doi: 10.17706/jsw.12.7.546-558
Multi-effectiveness Smart Home Monitoring System Based Artificial Intelligence through Arduino
Abstract—The growing presence of electronic systems and devices within the residential environment, Along with human desire to simplify the daily routine of life, these things combined have generated a growing interest in the pasture of home automation and smart environments. Home automation refers to the control of the local home appliances and features across the local network or via remote control. Artificial Intelligence equips us with the framework to make a decision in real-time automation of the Internet of things. This paper provides a lower cost, safe and flexible integrated home automation and security system. It anticipates an integral part of the Arduino microcontroller and 1 Shield, by means of access and control of devices and appliances remotely. In order to prove the practicability and effectiveness of this system, the Arduino device controls sensors and motors that monitor a specific location and take appropriate action based on specific parameters such as ambient lighting, temperature etc. Arduino can also send alerts if it detects any abnormalities. Voice recognition allows the user to use voice commands to control home devices such as light switches, power plug, and temperature sensors, gas sensors and motion sensors that have been incorporated with the proposed home control system. In this modern era, it will be a good application for people paralyzed and domestic security. The smart home system has been experienced and proven to be capable of performing intelligent home processes such as switching functions, automatic environmental control, and intrusion detection, in a later case where an email message, message, image and siren are generated and sent to the mobile phone.
Index Terms—Arduino, artificial intelligence, home automation, sensors, voice recognition.
Cite: Heba M. Fadhil, Abdullah Kadhum, Rafah Abdulkadhum, "Multi-effectiveness Smart Home Monitoring System Based Artificial Intelligence through Arduino," Journal of Software vol. 12, no. 7, pp. 546-558, 2017.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Biannually
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
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