BatCount: A software program to count moving animals
I. Bentley, V. Kuczynska, V. M. Eddington, M. Armstrong, L. N. Kloepper
Abstract
One of the biggest challenges with species conservation is collecting accurate and efficient information on population sizes, especially from species that are difficult to count. Bats worldwide are declining due to disease, habitat destruction, and climate change, and many species lack reliable population information to guide management decisions. Current approaches for estimating population sizes of bats in densely occupied colonies are time-intensive, may negatively impact the population due to disturbance, and/or have low accuracy. Research-based video tracking options are rarely used by conservation or management agencies for animal counting due to the perceived training required to operate. In this paper, we present BatCount, a free software program created in direct consultation with end-users designed to automatically count aggregations of bats at cave roosts with a streamlined and user-friendly interface. We report on the software package and provide performance metrics for different recording habitat conditions. Our analysis demonstrates that BatCount is an efficient and reliable option for counting bats in flight and has important implications for range- and species-wide population monitoring. Furthermore, this software can be extended to count any organisms moving across a camera including birds, mammals, fish or insects.
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Using Deep Learning to Count Monarch Butterflies in Dense Clusters
S. Patel, A. Kulkarni, … J. d. Roode·bioRxiv·Jul 23, 2021
- BatSpot: a retrainable neural network for automatic detection and classification of bat echolocation and detection of buzzes and social calls
Simeon Q. Smeele, Christopher L. Hauer, … Signe Brinkløv·Biological ConservationPeer-reviewed·Jun 19, 2026
- Automated classification of bat echolocation call recordings with artificial intelligence
M. A. Tabak, K. L. Murray, … K. J. Bay·bioRxiv·Jun 23, 2021
- Revealing year-round activity of cave-dwelling insectivorous bats with a sonotype classifier in data-deficient areas.
Morgane Labadie, Sergé Morand, … Charlotte Roemer·bioRxiv·Feb 22, 2025
- Echolocation calls of some bat species in western Uganda
Laura N. Kloepper, Reese N. Fry, … Andrea Megela Simmons·bioRxiv·Dec 15, 2025
- Detection-Guided Beamforming for Efficient Bat Localisation
Roberto Alessandri, Lia R. V. Gilmour, … Dan Stowell·bioRxiv·Sep 13, 2026