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IoT Based Smart Home Automation System


Affiliations
1 Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
     

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As technology advances, it makes life easy and straightforward by solving many of the real-life problems which are faced by people in their daily life. Various types of technologies are used to improve the life of humans. Hence, this paper has used one of the technologies to ease the life of humans i.e. IoT. This paper represents IoT (Internet of Things) for the smart home automation system. There are many proposed systems which make the home easy to live in. But this paper tells about the newer advanced system. This paper tells the usage of motion detection technique to perform light on/off, MQ2 sensor for gas detection, machine learning for facial expression detection, and motor for facade opening/closing, motor for room rotation and last the website “ThingsBoard” to collect the whole data at one place. The main goal of this paper is to provide full security with innovation at home.


Keywords

Raspberry Pi, Relays, Sensor, Motor, MCP3208 IC, Face Detection, Face Recognition, ThingsBoard, Android.
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  • IoT Based Smart Home Automation System

Abstract Views: 246  |  PDF Views: 1

Authors

Aakriti Tyagi
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Smita Deshmukh
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Gayatri Dindokar
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Shraddha Kale
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Mayur Karale
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India
Bhagyashree Dhakulkar
Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Savitribai Phule Pune University, Pune, Maharashtra, India

Abstract


As technology advances, it makes life easy and straightforward by solving many of the real-life problems which are faced by people in their daily life. Various types of technologies are used to improve the life of humans. Hence, this paper has used one of the technologies to ease the life of humans i.e. IoT. This paper represents IoT (Internet of Things) for the smart home automation system. There are many proposed systems which make the home easy to live in. But this paper tells about the newer advanced system. This paper tells the usage of motion detection technique to perform light on/off, MQ2 sensor for gas detection, machine learning for facial expression detection, and motor for facade opening/closing, motor for room rotation and last the website “ThingsBoard” to collect the whole data at one place. The main goal of this paper is to provide full security with innovation at home.


Keywords


Raspberry Pi, Relays, Sensor, Motor, MCP3208 IC, Face Detection, Face Recognition, ThingsBoard, Android.



DOI: https://doi.org/10.36039/AA032020001.