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Autonomous Inventory Monitoring through Multi-Modal Sensing (AIM3S) for Cashier-Less Stores

Published: 13 November 2019 Publication History

Abstract

Auto-checkout technology could revolutionize physical retail by bringing down operating costs and enabling automated stores. The first step towards fully autonomous stores is automated live inventory monitoring. Existing automated approaches tend to focus on vision only and are cost prohibitive, slow, or inaccurate for practical real-world applications. To overcome these challenges we propose a novel sensor fusion framework through cameras, weight sensors and prior knowledge of item arrangement. Namely we focus on the tasks of event detection (i.e. when did customers pick up or return an item?), and robust item classification (i.e. what product was it?). In this demo we show the system can be implemented to accurately predict inventory in real-time.

References

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Amazon. 2019. Amazon.com: Amazon Go. https://www.amazon.com/b?node=16008589011 Accessed: 2019-08-29.
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Adrian Beck. 2011. Self-scan checkouts and retail loss: Understanding the risk and minimising the threat. Security Journal 24, 3 (2011), 199--215.
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eft Supply Chain & Logistics Business Intelligence. 2018. The Last Mile Retail Study. https://img03.en25.com/Web/FCBusinessIntelligenceLtd/%7B2aee9e05-4e7b-4270-b271-cd403ab94d17%7D_4914-EFT0118_TheLastMileRetailStudy_V16.pdf Accessed: 2019-08-29.
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Rena Kamoda, Mayumi Ueda, Takuya Funatomi, Masaaki Iiyama, and Michihiko Minoh. 2012. Grocery re-identification using load balance feature on the shelf for monitoring grocery inventory. In Computers workshop (CwC). Citeseer, 13.
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Recode. 2019. Amazon's store of the future has no cashiers, but humans are watching from behind the scenes. https://www.recode.net/2017/1/6/14189880/amazon-go-convenience-store-computer-vision-humans Accessed: 2019-08-29.
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Yacine Rekik, Evren Sahin, and Yves Dallery. 2008. Analysis of the impact of the RFID technology on reducing product misplacement errors at retail stores. International Journal of Production Economics 112, 1 (2008), 264--278.
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Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015. Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems. 91--99.
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George Roussos. 2006. Enabling RFID in retail. Computer 39, 3 (2006), 25--30.
[9]
Carlos Ruiz, Joao Falcao, Shijia Pan, Hae Young Noh, and Pei Zhang. 2019. AIM3S: Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores. In Proceedings of the 6th Conference on Systems for Built Environments. ACM.
[10]
Albrecht Schmidt, Martin Strohbach, Kristof Van Laerhoven, Adrian Friday, and Hans-Werner Gellersen. 2002. Context acquisition based on load sensing. In International Conference on Ubiquitous Computing. Springer, 333--350.
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TechCrunch. 2019. Inside Amazon's surveillance-powered, no-checkout convenience store. https://techcrunch.com/2018/01/21/inside-amazons-surveillance-powered-no-checkout-convenience-store/ Accessed: 2019-08-29.

Cited By

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  • (2023)Poster Abstract: Vibration-Based Object Classification with Structural Response of Ambient MusicProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3589825(314-315)Online publication date: 9-May-2023
  • (2023)Augmenting Vibration-Based Customer-Product Interaction Recognition with Sparse Load SensingProceedings of Cyber-Physical Systems and Internet of Things Week 202310.1145/3576914.3589560(266-271)Online publication date: 9-May-2023
  • (2023)Single-Point Vibration Sensing for Product Pickup/Put-Down Detection in Autonomous RetailsProceedings of the 24th International Workshop on Mobile Computing Systems and Applications10.1145/3572864.3581583(136-136)Online publication date: 22-Feb-2023
  • Show More Cited By

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cover image ACM Other conferences
BuildSys '19: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
November 2019
413 pages
ISBN:9781450370059
DOI:10.1145/3360322
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2019

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BuildSys '19 Paper Acceptance Rate 40 of 131 submissions, 31%;
Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

View all
  • (2023)Poster Abstract: Vibration-Based Object Classification with Structural Response of Ambient MusicProceedings of the 22nd International Conference on Information Processing in Sensor Networks10.1145/3583120.3589825(314-315)Online publication date: 9-May-2023
  • (2023)Augmenting Vibration-Based Customer-Product Interaction Recognition with Sparse Load SensingProceedings of Cyber-Physical Systems and Internet of Things Week 202310.1145/3576914.3589560(266-271)Online publication date: 9-May-2023
  • (2023)Single-Point Vibration Sensing for Product Pickup/Put-Down Detection in Autonomous RetailsProceedings of the 24th International Workshop on Mobile Computing Systems and Applications10.1145/3572864.3581583(136-136)Online publication date: 22-Feb-2023
  • (2023)CPAProceedings of the 24th International Workshop on Mobile Computing Systems and Applications10.1145/3572864.3580328(8-14)Online publication date: 22-Feb-2023
  • (2022)Counting assistant through multi-sensor fusion for inventory monitoring2022 27th International Conference on Automation and Computing (ICAC)10.1109/ICAC55051.2022.9911172(1-6)Online publication date: 1-Sep-2022
  • (2021)ISACSProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34780865:3(1-26)Online publication date: 14-Sep-2021
  • (2020)Multi-Network Provisioning for Perpetual Operations in IoT-Enabled Smart Spaces2020 IEEE International Conference on Smart Computing (SMARTCOMP)10.1109/SMARTCOMP50058.2020.00032(89-97)Online publication date: Sep-2020

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