Real-Time Video Server Implementation for a Mobile Robot

Safin, Ramil; Lavrenov, Roman; Tsoy, Tatyana; Magid, Evgeni

doi:10.1109/dese.2018.00042

Cited by 11 publications

(1 citation statement)

References 14 publications

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“…To deal with Varroa mite a number of methods were proposed including computer vision approaches [11], [12], [13] and real-time visualization systems [14] that allow monitoring of honeybee activity by counting their entry and exit from a beehive [15], [16]. Sensor fusion [17], [18] and fiducial markers [19] can also be incorporated into the monitoring process to provide more robust and accurate measurements.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Beehive Sound Levels with Arduino-based System

Ramis,

Safin,

Tsoy

et al. 2024

Proceedings of International Conference on Artificial Life and Robotics

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An automated beekeeping is a promising approach to addressing various issues associated with a beekeeping. Among primary problems, a swarming procedure stands out as a major concern. An uncontrolled swarming can lead to significant financial losses. During a swarming period a potential for losing a bee swarm is high, therefore a noise monitoring at this period gains a significant importance. Our long term research aims at a development of an intelligent monitoring system for beehive conditions, based on a hive-generated noises analysis. This paper presents an experiment that collected data about acoustic characteristics of bee states using an Arduino microcontroller and a MAX9814 microphone module. The obtained data analysis is discussed.

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