Development of intelligent home security system

Development of intelligent home security system

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2017.

Bibliografiske detaljer
Main Authors:	Islam, Sayedul, Hossain, Zakir, Dutta, Sourav, Hossain, Shafiul
Andre forfattere:	Kiber, Dr Md Adnan
Format:	Thesis
Sprog:	English
Udgivet:	BRAC Univeristy 2017
Fag:	Electronic security RFID Face detection
Online adgang:	http://hdl.handle.net/10361/8411

Lignende værker

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Udgivet: (2023)

Smart public transportation system in the prospective of Bangladesh using android application and RFID technology
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Udgivet: (2017)

Design and development of disinfecting robot for academic institutions
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Udgivet: (2024)

Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
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IoT based automated entry system with integration of Covid-19 symptom detection
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Udgivet: (2024)

Smart fare system for CNG
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Udgivet: (2018)

A hybrid fake banknote detection model using OCR, face recognition and hough features
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Udgivet: (2018)

Analysis on face recognition based on five different viewpoint of face images using MTCNN and FaceNet
af: Al-imran, et al.
Udgivet: (2019)

Online language teaching and learning: present condition and future prospects in Bangladeshi primary education system
af: Sarkar, Likhan
Udgivet: (2017)

Online language teacher education for ongoing development : prospect in Bangladesh among the English teachers
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Udgivet: (2016)

Monitoring driver awareness through eye tracking
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Udgivet: (2021)

Network based location tracking using MAC address of smart devices
af: Chowdhury, Md. Abu Hena, et al.
Udgivet: (2018)

Entry restricted security system for a smart home
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Udgivet: (2016)

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Udgivet: (2020)

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Udgivet: (2017)

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Udgivet: (2015)

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Udgivet: (2013)

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af: Promi, Israt Jahan
Udgivet: (2023)

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Udgivet: (2018)

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Udgivet: (2017)

Design of Arduino based home automation systems incorporating identity detection
af: Islam, Md. Wasif, et al.
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Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
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Udgivet: (2019)

Obscure face recognition using deep neural networks
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A deep face-mask detection model using DenseNet169 and image processing techniques
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Udgivet: (2022)

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Udgivet: (2018)

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Udgivet: (2013)

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Udgivet: (2017)

Computer security handbook : volume 1 /
Udgivet: (2014)

Computer security handbook : volume 2 /
Udgivet: (2014)

Waste management system using RFID and ultrasonic sensor
af: Rahman, Md. Mafiur, et al.
Udgivet: (2022)

Home mechanix guide to security : protecting your home, car & family /
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Udgivet: (1994)

Online engage-measurement in tutoring session
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