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DeepDish on a diet: low-latency, energy-efficient object-detection and tracking at the edge

Authors:

Matthew Danish,

Justas Brazauskas,

Richard MortierAuthors Info & Claims

EdgeSys '22: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking

Pages 43 - 48

https://doi.org/10.1145/3517206.3526273

Published: 05 April 2022 Publication History

Abstract

Intelligent sensors using deep learning to comprehend video streams have become commonly used to track and analyse the movement of people and vehicles in public spaces. The models and hardware become more powerful at regular and frequent intervals. However, this computational marvel has come at the expense of heavy energy usage. If intelligent sensors are to become ubiquitous, such as being installed at every junction and frequently along every street in a city, then their power draw will become non-trivial, posing a severe downside to their usage. We explore Multi-Object Tracking (MOT) solutions based on our custom system that use less power while still maintaining reasonable accuracy.

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Cited By

ElTobgui RZayer FIacoponi SDe Masi GRenda FDias J(2024)Towards Efficient Underwater Robotic Swarms: Edge-Based Comparative Analysis of Multi-Object TrackersOCEANS 2024 - Singapore10.1109/OCEANS51537.2024.10682269(1-7)Online publication date: 15-Apr-2024
https://doi.org/10.1109/OCEANS51537.2024.10682269
Pan WKolcun RMortier R(2023)Anonymising Video Data Collection at the Edge Using DeepDish2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR57248.2023.10147953(7-13)Online publication date: 5-Jun-2023
https://doi.org/10.1109/HPSR57248.2023.10147953

Index Terms

DeepDish on a diet: low-latency, energy-efficient object-detection and tracking at the edge
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Information & Contributors

Information

Published In

cover image ACM Conferences

EdgeSys '22: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking

April 2022

67 pages

ISBN:9781450392532

DOI:10.1145/3517206

General Chairs:
Aaron Ding
TU Delft, Netherlands
,
Volker Hilt
Nokia Bell Labs, Germany

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 April 2022

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Innovate UK

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EuroSys '22

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SIGOPS

EuroSys '22: Seventeenth European Conference on Computer Systems

April 5 - 8, 2022

Rennes, France

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Overall Acceptance Rate 10 of 23 submissions, 43%

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EuroSys '25

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sigops

Twentieth European Conference on Computer Systems

March 30 - April 3, 2025

Rotterdam , Netherlands

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Cited By

ElTobgui RZayer FIacoponi SDe Masi GRenda FDias J(2024)Towards Efficient Underwater Robotic Swarms: Edge-Based Comparative Analysis of Multi-Object TrackersOCEANS 2024 - Singapore10.1109/OCEANS51537.2024.10682269(1-7)Online publication date: 15-Apr-2024
https://doi.org/10.1109/OCEANS51537.2024.10682269
Pan WKolcun RMortier R(2023)Anonymising Video Data Collection at the Edge Using DeepDish2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR)10.1109/HPSR57248.2023.10147953(7-13)Online publication date: 5-Jun-2023
https://doi.org/10.1109/HPSR57248.2023.10147953

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