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MUHAMMAD ADLI FATA

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Final year student at the Universiti Sains Malaysia who majoring in distributed systems & security. Learning and building project are really his things. Web development, mobile development, and deep learning have recently drawn his attention. With the knowledge he has gained through his university studies and the experience he has gained through his internship, he is trying to achieve the best possible results for this FYP project.

Matrix No:

136127

Student Email: 

Supervisor:

Assoc. Prof. Mohd Azam Osman

Supervisor Email: 

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Project

MW025

Next Generation of Harmony Home Living

Next Generation of Harmony Home Living, a smart home concept system is proposed to automate your home environment based on your facial expression. This system consists of IoT-Based home appliances that can be controlled manually through your smartphone and automatically by detecting the home resident's facial expression using a developed smart camera. It can benefit the home resident to improve their life quality by having the most conducive home environment that matches their current feeling, whether they are happy, sad, neutral, or tired.

Next Generation harmony home living consists of several hardware which are a camera that will be placed in the front of the door which will keep track of the home resident's facial expression before they enter the house, a control box that receives the command from the camera and controls all the IoT based home appliance in the house.

This project utilizes an artificial intelligence which is the Convolutional Neural Network (CNN), a deep learning algorithm that will be used to train the AI model that will be used to recognize the home resident's facial expression as its main specialty. Traditional IoT home appliance requires the home resident to log in to the system, control their devices based on their needs. On the other hand, this system can determine the most conducive home situation for the home resident based on their current facial expression detected. For example, the suitable light brightness level and music to bump up the home resident's feeling.

Gallery

Gallery

Demo

Demo

Other Project

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Contact Us:

School of Computer Sciences
Universiti Sains Malaysia
11800 USM Penang, Malaysia
Tel: +604-653 3647 / 2158 / 2155
Fax: +604-653 3684

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