Edge Deployment Framework of GuardBot for Optimized Face Mask Recognition With Real-Time Inference Using Deep Learning

Author:

Manzoor Sumaira1ORCID,Kim Eun-Jin2ORCID,Joo Sung-Hyeon2ORCID,Bae Sang-Hyeon2ORCID,In Gun-Gyo2,Joo Kyeong-Jin2,Choi Jun-Hyeon2,Kuc Tae-Yong2ORCID

Affiliation:

1. Creative Algorithms and Sensor Evolution Laboratory, Suwon, South Korea

2. Department of Electrical and Computer Engineering, College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Korea Evaluation Institute of Industrial Technology

Ministry of Trade, Industry, and Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characterizing Face Recognition for Resource Efficient Deployment on Edge;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

2. A dual‐channel ensembled deep convolutional neural network for facial expression recognition in the wild;Computational Intelligence;2023-06-06

3. SPT: Single Pedestrian Tracking Framework with Re-Identification-Based Learning Using the Siamese Model;Sensors;2023-05-19

4. Face Mask Segmentation Method Combining Salient Features and Gender Constraints;Traitement du Signal;2023-04-30

5. A Machine Learning Approach to Identifying Facial Masks in Real Time;2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU);2023-03

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