Automated beehive surveillance using computer vision

Abstract

The number of honey bees entering and leaving the hive throughout the day is an important metric for beekeepers. Some commercial systems that utilize infrared sensors at the hive's entrance exist for monitoring honeybee traffic. This research explores a solution that is based on visual information obtained through videos taken in front of the hives. This paper describes a system for surveillance based on traditional object detection and tracking methods. The project compares results from different algorithms within the system and discusses how the performance of the system can be effectively evaluated.