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SmartTag: An ultra low power asset tracking and usage analysis IoT device with embedded ML capabilities
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2021 (English)In: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2021Conference paper, Published paper (Refereed)
Abstract [en]

Assessing power tools usage helps to prolong their life cycle, as well as indicate targeted maintenance interventions after a particular series of events, e.g. drops. In this work, we propose a low power multi-sensors hardware-software co-design for extremely long shelf life, and a long operating lifecycle. The designed device is based on a Bluetooth Low Energy (BLE) system on chip (SoC) to exchange data with a gateway. NFC has been chosen to wake up the device without adding any additional power consumption. The system on a chip includes an ARM Cortex-M4F core to further process the information achieving low latency and high energy efficiency. The device hosts a temperature and humidity sensor used to monitor the storage conditions, and an accelerometer is used for condition and activity monitoring. This paper provides a proof-of-concept approach to continuously assess the usage of a power tool and detect potential mis-usages, e.g., drops. The architecture, thought to be flexible, can host both traditional signal processing and novel tiny machine learning workloads, offering a future-proof platform for several application scenarios. Experimental results highlight the advanced processing capabilities at low power consumption enabling a long lifetime of up to 4 years with a small coin battery. © 2021 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2021.
Keywords [en]
Condition monitoring, Energy efficiency, Low power design, Smart sensors, Wireless sensors networks, Digital storage, Drops, Electric power supplies to apparatus, Electric power utilization, Gateways (computer networks), Integrated circuit design, Internet of things, Life cycle, Low power electronics, Programmable logic controllers, Signal processing, System-on-chip, Asset tracking, Low Power, Low-power design, Multi sensor, Power assets, Power tools, Tool usages, Tracking analysis, Ultra-low power, Usage analysis, Wireless sensor networks
Identifiers
URN: urn:nbn:se:miun:diva-43350DOI: 10.1109/SAS51076.2021.9530182Scopus ID: 2-s2.0-85116103374ISBN: 9781728194318 (print)OAI: oai:DiVA.org:miun-43350DiVA, id: diva2:1602296
Conference
2021 IEEE Sensors Applications Symposium, SAS 2021, 23 August 2021 through 25 August 2021
Available from: 2021-10-12 Created: 2021-10-12 Last updated: 2021-10-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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  • nn-NO
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  • sv-SE
  • Other locale
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Output format
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