Face Recognition Using Raspberry Pi, Node-Red, IBM Watson and Twilio.
Face recognition is termed to be one of the major breakthroughs in the field of security. The main aim of the paper is to design an efficient, feasible, budget-friendly system which can take over the traditional fingerprint recognition, RFID and other technologies. The solution put forward in this p...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 161 - 168 |
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| Autores principales: | , , , , , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151005951&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151005951 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151005951 151005951 151005951 151005951 ppf: 161 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Face Recognition Using Raspberry Pi, Node-Red, IBM Watson and Twilio. aug: au: Pavitra, A. jyothi, V. Santhoshi, G. Dharani Babu, T. Mahesh Krishna, D. Hari Reddy, S. Manogna affil: Department Of Electronics And Communication, Vidya Jyothi Institute Of Technology Affiliated To Jntuh, Naac Accredited, Hyderabad, Telangana, 500075 sug: subj: Biometrics Security Measures Systems Design Fingerprints Computers and Computerization Artificial Intelligence Cloud Computing Computer Hardware Software Photography California Automation Movement Neural Networks (Computer) Cost Benefit Analysis ab: Face recognition is termed to be one of the major breakthroughs in the field of security. The main aim of the paper is to design an efficient, feasible, budget-friendly system which can take over the traditional fingerprint recognition, RFID and other technologies. The solution put forward in this paper is a face recognition security system which can identify invaders in restricted or highly secured areas. The device is a combination of both hardware and software functionalities. The hardware part consists of a Pi camera, PIR sensor, Raspberry pi while the software part consists of face-detection and face-recognition algorithms software which includes Node-Red, IBM Watson and Twilio. pubtype: Academic Journal doctype: pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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