- Title
- Mobile attendance based on face detection and recognition using OpenVINO
- Creator
- Brown, Dane L
- Subject
- To be catalogued
- Date
- 2021
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/465201
- Identifier
- vital:76582
- Identifier
- xlink:href="https://ieeexplore.ieee.org/abstract/document/9395836"
- Description
- The OpenVINO toolkit enables versatile computer vision with an Intel® Movidius ™ Neural Compute Stick 2 connected to a Raspberry Pi. This small portable platform provides new opportunities for innovative solutions in computer vision applications and beyond. This paper investigates its feasibility for mobile attendance systems for settings such as classrooms or other scenarios that require headcount or roll call. Related studies of face-based systems are explored, while the advantages of the proposed system are highlighted. Although there are some positioning constraints, the proof-of-concept system processes an approximate average of five faces per second. That means it can take attendance in a lecture room of 90 students in about 18 seconds. A recognition accuracy of 98.1% with an f-score of 96.9% was yielded on a private classroom dataset captured with a modest RPi camera. These promising results were achieved using a tiny ResNet-18 architecture, producing significantly better results than MobileNet. Furthermore, it outperformed the recognition accuracy of other ‘lightweight’ methods used in the literature that do not run off embedded devices on publicly available datasets.
- Format
- computer, online resource, application/pdf, 1 online resource (5 pages), pdf
- Language
- English
- Relation
- International Conference on Artificial Intelligence and Smart Systems (ICAIS), Brown, D., 2021, March. Mobile attendance based on face detection and recognition using OpenVINO. In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS) (pp. 1152-1157). IEEE, International Conference on Artificial Intelligence and Smart Systems (ICAIS) p. 1152 2021
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the IEEE Xplore Terms of Use Statement (https://ieeexplore.ieee.org/Xplorehelp/overview-of-ieee-xplore/terms-of-use)
- Rights
- Closed Access
- Hits: 37
- Visitors: 37
- Downloads: 0
Collections
Brown, Dane A (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Mobile attendance based on face detection and recognition using OpenVINO.pdf | 638 KB | Adobe Acrobat PDF | View Details |