Design and implementation of smart home system based on IoT

•Implement a smart home system with a security system that can sense fire, harmful gases and earthquakes and sound an alarm.•The system solves the problems of complex operation, home safety and digital divide when used by the elderly and children.•The system implements voice control, fall detection,...

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Veröffentlicht in:Results in engineering 2024-12, Vol.24, p.103410, Article 103410
Hauptverfasser: Chen, Yinyan, Zhang, Hong, Zhong, Shijie
Format: Artikel
Sprache:eng
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Zusammenfassung:•Implement a smart home system with a security system that can sense fire, harmful gases and earthquakes and sound an alarm.•The system solves the problems of complex operation, home safety and digital divide when used by the elderly and children.•The system implements voice control, fall detection, GPS positioning, touch-screen alarm control and intelligent remote control functions.•The recognition accuracy is improved by innovatively adding face entry, realizing low-cost remote video monitoring.•By changing the writing method of the display module, the CPU performance requirement is reduced and the cost is saved. With the continuous development of Internet of Things technology and AI technology, a new generation of smart home systems is being promoted. Traditional smart home devices are complex to operate, resulting in high learning costs. They also lack security and reliability, and cannot guarantee the use and safety of the elderly and children, limiting their popularity. This system is based on ATMEGA2560 and IoT to design and implement a smart home system suitable for people of all ages. It solves complex operation problems through voice control, solves safety problems through fall detection, GPS positioning and light alarm control, and improves reliability through intelligent remote control. In addition, the system can sense fire, hazardous gases, and earthquakes and sound an alarm. The system reduces CPU occupancy time by changing the writing mode of the display module, thereby reducing the system's requirements for the processor and reducing the processor cost. In image processing, by recording a large number of faces, the recognition accuracy can be improved, the requirements and costs of image processing chips can be reduced, and low-cost remote video monitoring can be achieved.
ISSN:2590-1230
2590-1230
DOI:10.1016/j.rineng.2024.103410