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The IntelligentBeehive Project

Introduction

The goal of the Intelligent Beehive Project is to research, invent and implement possible ways to gather and analyse Data from a BeeHive using state of the art technologies like Artificial Intelligence and Computer Vision. The project is split into several different components

Possible outcomes for this project are:

  • Using the Data to create a map of the biodiversity of a certain area so that for example city councils can plant more plants in a certain area.
  • Using the Data to make a automated hive monitoring system which can notify the bee owner when the hive might be in danger.

Components

  • Waggle Dance Detection
  • Hive Health Detection
  • Bee Sound Detection
  • Pollen Color Detection
  • Hive Sensors

Institute's

Fontys

Our team

Our team that is currently working on this project are:

  • Luuk Ebenau (waggledance detection)
  • Sieuwe Elferink (bee health detection)
  • Dirk Heijen (bee audio analysis)
  • Dion Trilbeek (Sensor data)
  • Hugo (Pollen Analysis)

Used Hardware

For this project we've used a large amount of hardware components (besides the beehive) These are the hardware components that we use: