Edge AI detection, large-scale data and machine learning are changing how wild places are protected. Models run on the device itself - at the waterhole, on the fence line, inside the camera trap - so a threat is flagged in real time without waiting for a signal or a satellite link. Those detections, sensor readings and visitor sightings all feed one growing dataset, where machine learning surfaces what no patrol could scan by hand: movement before conflict, silence before poaching, and a population quietly slipping away.
Protected areas such as Kruger, the Kgalagadi and Hluhluwe-iMfolozi only work when the animals inside them are understood. Movement patterns, water availability, breeding ranges and the slow creep of human settlement all show up first in where - and when - wildlife is seen.
That is the idea behind this platform. A leopard on a gravel road in February is more than a memory: it is a record with coordinates and a timestamp that can be compared with thousands of others to show whether a population is holding steady, shifting, or disappearing.
Visitor reports also fill the gaps that patrols cannot. Two hundred pairs of eyes across a holiday weekend cover more ground than any single team could in a month.
See the live map arrow_forwardKruger is bigger than some countries
Roughly 19,500 km² of bush to cover - an area no patrol schedule can reach everywhere, every day.
South Africa carries most of the world's rhino
Protecting them means knowing where they are at any hour - which makes every verified location useful.
Timing beats volume
A report with a date and a place can be matched against a water level, a fire, or a breeding season. The context is what makes it evidence.
Conservation is not one problem. These are the fronts this platform contributes to.
Ranger patrols, acoustic sensors and camera networks are only as good as the information they receive. Accurate, recent sighting data helps teams decide where to be.
Dams, rivers and veld condition decide where animals can live. Tracking movement around water points reveals stress long before it turns into a crisis.
Knowing where a herd is heading lets nearby communities act early - herding livestock, closing gates, moving harvests - instead of reacting to a loss.
Photo records, counts and locations contributed by visitors supplement formal surveys and extend them into the times and places rangers cannot cover.
From pangolin to vulture, the species that get the least attention are often the most threatened. Verified records keep them visible and funded.
People protect what they understand. Virtual tours, species guides and films make the bush accessible to anyone, anywhere - not only those who can visit.
No fieldwork experience required - the barrier to contributing should be zero.
See what has been spotted, where and when - and add your own report from the field.
Explore the map arrow_forwardReference images and descriptions for mammals, birds, trees, grasses and reptiles.
Browse species arrow_forwardAcoustic sensors, computer vision and predictive analytics working alongside rangers.
How the AI helps arrow_forwardWatch the parks when you cannot be there - river scenes, birdsong and full safari sound.
Watch the videos arrow_forwardLog what you saw before you lose the signal. Location, count, time - that is all it takes.