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Application to detect Rats with YOLO and OpenCV and then displays them in a Web App consisting of a Vue js Frontend and an express js Backend

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Name		Name	Last commit message	Last commit date
Latest commit History 145 Commits
.idea		.idea
RasPiCluster		RasPiCluster
SensorNode		SensorNode
.gitignore		.gitignore
Dokumentation.pdf		Dokumentation.pdf
README.md		README.md

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Rat-Detector

Project Description

The goal of the project was to develop an edge computing solution for the automatic detection of pest as defined here. Therefore we had to:

setup a Kubernetes Cluster
setup a Sensor-Node
detect pests with the Sensor-Node
send the pictures to the Cluster
store the pictures on the cluster
display the pictures in a WebApp
optional: notify user via Telegram bot when a pest is detected

Tech-Stack

YOLOv5
- Object detection
- ReadMe
Docker / Python
- to run applications on the Sensor-Node
- ReadMe
K3S
- Kubernetes distribution for Cluster
- ReadMe
- The ReadMe contains a detailed description of purpose and function of the images below
- MariaDB
- NFS-Server
Webapp
- NodeJS/ExpressJS
- Vue
- ReadMe

Projectplan