GUARDIAN
Autonomous Drone System Solving Elephant-Human Conflict
Guardian is an Elephant-Human Conflict solution that is low-cost, high-efficient, and easy to deploy. It uses Zigbee signal to detect proximity of elephants, GPS to locate the exact positions of incoming elephants, and drone with state-of-the-art computer vision algorithms to recognize, track and herd the elephants away from human settlements.
-
active tag with Zigbee and GPS module to detect the proximity of elephants
-
state-of-the-art computer vision algorithms to recognize aggressive elephants
-
autonomous drones to herd the elephants away from human and properties
TEAM MEMBERS
WEIYUN JIANG
Responsible for PCB Design of the tracking tag for elephants.
The tag includes a GPS tracking module, a Xbee module to communicate with the base station, an Arduino microcontroller for coordinating the sending and receiving of position data.
Responsible for the Arduino code coordinating the GPS module and the Xbee module.
ALEXIS YANG
-
Responsible for the drone’s onboard elephant detection system.
-
The detection system is based on the video stream from the drone’s onboard infrared camera and AI algorithms processed on NVIDIA Jetson Nano.
-
Responsible for training the neural network for elephant detection.
NING DU
-
Responsible for Xbee Communication module.
-
Responsible for the Xbee portion of the Arduino code for the tag.
-
Responsible for the DJI onboard SDK running on NVIDIA Jetson Nano.
JIAJUN WAN
Responsible for the automated flight control of the drone.
Responsible for DJI SDK Development.
Responsible for the integration of the elephant detection system to the drone.