HiveMate
HiveMate
Written by Karim Samaha
HiveMate is an intelligent device developed for professional beekeepers looking to automate the hive monitoring process. It essentially aims at replicating traditional beekeeping procedures which consist in carefully observing the flow of bees in and out of the hive in addition to the constant inspection of the bottom of the frames in search for swarm cells.
Beekeepers face three main problems, which are known as swarming, absconding and Colony Collapse Disorder (CCD). Swarming is a natural phenomenon that occurs during the months of April, May, and June, during which a new queen bee is born, causing tensions that lead to half of the colony fleeing the hive permanently with the old queen. On the other hand, absconding and CCD are phenomena in which the honeybees are disturbed by external factors sometimes mysterious that cause them to leave their hive abruptly with no prior signs.
These issues have tremendous consequences on the production of honey and overhead costs, with reported losses internationally at 27 million hives yearly. HiveMate offers an automatic solution for professionals who usually spend around six hours a week in the field monitoring their beehives one by one. Using our mobile application, the beekeeper gets notified of any suspicious activity inside the hive. This notification would allow the beekeeper to take an action effectively, only when needed, avoiding the waste of time and costs resulting from manual monitoring. As a team of four mechanical engineers formed by Yves Georgy Daoud, Ramzi
Haddad, Dimitri Saad and Karim Samaha, with experience in Machine Learning, Mechatronics and Control, we were able to combine efforts and knowledge in the design of a technological solution. HiveMate consists of two separate but cloud-connected processors that are equipped with sensors. The first is attached above the entrance of the hive while the second is placed underneath the hive’s frames. Both sensors respectively track the flow of bees and the potential presence of swarm cells while offering the beekeeper a 24/7 access to monitoring the exterior and interior of the hive from the application, allowing the detection of swarming prior to 20 days of its occurrence.
We truly envision a world in which HiveMate, using Computer Vision and Artificial Intelligence, would act as a beekeeper’s partner optimizing the honey making process.
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