HFR-Video-Based Honeybee Activity Sensing

Shimasaki, Kohei; Jiang, Mingjun; Takaki, Takeshi; Ishii, Idaku; Yamamoto, Kazuhiko

doi:10.1109/jsen.2020.2968130

Cited by 19 publications

(9 citation statements)

References 84 publications

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“…In this paper, the authors choose to crop images to only retain a region of interest containing the landing pad. More specialized cameras are used in [Shimasaki et al, 2018] and [Shimasaki et al, 2020] (bees tracking), where 1024 × 1024 images at 2000 and 500 frames per second are captured, respectively. These cameras are placed in front of the beehive, capturing a 4 m × 4 m scene.…”

Section: Bees Countmentioning

confidence: 99%

“…There are, however, research results that are difficult to integrate and distribute to beekeepers. For example, the camera used in [Shimasaki et al, 2020] which produces high-frame-rate videos, is not in the same price range as a Raspberry Pi camera. Still, such research allows the development of computer vision methods applied to apiculture and biological knowledge about bees.…”

Section: Pricementioning

confidence: 99%

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Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Hadjur

Ammar

Lefèvre

2022

Computers and Electronics in Agriculture

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Since the end of the 20 th century, bees are suffering from increasing stress factors, leading domesticated colonies to die or at least be less productive. Precision beekeeping (PB) is an emerging field of agriculture that aims at protecting bees, supporting beekeepers, and optimizing apiary production thanks to digital infrastructures. The digitalization of apiculture first involves systems from the field of the Internet of Things (IoT), with the development of sensors to collect and transfer bee-related data. Then, data analysis comes into play, providing models that connect the data with the biological states of beehives, sometimes thanks to artificial intelligence (AI).In this paper, we describe the recent advances in precision beekeeping as systems and as services. Different types of sensors, networks, and power sources in PB are covered. The collection and use of data are described, and the performances of PB services are assessed. We also estimate the sustainability of the proposed solutions, taking into account their scalability, efficiency, and economic cost, because beekeepers need deployable research results.

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Section: Bees Countmentioning

confidence: 99%

Section: Pricementioning

confidence: 99%

Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Hadjur

Ammar

Lefèvre

2022

Computers and Electronics in Agriculture

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“…Its effectiveness was verified by structural vibration analysis 24,27) with vibration distribution measurement at the audio-frequency level, rotation measurement for motors and propellers, [28][29][30] and wing-flapping measurement of honeybees. 31,32) It is expected to be a novel wide-area vibration monitoring technique in which every pixel plays the role of a sensor for time-series signal processing in high-speed vision.…”

Section: Wide-area Operation Monitoring Of Conveyors Using a Panoramic Vibration Cameramentioning

confidence: 99%

Wide-area Operation Monitoring of Conveyors Using a Panoramic Vibration Camera

et al. 2021

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“…Their effectiveness was demonstrated in applications such as high-speed mechanical tracking [60], robot hand grasping [61], and virtual stillness for heart surgery [62]. Dynamic sensing applications, which directly capture the dynamic properties of an object in the audio frequency range, have been developed, such as the analysis of scratching behavior of laboratory mice [63,64], honeybee flight analysis for offline HFR videos [65,66], cell deformation analysis in microchannels [67][68][69], and structural modal analysis [70]. Ultrafast mirror-drive pan-tilt cameras [71,72] that can switch 500 viewpoints per second have been used for structural vibration analysis by acting as multiple cameras capturing different views.…”

Section: Vibration Sensing Using High-speed Visionmentioning

confidence: 99%

High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform

Shimasaki

Fujiwara

et al. 2021

J Intell Robot Syst

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In this study, we develop a telephoto pan-tilt drone search and track system for multicopters flying in a wide area spanning hundreds of meters, situated at a distance of hundreds of meters. It can detect periodic brightness changes around the drone propellers, which rotate at a high speed, in a high-frame-rate (HFR) video. The temporal frequency responses of the brightness signals in the HFR video are computed by performing pixel-level short-time Fourier transforms (STFTs) of the signals. By detecting the peak frequencies, the drone propellers are localized as vibration sources, and their rotation speed is estimated to monitor the flight status of the drone. For real-time localization and flight monitoring, the proposed system can perform pixel-level STFTs in a 500 fps video of 720×540 pixels using video processing accelerated by graphic processing units. This allows a multicopter to be tracked in real time at the center of the camera view by a galvanomirror pan-tilt active vision system with visual feedback. We verified its effectiveness by examining HFR videos for flying multicopters of different appearance, and conducted tracking experiments in outdoor scenes involving multicopters flying at an altitude of 70 m and 200 m ahead in a mountainous background.

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HFR-Video-Based Honeybee Activity Sensing

Cited by 19 publications

References 84 publications

Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services

Wide-area Operation Monitoring of Conveyors Using a Panoramic Vibration Camera

High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform

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