Sistem Keamanan Gedung Menggunakan Kinect Xbox 360 Dengan Metode Skeletal Tracking

2021 ◽  
Vol 5 (6) ◽  
pp. 1137-1142
Author(s):  
Hamdi Alchudri ◽  
Zaini

The incidence of fire and theft is very threatening and causes disruption to people's lifestyles, both due to natural and human factors resulting in loss of life, damage to the environment, loss of property and property, and psychological impacts. The purpose of this study is to create a building security system using Kinect Xbox 360 which can be used to detect fires and loss of valuable objects. The data transmission method uses the Internet of Things (IoT) and skeletal tracking. Skeletal detection uses Arduino Uno which is connected to a fire sensor and Kinect to detect suspicious movements connected to a PC. Kinect uses biometric authentication to automatically enter user data by recognizing objects and detecting skeletons including height, facial features and shoulder length. The ADC (Analog to Digital Converter) value of the fire sensor reading has a range between 200-300. The fire sensor detects the presence of fire through optical data analysis containing ultraviolet, infrared or visual images of fire. The data generated by Kinect by detecting the recognition of the skeleton of the main point of the human body known as the skeleton, where the reading point is authenticated by Kinect from a range of 1.5-3 meters which is declared the optimal measurement, and if a fire occurs, the pump motor will spray water randomly. to extinguish the fire that is connected to the internet via the wifi module. The data displayed is in the form of a graph on the Thingspeak cloud server service. Notification of fire and theft information using the delivery system from input to database

Author(s):  
R. I. Minu ◽  
G. Nagarajan

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.


Informatics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 40
Author(s):  
Evgenia Princi ◽  
Nicole C. Krämer

Smart technology in the area of the Internet of Things (IoT) that extensively gathers user data in order to provide full functioning has become ubiquitous in our everyday life. At the workplace, individual’s privacy is especially threatened by the deployment of smart monitoring technology due to unbalanced power relations. In this work we argue that employees’ acceptance of smart monitoring systems can be predicted based on privacy calculus considerations and trust. Therefore, in an online experiment (N = 661) we examined employees’ acceptance of a smart emergency detection system, depending on the rescue value of the system and whether the system’s tracking is privacy-invading or privacy-preserving. We hypothesized that trust in the employer, perceived benefits and risks serve as predictors of system acceptance. Moreover, the moderating effect of privacy concerns is analyzed.


Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.


Author(s):  
Mohammad Haasin Farooq ◽  
Muhammad Zain ◽  
Muhammad Bilal Khalid ◽  
Saima Zafar

The Internet of Things (IoT) has dominated the digital world by enabling thousands of physical devices to communicate with each other and share useful data over the Internet. With use cases spanning every sphere of modern life, the IoT is all set to revolutionize the traveling sector by extending services associated with safety, security, surveillance, tracking, comfort, and a lot more. This paper presents the design and implementation of a prototype Easy-Weigh-Out, based on the principles of the IoT which enables a user to run Android-based mobile application and view the weight of luggage and track its location without any contact with it. The hardware of the system is built around Arduino UNO microcontroller which interfaces with a load cell (20 kg) via A/D converter and a NEO-6M Global Positioning System (GPS) module for tracking of the bag. The system uploads data to a Cloud server using ESP8266 Wi-Fi module. Our results show the real-time weight and tracking of the bag at a click of a button as well as long-term data logging.


Sensors ◽  
2019 ◽  
Vol 19 (20) ◽  
pp. 4483 ◽  
Author(s):  
Iago Sestrem Ochôa ◽  
Luis Augusto Silva ◽  
Gabriel de Mello ◽  
Bruno Alves da Silva ◽  
Juan Francisco de Paz ◽  
...  

