Nadia Kanwal n.kanwal@keele.ac.uk
Deep Learning based Customer Count/Flow Monitoring System for Social Distancing
Kanwal, Nadia
Authors
Citation
Kanwal, N. (2021). Deep Learning based Customer Count/Flow Monitoring System for Social Distancing. . https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00138
| Acceptance Date | Jun 1, 2021 |
|---|---|
| Publication Date | 2021 |
| Deposit Date | Jun 5, 2023 |
| Pages | 831-836 |
| DOI | https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00138 |
You might also like
FireNet-v2: Improved Lightweight Fire Detection Model for Real-Time IoT Applications
(2023)
Journal Article
SoK: Context and Risk Aware Access Control for Zero Trust Systems
(2022)
Journal Article
Lightweight Deep Learning Model for Automated COVID-19 Diagnosis from CXR Images
(2021)
Conference Proceeding
Lightweight Deep Learning Model for Detection of Copy-move Image Forgery with Post-processed Attacks
(2021)
Conference Proceeding
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search