Development of a smart home energy saving system combining multiple smart devices

Chen, Ming-Tang; Lin, Chun-Yeon

doi:10.1109/icce-tw.2016.7521072

Cited by 11 publications

(3 citation statements)

References 5 publications

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“…Moreover, image processing technology can be applied to intelligent home energy management. For example, by monitoring and analyzing indoor lighting conditions in real-time, systems can automatically adjust curtains and lighting to achieve more efficient energy utilization [19]. Simultaneously, IoT technology advancements have facilitated collaborative work among intelligent home devices, such as air conditioning, lighting, and security systems, which can share information and work together to create a more intelligent home environment [20,21].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Home Scene Recognition Based on Image Processing and Internet of Things

Liu¹,

Liu²,

Liu³

2023

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Intelligent home systems interconnect various devices within the home using Internet of Things (IoT) technology. In order to achieve the objectives of remote control, automated management, and intelligent services, these systems require robust scene recognition capabilities. However, the accuracy and real-time performance of current image processing algorithms in complex environments and diverse scenarios remain to be improved. Additionally, the interoperability and security issues among intelligent home devices are challenging to address. Therefore, this study delves into the scene recognition technology of intelligent homes based on image processing and IoT. A GLN network is constructed to process multi-view images of intelligent home scenes, enabling the determination of subregion positions within the scenes. A model aggregation algorithm based on distributed learning is proposed, selecting intelligent home edge devices as the intelligent nodes of the IoT. By processing data and training models on these intelligent nodes, distributed intelligent home scene recognition is achieved. A dual-channel deep neural network-based intelligent home scene recognition model is constructed, and experimental results verify the effectiveness of the proposed model.

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Section: Introductionmentioning

confidence: 99%

Intelligent Home Scene Recognition Based on Image Processing and Internet of Things

Liu¹,

Liu²,

Liu³

2023

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“…As we are developing more and more smart products the demand of energy is increasing rapidly, energy is required to run each and every device. So, to ensure the maximum and efficient use of energy, many authors have stated the concept of automatic and smart control of lighting and electrical products [8,10,12]. These devices turn on and off automatically without the interference of any human.…”

Section: Introductionmentioning

confidence: 99%

A Formal Model for Smart Living Room

Abbas¹,

Waqas²,

Hussain³

et al. 2022

Research Journal Of Computer Science And Information Technology

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we are living in an era full of technology and the most powerful feature behind this technology is the communication between two or more things. We achieved globalization with the power of digital computers and their ability to communicate. The next shape of computers for interactive remote processing is internet of things or wireless sensors network and for data storage it is cloud. These tiny computers with heterogeneous characteristics are very helpful in making environment smart and interactive in different ways. In this paper, we are proposing an Ambient Intelligence architecture for safety and energy efficiency using sensors, further we are formalizing the architecture for its accuracy and reliability. The three major sensors are smoke sensor for safety, glass break detector sensor for security, motion sensor for energy efficiency. In addition, the working of all sensors is also formalized for its correctness.

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“…The entities of the IoT plan to accumulate and process the data. This layer accustom sensors and actuators to perform distinctive functionalities, for example querying data, temperature, weight, movement, vibration, increasing pace, humidity [10]. For the configuration of distinct physical objects in the perception layer aims for the standardization mechanisms.…”

Section: Architecture Of Internet Of Thingsmentioning

confidence: 99%

A Smart Home Automation system using IoT and Open Source Hardware

Tejesh¹,

Neeraja²

2018

IJET

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In the era of Internet of Things, the information will be exchanged without the intervention of human. The manual systems are transforming into smart systems with the incorporation of IoT. The remote superintendence of electrical devices and sensors in the home environment with the employment of the internet is called as home automation. The electrical devices like bulb, fan and the sensors like temperature sensor, gas sensor, flame sensor, PIR sensor, current sensor are monitored and controlled by the user remotely with the employment of IoT technology. The implemented system, has both the transmitter and receiver section. In the transmitter section the information from room 1 and room 2 will be gathered at the central server. The Arduino Uno and ESP8266 plays a significant role in the transmitter section. The Raspberry Pi central server facilitates the gathered information to the user in a Graphical user interface.

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Development of a smart home energy saving system combining multiple smart devices

Cited by 11 publications

References 5 publications

Intelligent Home Scene Recognition Based on Image Processing and Internet of Things

Intelligent Home Scene Recognition Based on Image Processing and Internet of Things

A Formal Model for Smart Living Room

A Smart Home Automation system using IoT and Open Source Hardware

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