Christophe Brod, CEO and Founder, Beefutures.
Computer vision extracts directionality and length of a bee’s movement.
Beekeepers try to place hives in a location where bees will find nectar.
Silje Nord, Data Scientist, Amesto NextBridge.
“Usually you film [the waggle dance] with a timer, and you go back home and decode it manually. When you do that type of work, you just capture a few bee waggle dances,” says Christophe Brod, CEO and founder of Beefutures. “What we think the Beefutures approach will bring is the systematic and continuous real-time monitoring of all the bee waggle dances.”
Beefutures created an observation hive filled with sensors, microphones and cameras monitoring the inside and outside of beehives. It quickly captured bee activity using computer vision and streamed the data with IoT technologies. Using algorithms to analyze the real-time monitoring of all the bees in the hive, the team decoded the bees’ movements and located the best possible placement for future hives.
Next, the team developed an interactive map of optimal hive locations that beekeepers can access from their phones. This information helps the beekeepers decide where to relocate hives to optimize conditions or where to plant new food sources based on the time of year.
With just one question and an overwhelming passion for sustainability, this team uncovered a wealth of new answers provided by the bees.
Advanced monitoring of the waggle dances allows bees to act as sensors for their ecosystems. By understanding their dance movements, researchers might uncover even more insights to help save and protect their population, which ultimately benefits us all.
“That’s one of the exciting things here,” says Silje Nord, a data scientist at Amesto NextBridge. “We may provide our way of decoding the dance back to academia and they may use it in future research to see if there are other things we can learn from the bees that we are unaware of now.”
