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

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.

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Publication Details

Published
2024-08-11
DOI
https://doi.org/10.1109/mwscas60917.2024.10658772
Primary Topic
Plant and animal studies
Type
article
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article

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

Rohan Mathur, Timothy K. Horiuchi, Riya Kukadia, Elijah A. Taeckens et al.
Plant and animal studies
article

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

Rohan Mathur, Timothy K. Horiuchi, Riya Kukadia, Elijah A. Taeckens, Daniel S. Park, Zain Majumder, Richard Strucko, Matthew Tremba, Stefan Traska, Matthew E. Lynch, Ayman Fatima, Kalonji Harrington
article en

Abstract

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.

Vol. 66
University of Maryland, College Park (US)
Openalex Percentile: Top 89%
Plant and animal studies
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