Batteryless image sensors present an opportunity for pervasive wide-spread remote sensor deployments that require little maintenance and have low cost. However, the reliance of these devices on energy harvesting presents tight constraints in the quantity of energy that can be stored and used, as well as limited, energydependent availability. In this work, we develop Camaroptera, the first batteryless, energy-harvesting image sensing platform to support active, long-range communication. Camaroptera reduces the high latency and energy cost of communication by using nearsensor processing pipelines to identify interesting images and transmit them to a far-away base station, while discarding uninteresting images. Camaroptera also dynamically adapts its processing pipeline to maximize system availability and responsiveness to interesting events in different harvesting conditions. We fully prototype the Camaroptera hardware platform in a compact, 2cm x 3cm x 5cm volume, composed of three adjoined circuit boards. We evaluate Camaroptera demonstrating the viability of a batteryless remote sensing platform in a small package. We show that compared to a system that transmits all image data, Camaropteras processing pipelines and adaptive processing scheme captures and sends 2-5X more images of interest to an application.

Camaroptera: A batteryless long-range remote visual sensing system / Nardello, M.; Desai, H.; Brunelli, D.; Lucia, B.. - ELETTRONICO. - (2019), pp. 8-14. (Intervento presentato al convegno 7th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems, ENSsys 2019, co-located with ACM SenSys 2019 tenutosi a New York nel 2019) [10.1145/3362053.3363491].

Camaroptera: A batteryless long-range remote visual sensing system

Nardello M.;Brunelli D.;
2019-01-01

Abstract

Batteryless image sensors present an opportunity for pervasive wide-spread remote sensor deployments that require little maintenance and have low cost. However, the reliance of these devices on energy harvesting presents tight constraints in the quantity of energy that can be stored and used, as well as limited, energydependent availability. In this work, we develop Camaroptera, the first batteryless, energy-harvesting image sensing platform to support active, long-range communication. Camaroptera reduces the high latency and energy cost of communication by using nearsensor processing pipelines to identify interesting images and transmit them to a far-away base station, while discarding uninteresting images. Camaroptera also dynamically adapts its processing pipeline to maximize system availability and responsiveness to interesting events in different harvesting conditions. We fully prototype the Camaroptera hardware platform in a compact, 2cm x 3cm x 5cm volume, composed of three adjoined circuit boards. We evaluate Camaroptera demonstrating the viability of a batteryless remote sensing platform in a small package. We show that compared to a system that transmits all image data, Camaropteras processing pipelines and adaptive processing scheme captures and sends 2-5X more images of interest to an application.
2019
ENSsys 2019 - Proceedings of the 7th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
AA.VV.
1515 BROADWAY, NEW YORK, NY 10036-9998 USA
Association for Computing Machinery, Inc
9781450370103
Nardello, M.; Desai, H.; Brunelli, D.; Lucia, B.
Camaroptera: A batteryless long-range remote visual sensing system / Nardello, M.; Desai, H.; Brunelli, D.; Lucia, B.. - ELETTRONICO. - (2019), pp. 8-14. (Intervento presentato al convegno 7th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems, ENSsys 2019, co-located with ACM SenSys 2019 tenutosi a New York nel 2019) [10.1145/3362053.3363491].
File in questo prodotto:
File Dimensione Formato  
2019-ENSSYS Cameroptera Nardello.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.19 MB
Formato Adobe PDF
3.19 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/267895
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 54
  • ???jsp.display-item.citation.isi??? 41
  • OpenAlex ND
social impact