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: