Economics & Development

IdentiFlight consists of stereo and wide field of view cameras, proprietary software, and neural network technologies that process images to detect the presence of protected species of interest and determine the positions, velocities, and trajectories in real time. IdentiFlight is the only technology with the detection range and classification accuracy to effectively and efficiently curtail certain wind turbines that threaten specific birds; it classifies species with over 98 percent accuracy, resulting in power generation losses of just 0.7 percent. The system can detect a bird as far away as 1.3 kilometers. If the bird is classified as a protected species, IdentiFlight equips wind farm operators with the visual and quantitative data needed to reduce or avoid collisions.

Instant Detect 2.0 is a wildlife, environmental, and threat monitoring system developed by the Zoological Society of London (ZSL) for use in some of the most remote, harsh, and disconnected landscapes. The system integrates battery‑powered cameras and metal‑detecting sensors with a satellite‑connected base station to transmit images and alerts to the cloud in near real time. Using low‑power, long‑range radio networks and Iridium satellite connectivity, Instant Detect 2.0 enables reliable monitoring in areas without conventional communications infrastructure. Designed to be lightweight, portable, low‑maintenance, and easy to deploy by non‑technical users, the system supports motion‑triggered and timelapse imaging, detects human activity where cameras cannot be placed, and operates on battery, solar, or wind power. Instant Detect 2.0 has been trialed across diverse and extreme environments, demonstrating its durability, accuracy, and affordability. By providing early warnings of poaching activity and wildlife movement beyond protected boundaries, the technology strengthens law enforcement, supports wildlife monitoring, and helps prevent human‑wildlife conflict through timely, actionable information.

Sentinel is an artificial intelligence–driven technology designed to address the challenges of biodiversity conservation in vast and remote natural areas where traditional monitoring methods are often costly, labor-intensive, and slow. The platform combines field‑deployable smart devices with satellite, LoRaWAN, and cellular connectivity, a robust backend for training and deploying custom AI models, and a suite of software tools and dashboards for real-time visualization and response. Integrated with camera traps, Sentinel devices identify species and events as they occur, filter relevant information in the field, and deliver actionable insights in near real time. By enabling rapid detection of threats such as human–wildlife conflict, invasive species, habitat destruction, wildlife trafficking, and zoonotic diseases, Sentinel allows conservation teams to act swiftly and effectively. Deployed across multiple countries and use cases, the technology has demonstrated its ability to enhance early warning, improve response times, and support data‑driven conservation management, even in the most inaccessible regions.