Put wild animals to work for a fee, follow my project, hardware, software AND, how I trained the bird.
Join me in my journey to build an intelligent device for Wildlife biologists/conservationists using Xilinx Ultrascale FPGAs.
EleTect - TinyML and IoT deployed Smart Wildlife Tracking Technology with Audio, Image and Accelerometer deployed model tracking.
Device detects motion, then takes a picture of triggering wildlife. Uses a neural net to identify the wildlife species and does something.
Elephant AI is a set of machine learning algorithms to help in Elephant conservation and protect them from poaching.
Tracking elephants' movement using nRF52840 and Avent IOTConnect
Forest Guard: A Decentralized Edge-AI LoRa Mesh Network for Forest Surveillance
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
The Batcopter uses NXPs Hovergames drone kit, a raspberrypi Zero W, and a lightweight yagi antenna to triangulate a VHF radio signal source.
A POC for the build of AI object recognition camera's to detect and count Little Blue Penguins as they come ashore and go to sea.
UAV tracking and identification of endangered wildlife
An effective Machine Learning model, created with Edge Impulse, which can be used to detect whether the elephant is safe or not.
To attempt shooting closeup shots of wildlife in a field, this rover is able to be remotely controlled to move close to subjects.
Using this ML model, we can differentiate between humans and elephants to detect poaching and human-elephant conflicts.
Edge-Bird uses ML to identify bird species, monitor habitat conditions, support conservation efforts, and protect fragile ecosystems.
AI-powered recognition, no cloud, no subscriptions — just smart vision on board
One system, three jobs: stop wildlife damage, stop fires before they spread, and grow smarter with real-time soil data.
WildGuard is an advanced edge-AI early-warning camera designed to combat illegal poaching and monitor wildlife corridors.
A low-cost Arduino UNO Q edge-AI station that listens for urban birds, validates calls, visualizes biodiversity, and guides local habitat co
