation #AIForGood #Innovation #TechForConservation

🌍🐘 Conservation in Action! 🐘🌍 Thrilled to share these incredible images of #elephants in #Kenya, captured by our real-time #AI enabled cameras! This groundbreaking technology, powered by Conservation AI in partnership with Chester Zoo Mount Kenya Wildlife Conservancy and Kenya Wildlife Service is transforming #wildlife conservation. By identifying elephants and other wildlife in real-time, this cutting-edge technology supports efforts to safeguard endangered species, track their behavior, and enhance anti-poaching measures. Liverpool John Moores University #WildlifeConservation #AIForGood #Sustainability

A great write up on the collaboration between Conservation AI, the University of Amsterdam, University of Reading, and Waternet, to use deep learning model to classify species in real time from cameras in an important conservation and water area near Amsterdam. W. Daniel Kissling https://lnkd.in/eYN4sjNC

🌿 Exciting Update for Conservation AI! 🌿 We’re thrilled to announce that the Conservation AI App now supports local video processing! 🎥✨ Following all the DMs we received about video processing just yesterday, we’ve been hard at work — and it’s ready! Now, users can process videos directly on their local machines. Frames are extracted at 1 frame per second, enabling seamless analysis of both images and videos together. Thank you to our amazing community for your continued support and inspiration. Together, we’re building tools for a better planet. 🌍 Liverpool John Moores University #AIforGood #ConservationTechnology #Innovation #WildlifeConservation

🎉 Exciting News from Conservation AI! 🌿📸 We're thrilled to unveil the latest version of the Conservation AI Desktop App, and it’s a game-changer! 🚀 Offline processing is here! Slow internet? Data Privacy? No problem! 🌍💻 Our upgraded app now allows you to process your camera trap data locally. Whether you’re in the heart of the rainforest, a remote research station, or simply working in a network-limited environment, Conservation AI has your back. 🙌 Check out the video below to see how this update will revolutionise your conservation workflows and empower your research. 🌱🐾 Liverpool John Moores University #TechForNature #WildlifeResearch #InnovationForConservation

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data We are pleased to announce that our latest paper is now available to read on arXiv. In this work, we explore how #ai can support #conservation efforts by improving the way biodiversity data from #cameratraps is processed and analysed. By integrating #species #detection with #contextual #information such as conservation status and #environmental #factors, this system aims to make data more accessible and #actionable for #conservationists. The approach has the potential to streamline workflows, enabling better decision-making for habitat protection and species management. For example, identifying #invasive #species or signs of #habitat hashtag #degradation could help allocate resources more effectively. While this proof of concept demonstrates significant promise, further development is needed to align the system with conservation priorities, including #biodiversity #metrics, #population #estimates, and #tracking #species #movements. This is just the beginning. As the system evolves, it could play a key role in enabling real-time monitoring and more proactive conservation strategies. Liverpool John Moores University #AI #WildlifeConservation #Biodiversity #Collaboration

The recent #Liverpool #AI #Summit, hosted by the Liverpool City Region Combined Authority, highlighted the region's leadership in harnessing #AI to improve lives and drive economic growth. A prime example of this innovation is Conservation AI, a Liverpool-based organisation operating from Liverpool John Moores University. Over the past seven years, Conservation AI has developed into a global platform with over 900 registered users across 143 countries, managing more than 1,000 active projects at any given time. By processing over 2 million #cameratrap images weekly, Conservation AI empowers #researchers and #conservationists worldwide to monitor #biodiversity and #protect #endangered #species. The platform integrates #computervision and #largelanguagemodels (LLMs) for automated #ecological #studies and #surveys, enhancing species identification with #contextual #insights such as #habitat #conditions, #animal #behaviours, #occupancy and #landuse. This innovation enables stakeholders to transition from #reactive to #proactive #wildlife #management, underscoring Liverpool's role in driving #global #impact through #AI.

A real pleasure and honour to present our drone and conservationAI work on primates at this conference in Portugal!