Technology for Nature Conservation Deploys AI Cameras and Underwater Sensors Across Six Countries

An IUCN and Huawei partnership is proving that technology for nature conservation can identify individual jaguars, prevent human-bear conflict, and catch illegal fishers in real time.

Technology for nature conservation took shape in 2020 when the International Union for Conservation of Nature (IUCN) and Huawei’s TECH4ALL program launched Tech4Nature, a global partnership designed to scale up conservation success through digital innovation. Rather than treating technology as a standalone fix, the initiative deploys tools directly aligned with the IUCN Green List Standard, ensuring digital solutions strengthen fair governance and effective management rather than existing as disconnected gadgets.

The partnership’s first phase, running from 2020 to 2023, launched projects across five flagship countries: China, Mauritius, Mexico, Spain, and Switzerland. Phase two, extending from 2023 through 2026, expanded to six flagship countries including Brazil, China, Kenya, Mexico, Spain, and Türkiye, alongside three satellite countries: Costa Rica, the Maldives, and Saudi Arabia.

In Mexico’s Yucatan Peninsula, technology for nature conservation now protects one of the region’s most elusive predators, the jaguar. The first phase installed 60 audio monitoring devices and more than 20 camera traps across Dzilam de Bravo State Reserve, using AI models trained to recognize jaguar vocalizations and images. The system has identified 147 species inhabiting the reserve while confirming the presence of nine individual jaguars, classified as Near Threatened due to habitat loss and fragmentation. 

A second phase, launched in 2025, expands this networked monitoring system, complementing camera traps with deeper acoustic coverage while generating insights into how climate change affects priority ecosystems along the peninsula’s north coast. Community involvement throughout the project cycle remains central to boosting outcomes on the ground.

Off the coast of Mauritius, technology for nature conservation reached the Western Indian Ocean for the first time through underwater cameras equipped with special lenses, sensors, and 4G connectivity carrying data for AI interpretation. Developed with Ecomode Society, the system monitors coral reef ecosystems in real time, tracking how these fragile habitats respond to pressures including algae overgrowth that can smother coral colonies.

In Kenya’s Kisite-Mpunguti Marine Park and Reserve, launched in January 2025, technology for nature conservation addresses illegal fishing and chronically insufficient patrol capacity across three coral islands popular with tourists and divers. Underwater cameras, photogrammetry, and audio monitoring track parrotfish populations, a keystone species whose grazing habits prevent coral from being overwhelmed by algae. 

The system also monitors seagrass cover, substrate health, and the presence of endangered green turtles and vulnerable bottlenose dolphins, while AI trained to recognize illegal fishing vessels sends near-real-time alerts, allowing rangers to intervene before damage occurs. A high-resolution bathymetric survey completed in 2025 produced a detailed spatial model of the seafloor around Lower Mpunguti Island, capturing depth gradients and reef morphology previously unmapped.

China’s application of technology for nature conservation centers on protecting giant panda habitat from wildfire. A smart fire prevention system deployed across multiple reserves, including Tangjiahe National Nature Reserve, a site on the IUCN Green List, analyzes satellite imagery in real time to detect possible fires across Sichuan’s panda habitat before they spread. 

In 2025, the partnership expanded into human-wildlife coexistence work through a new agreement with the Ecology and Nature Conservation Institute of the Chinese Academy of Forestry, developing AI-powered camera traps in Shennongjia National Park that can identify black bears in real time and trigger 4G-enabled SMS alerts to nearby residents before dangerous encounters occur.

Across all six flagship countries, technology for nature conservation follows a consistent structure. Protected areas participating in the Tech4Nature pilot use the IUCN Green List Self-Assessment Tool, with technical guidance from the partnership, to help site managers assess their readiness against globally recognized standards for governance, planning, management, and conservation outcomes. This alignment ensures digital tools, including ecological monitoring systems, camera traps, AI algorithms, and acoustic sensors, work in coordination with rangers, researchers, technology partners, and local communities rather than replacing human judgment and local knowledge.

The approach has already supported 11 flagship and satellite country projects with tailored conservation solutions, spanning marine, forest, mountain, mangrove, and desert ecosystems. Through this partnership, technology for nature conservation also engages protected area management authorities directly with the Green List framework, encouraging formal government commitment and potential expansion to additional sites beyond the initial pilots.

James Hardcastle, Head of IUCN Protected and Conserved Areas, has noted growing momentum and buy-in from the conservation community to apply technology more broadly while developing entirely new ways it can support conservation goals, emphasizing that appropriate deployment ensures sustained benefits rather than technology adopted for its own sake.

As habitat loss, illegal fishing, wildfire, and human-wildlife conflict intensify pressures on protected areas worldwide, technology for nature conservation through Tech4Nature demonstrates a replicable model: pairing cutting-edge digital tools with rigorous governance standards and genuine community partnership, proving that innovation succeeds not by working around local stakeholders but by strengthening their capacity to protect the ecosystems they already know best.