Event-Based Frequency Detection Methods for Determining Wingbeat Frequencies of Honey Bees

• Published in: Conference proceedings : Midwest Symposium on Circuits and Systems pp. 1300 - 1304
• Main Authors: Harrington, Kalonji, Taeckens, Elijah A., Tremba, Matthew, Lynch, Matthew, Fatima, Ayman, Kukadia, Riya, Majumder, Zain, Mathur, Rohan, Park, Daniel, Strucko, Richard, Traska, Stefan, Horiuchi, Timothy K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.08.2024
• Subjects: beehive; Circuits and systems; colony health; DVS; Frequency measurement; intruder; Real-time systems; Sensitivity; Time measurement; Time-frequency analysis; Vision sensors
• ISSN: 1558-3899
• DOI: 10.1109/MWSCAS60917.2024.10658772

Event-based vision sensors offer high-speed, low-latency vision solutions. The sensitivity of these sensors to temporal-changes make them ideal for applications involving rapidly-moving subjects or patterns. This work demonstrates the use of an event-based vision sensor to real-time detection of wing-beat frequency in flying honey bees. Wing-beat frequency measures are useful for species identification or colony health monitoring applications. A number of potential methods for detecting the wing-beat pattern are explored and assessed for the given problem. The results show that event-based vision can reliably measure the wingbeat frequency of bees in real time.