With the popularization of the Internet-of-Things, various applications have emerged to make life easier. These applications generate a large amount of user data. Analyzing the data obtained from these applications, one can infer personal information about each user. Considering this, it is clear that ensuring privacy in this type of application is essential. To guarantee privacy various solutions exist, one of them is UbiPri middleware. This paper presents a decentralized implementation of UbiPri middleware using the Ethereum blockchain. Smart contracts were used in conjunction with a communication gateway and a distributed storage service to ensure users privacy. The results obtained show that the implementation of this work ensures privacy at different levels, data storage security, and performance regarding scalability in the Internet of Things environments.


Author(s):  
M.Y Braginskii ◽  
◽  
D.V. Tarakanov ◽  

The article presents the process of design of educational project to create an automated control system of the greenhouse complex, which includes a controller with sensors, as well as a cloud server with a universal web-interface for displaying data from sensors. All developments within the framework of the research were carried out on the basis of modern, free-distributed technologies of the Internet of things. The use of these technologies made it possible to implement a working version of a prototype controller for monitoring parameters of the greenhouse complex, with the least expenditure of resources.


Author(s):  
Monika Bharatbhai Patel ◽  
Chintan M. Bhatt ◽  
Hamed Vahdat-Nejad ◽  
Hardik B. Patel

The internet of things can involve a huge number of connected devices and sensors for the betterment of our lives and businesses. Sensors are the main part of IoT. The main target of this chapter is to develop an IoT-based information observing system for specific areas like home, cities, industries, hospitals, etc. In this system, the environmental data of different elements, for example, temperature, humidity, pressure, should screen and get a redesign with a particular time interval. The authors use Raspberry Pi 3 and MQTT to observe information over a remote area and get an update with it anyplace in the world. They transmit the environmental data to the cloud server sent by Raspberry Pi 3. There, the authors can monitor data in both modes (online and offline).


Author(s):  
B. Revanth Reddy ◽  
S. Roji Marjorie ◽  
P. Ramakrishna

Acoustic stethoscopes have low sound levels. Digital stethoscope overcomes this issue by amplifying body sounds electronically. As the sound signals are transmitted electronically, it can be wireless and can provide noise reduction. Acoustic stethoscope can be changed into a digital stethoscope by inserting an electric capacity microphone onto its head. Heart sounds received from the microphone are processed, sampled and sound signals are converted analog to digital and sent wirelessly using the Internet of Things(IOT) techniques, so that multiple doctors can do auscultation and monitor conditions of the patient.


2022 ◽  
Vol 8 (2) ◽  
pp. 164
Author(s):  
Ahmad Mukhaidir Shidiq ◽  
Purwito Purwito ◽  
Ruslan Ruslan

With the advancement of technology today, there is known to be an innovation that is the internet of things where electronic devices can be monitored and controlled remotely. For this reason, the practicum module of internet of things-based lighting installation as a medium of learning for students. The workings of the tool will be made using the PZEM-004T sensor as a sensor reading the current voltage, power, and energy used and ESP-32 as an additional module on the Arduino Mega so that data reading voltage, current and power can be sent using the internet network to the smartphone. In the smartphone application, we can also control to extinguish or turn on the lights.


Author(s):  
Víctor H. Benítez ◽  
◽  
Gustavo C. Soto ◽  
Luis C. Félix-Herrán ◽  
Jesús Pacheco

Nowadays, the Internet of Things is used to transfer information from human to human and from human to machine. In this paper, we propose the use of IoT platforms to link those homes that are equipped with IoT capabilities, in order to increase security and prevent from a crime to a fire, and even monitor health status of a person. Using a microcontroller, it is possible to send information to a cloud server capable of sharing this information with other households connected to the platform, as well as allowing linking this data to one of the most used social networks in the world: Facebook. Linking smart homes with social network, allows to consult the status of sensors and IoT devices empowering citizen security against crime, violence and events that could put the integrity of people at risk both in their property and their health. The study is carried out for a particular region of Latin America, given its high rates of violence against citizens that have occurred in recent years.


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