Real-Time Detection of Intruders Using an Acoustic Sensor and Internet-of-Things Computing.

Al-Khalli, Najeeb; Alateeq, Saud; Almansour, Mohammed; Alhassoun, Yousef; Ibrahim, Ahmed B; Alshebeili, Saleh A

Al-Khalli, Najeeb; Alateeq, Saud; Almansour, Mohammed; Alhassoun, Yousef; Ibrahim, Ahmed B; Alshebeili, Saleh A.

Afiliação

Al-Khalli N; KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia.
Alateeq S; King Abdullah Institute for Nanotechnology (KAIN), King Saud University, Riyadh 11451, Saudi Arabia.
Almansour M; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
Alhassoun Y; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
Ibrahim AB; Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.
Alshebeili SA; KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh 11421, Saudi Arabia.

Sensors (Basel) ; 23(13)2023 Jun 21.

Article em En | MEDLINE | ID: mdl-37447640

Assuntos

Acústica; Som; Humanos; Algoritmos; Automação; Internet

Palavras-chave

Internet of Things; acoustic sensor; adaptive thresholding; intruders detection; real-time implementation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Som / Acústica Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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