eDashA: edge-based dash cam video analytics

Jayden King*, Young Choon Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

5 Citations (Scopus)

Abstract

While the real-time analysis of dash cam video is of great practical importance for improving road safety, commercial dash cams lack the resources necessary to perform such video analytics. It is impractical to use clouds for this due to high latency and high bandwidth consumption. In this paper, we present eDashA, the first edge-based system that demonstrates the potential of near real-time video analytics using a network of mobile devices, on the move. In particular, it simultaneously processes videos produced by two dash cams of different angles (outward facing and inward facing dash cams) with one or more mobile devices on the move. Further, we devise several optimization techniques and incorporated them into eDashA. These techniques are simultaneous download and analysis, scheduling, segmentation and early stopping. We have implemented eDashA as an Android app and evaluated it using two dash cams and several heterogeneous smartphones. Experiment results show the feasibility of real-time video analytics on the move.

Original languageEnglish
Title of host publication2023 IEEE International Conference On Edge Computing and Communications IEEE EDGE 2023
Subtitle of host publicationproceedings
EditorsClaudio Ardagna, Feras Awaysheh, Hongyi Bian, Carl K. Chang, Rong N. Chang, Flavia Delicato, Nirmit Desai, Jing Fan, Geoffrey C. Fox, Andrzej Goscinski, Zhi Jin, Anna Kobusińska, Omer Rana
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages204-206
Number of pages3
ISBN (Electronic)9798350304831
ISBN (Print)9798350304848
DOIs
Publication statusPublished - 2023
Event7th IEEE International Conference on Edge Computing and Communications, EDGE 2023 - Hybrid, Chicago, United States
Duration: 2 Jul 20238 Jul 2023

Publication series

Name
ISSN (Print)2767-990X
ISSN (Electronic)2767-9918

Conference

Conference7th IEEE International Conference on Edge Computing and Communications, EDGE 2023
Country/TerritoryUnited States
CityHybrid, Chicago
Period2/07/238/07/23

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