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
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
To attempt shooting closeup shots of wildlife in a field, this rover is able to be remotely controlled to move close to subjects.
An effective Machine Learning model, created with Edge Impulse, which can be used to detect whether the elephant is safe or not.
Using this ML model, we can differentiate between humans and elephants to detect poaching and human-elephant conflicts.
