Main Article Content

Abstract

We present Autonomous Surveillance Drone, a new approach to serve purpose of UAV surveillance. Instead, just sending video stream from drone to display device at user's side we have developed complete system to get insights from video stream. Our system architecture is extremely simple and biggest reason for this is platforms provided by Nvidia and Microsoft, throughout this paper we are demonstrating all results/outputs using services and hardware provided by Nvidia and Microsoft. We are using the Nvidia's Jetson Development board to compile our inference part(object detection using YOLO-V3) along with stream and metadata fetch at remote terminal, Jetson nano is our IoT edge device, to connect edge device and the remote terminal we are using Microsoft Azure IoT hub (Cloud Service).

Keywords

Drone, Nvidia Jetson Nano,Microsoft Azure IoT hub, NVIDIA DeepStream SDK, YOLO.

Article Details

How to Cite
[1]
Dhavalshree Khedkar, Akshata Kasar, and Vishwas Shelke, “AUTONOMOUS SURVEILLANCE DRONE”, IEJRD - International Multidisciplinary Journal, vol. 5, no. 5, p. 9, Jun. 2020.

References

  1. https://developer.nvidia.com/embedded/jetson-nano-developer-kit
  2. https://www.udemy.com/course/yolo-v3-using-darknet-framework-on-nvidia-gpu/
  3. https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-devkit
  4. https://docs.microsoft.com/en-us/azure/iot-edge/quickstart-linux
  5. https://docs.microsoft.com/en-us/azure/iot-edge/how-to-install-iot-edge-linux
  6. https://code.visualstudio.com/
  7. https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools#overview
  8. https://docs.microsoft.com/en-us/azure/iot-edge/how-to-deploy-modules-vscode#sign-in-to-access-your-iot-hub
  9. https://github.com/Azure-Samples/NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano
  10. https://github.com/Azure/IntelligentEdgeH