Research.

Research is a part of AiFi's DNA. We are constantly innovating and disrupting the status quo. AiFi is collaborating with Carnegie Mellon University to lead the way in defining what is Autonomous Retail

Competitions.

Autonomous retail has the potential to change the way people perceive shopping in a similar way e-commerce did. Autonomous stores could offer the convenience of 24/7 operation close to the customer, eliminate friction (e.g. waiting in line to pay), monitor stock in real-time and better understand human shopping behavior. In recent years, several automated retail technologies have been proposed. However accuracy and cost effectiveness of these approaches have been a major bottleneck preventing large scale deployments and their study. This competition aims to bring industry and academia closer together by reducing the barrier of entry for researchers to access data and infrastructure. This will allow the community to design new approaches and compare their performance under similar conditions.

Eligibility
Both academia and industry submissions are encouraged. All techniques, such as vision-only, sensors only, or sensor fusion, are welcome, except those that require humans’ manual interaction. Contesters will be able to test their algorithms using the "Testing Data". During the competition contesters will have the opportunity to deploy their system and test it a day before the evaluation day (This might be adjusted depending on the number of participants). The results will be shown and processed in the stores servers and infrastructure.

Demo submissions that do not meet one or more of the guidelines above will be included in the poster session and will be evaluated as a regular submission, but they will not be considered for prizes.

The competition will take place if at least 5 teams respond to this preliminary call for competition.
Technology Used
The store will be using color video cameras and depth video cameras. The store has 4 gondolas with 5 shelves each. Each shelf has 12 weight sensing plates.

All sensing modalities are synchronized using NTP which will guarantee time synchronization within tens of milliseconds.

More details of the testbed will be under the "Data" Section.
Evaluation and Prizes
Results are judged based on accuracy, and an award will be given to the top 3 teams. When accuracy ties, latency of the response will be used for tie breaking. The winning teams will receive a cash award. The exact accuracy metrics that will be used during evaluation will be announced shortly before the competition takes place.
Poster Session
A poster session dedicated to all competition participants will be organized during the conference. Participants will have the opportunity to explain their system to conference attendees.
Submission Guidelines
Contesters must submit an abstract describing their approach and deployment requirements by the contest registration deadline. Submissions are treated as confidential until the competition. Submissions must be at most two (2) single-spaced 8.5″ x 11″ pages, including figures, tables, and references. Submission should follow the exact same format as regular, full IPSN 2020 papers. Abstracts should include the names and affiliations of all authors.

Templates can be found here.

Abstracts should be sent over email to: joao@aifi.io on or before February 28th 2020 with the following subject line: 2020 AiFi Nanostore AutoCheckout Competition Submission.

More details about the competition space and the evaluation process will be posted soon.

A tentative schedule for the competition is provided below:

  • April 22

    08:30 - 17:00
    Setup Day. All teams meet at the store area at 8:30am to go over the rules and setup.
  • April 23

    08:30 - 17:00
    Evaluation Day. Shopping time! All teams are evaluated during the entire day.
  • April 24

    11:30 - 12:30
    Official Results Announcement

This section will be updated after the submission deadline.

In order to get you started our organizers have gone shopping.

Video Data - Link
Sensor Data - Link
Depth Data - Link
Metadata - Link

  • Date
    April 22, 2020 - April 23, 2020
  • Location
    Sydney, Australia
  • Registration Deadline
    Submit 2 page abstract by Feb 28, 2020
  • Contact
    João Diogo Falcão: joao@aifi.io
  • Sponsors
  • Organizers
    João Diogo Falcão (AiFi Research)
    Carlos Ruiz (AiFi Research)
    Hae Young Noh (Stanford)
    Pei Zhang (Carnegie Mellon)
    Shijia Pan (UC Merced)

Conferences.

Papers.

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

@inproceedings{ruiz2019aim3sDemo,
 title={Demo Abstract: Autonomous Inventory Monitoring through Multi-Modal Sensing (AIM3S) for Cashier-Less Stores},
 author={Ruiz, Carlos and Falcao, Joao and Pan, Shijia and Noh, Hae Young and Zhang, Pei},
 booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
 pages={395--396},
 year={2019},
 organization={ACM}
}

Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores

@inproceedings{ruiz2019aim3s,
 title={AIM3S: Autonomous Inventory Monitoring through Multi-Modal Sensing for Cashier-Less Convenience Stores},
 author={Ruiz, Carlos and Falcao, Joao and Pan, Shijia and Noh, Hae Young and Zhang, Pei},
 booktitle={Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation},
 pages={135--144},
 year={2019},
 organization={ACM}
}

Datasets.

Coming Soon. Subscribe below to be notified.

Thank you! We will notify you once the dataset is public.
Oops! Something went wrong while submitting the form.
Ⓒ 2019 AiFi Inc.