Author name
How'd this journey begin
August 2024, my first day working at DesignLab as a Resident. Happily sharing details of my project and plan .... and even after a year of thought ... 10 minutes into a consult and we're already radically improving the product.
Thanks to the team at DesignLab for supporting my project!
While my relationship with DesignLab is new, this project is not. It's already one year since I first got the honey bee "bug" and started looking into how AI, ML-ML (machine listening-machine learning) could be used to help save THE most important animal in the world - the HONEY BEE.
Isolating the sound and vibrations solved our mic problems.
What set's our IoT project apart from all others is the reliance on Machine Listening.
In modern beekeeping, maintaining the health of multiple hives across an apiary is a challenging task, often requiring frequent, intrusive inspections that can stress the bees and disrupt colony activities. By leveraging IoT technology, beekeepers can monitor hive health remotely, reducing the need for these disruptive checks. The concept involves placing sensors in each hive to measure critical parameters like temperature, humidity, CO2 levels, and sound. These sensors transmit data to a central unit—aptly named the "queen unit"—which collects and processes the information for real-time insights into each hive's condition. This setup allows beekeepers to identify issues early, such as the onset of swarming or the presence of pests like Varroa mites, without opening the hives. The centralized data collection not only simplifies hive management but also supports scalable monitoring across large apiaries, enabling proactive and less invasive care of the colonies.