Abstract—With the growing technology, the demand for smart things is drastically increased in daily-life. The IoT (Internet of Things) is one of the major components that provides facility to interact with IoT enabled devices. In this work, we propose a secure and efficient smart home system that enable to protect homes from theft or unusual activities and parallelly saves power. Our system is developed by exploiting the features of IoT that facilitates us to monitor an IoT enabled home from anywhere anytime over the Internet when data are stored in the cloud. This system uses a motion detector to detect a moving object from the environment where the system is deployed. The proposed system is evaluated using real-time deployment at KU campus considering 30 rooms for 60 days and found really useful in terms of safeness from any theft and saving power in comparison to existing systems.

Abstract: A large number of sanitation workers die every year due to erratic and lack of facilities available, and harmful toxic gases released while cleaning the sewage. Real time health monitoring systems for such workers will prove helpful. This real time health monitoring device will work in a sewage as a safety equipment. In this paper, the device presented will monitor the pulse rate of a person using a pulse oximetry sensor, the methane concentration and the atmospheric oxygen concentration and provide alert to worker and exterior unit. when parameters deviate from the safe range. This parameters in real time will promptly alert the workers to stay safe and detect toxic gases before any harm.

Abstract—In modern society, we often spend 5 to 10 minutes trying to find a spot in a parking garage. Parking garages are commonplace, but they are extremely inefficient. According to a study done by Inrix, the authority on vehicles and transportation, over 70 billion dollars are wasted every year searching for parking. In that process, we waste 3.6 billion hours of time and 1.7 billion gallons of fuel. That is a lot of wasted resource. In this project, I propose a novel parking management system, which consists of hardware and software modules. On the hardware side, Raspberry Pi device is used along with few other parts like sensors and cameras. On the software side, python modules are implemented with efficient data-management. To test the system, I have modeled different possible actions of the drivers and ensured that the proposed parking system performs perfectly. I have outlined three core situations. First one is when drivers park correctly, the second one has error-correction, and the third one requires error correction involving multiple cars. This system can be used in any large parking structure in the modern smart cities. Some examples are hospitals, companies, downtown, airports, malls, events etc. The system is affordable, as the hardware-cost is about $200 for each parking spot.

Abstract—This paper presents a control strategy that uses the Internet of Things (IoT) technology to manage a smart-grid framework including a solar desalination facility and a group of greenhouses that demand water for irrigation. In addition, the water public utility network has also been considered an agent of this smart-grid framework. The controller is based on a Model Predictive Control (MPC) strategy which uses information, by means of an IoT platform, coming from each one of the facilities included in the smart-grid to calculate the optimal control actions in the Cloud. Simulation results are shown to demonstrate the efficiency of the proposed method.

Abstract—The need for smart home warning systems is in high demand nowadays as they are used to warn owners about undesired situations that could happen while they are far away from their homes. This paper aims to present the design and implementation of an Arduino based smart home warning system. In this system, Arduino Uno microcontroller has been used with several compatible sensors (DHT22, MQ2, and camera), actuators (buzzer and relays with attached water valve, air fan, and light bulb), and GSM as a wireless communication medium to enable the interaction between users and the proposed system. The experimental results of using the proposed system show that a variety of undesired events can be detected efficiently. Fire, gas leakage, and housebreaking situations can be detected and users get notified about them via SMS messages, emails with attached pictures, etc. Besides, some proper actions can also be performed by the proposed system including stopping fire via water and decreasing gas concentration via air ventilation. The proposed system is very useful to prevent losses in resources and human life caused by unwanted events.

Abstract—Now science and technology are developing rapidly, and the microelectronics, wireless, and network technologies are also developing rapidly. At the same time, people's living standards are constantly improving, and the requirements for the safety and convenience of the places where they live are becoming higher and higher. In smart residential buildings, people are more in urgent need of a new type of wireless doorbell product, which can integrate the advantages of reliability, security, convenience and so on, so the design of intelligent voice message doorbell has become a hot spot. The design consists of STC89C52 single-chip microcomputer circuit, 315M wireless module circuit, voice recording and playback circuit, music chip circuit key circuit and power circuit. Wireless data transmission is carried out by the 315M wireless remote control module, which has a long transmission distance and strong anti-interference ability. Outsiders can record voice and leave messages through the recording module. This system has low price, relatively stable performance, wide application range, and very promising market

Abstract— Providing a security system for any electrical equipment has become a vital interest in which the latest technologies are being adopted to serve this purpose. University classrooms usually implement automatic door lock attached with a sensor to enable access into the classroom. The access door needs a more autonomous, integrated, and intelligent functionality to improve smart classroom’s usability. This work presents the development of a secure door lock system by utilizing Quick Response (QR) technology and Raspberry Pi processor for accessing the university laboratory or classroom where the authorized person will also be able to monitor who have accessed to the classroom or laboratory. The data logging system is developed to track the ingoing and outgoing activities when accessing the security door from the web-based website server. In this vein, the authorized individuals are only the ones who will get the permission to access the doors. This is a preliminary work to test the system’s functionality to be used for different properties and facilities such as office, classroom and laboratory. Based on the result and data collection, the testbed development has worked properly as an initial s

Abstract— The application of effective techniques like facial recognition and object detection in the domain of IoT has revolutionized the levels of control and accuracy sensors have had for a variety of purposes. Face recognition modules have established their immense usefulness, and their impact has overweighed most other traditional forms of access control. It remains one of the most secure methods to authenticate human beings to grant them access to restricted areas or systems in an organization. However, this incomparable rise in accuracy comes with a relatively huge price. The algorithms used in facial recognition are complex mathematical functions that are iteratively performed on vast volumes of data continuously. In IoT applications, the embedded systems that run these algorithms are at all times clocked to their maximum processing power, they need not run in cases when there are no humans are present in the vicinity. This is inefficient, especially in systems that need to perform face recognition round-the clock for authentication. This paper proposes a simple, intuitive and efficient solution to conserve the processor from being clocked to its maximum throughput without compromising on the high level of security that the face recognition algorithm offers.

Abstract— Currently, safety of women is a paramount concern all over the globe. Particularly in India, crime against women is increasing rapidly on hourly basis. With the advancement of technology, many solutions have been developed to curb this serious issue. A swarm of IoT (Internet of Things) software applications is available which are programmed for helping the women in unfavourable circumstances by sending alert messages to the registered contacts. Similarly, there are smart hardware gadgets accessible which comprises of sensors and microcontrollers that can sense the unsafe situation. These gadgets can produce screaming alarm or produce electric shocks to the assailant.

Abstract: Green technology for economically viable engineering designs and sustainable environment is highly desirable for future smart city applications. An intelligent system for operating and controlling lighting in order to save energy is developed and presented in this article. The system is implemented on Alibaba Cloud IoT platform on STM32 development board using STM32 medium-density performing microcontroller with high performance ARM® Cortex®-M3 RISC core. It includes communication between wireless sensors and actuators, and control of light sources. The HC-SR501 human infrared sensor is also used for detecting people and BH170 photosensitive sensor for synthetic brightness detection. The system includes indicators to represent three orders of magnitude of temperature sensor reading. The system developed in this work also features (i) an OLED display unit enabling users to view sensed data easily and (ii) Web platform-based User Interface (dashboard) for allowing users to easily interact with the system. The overall system provides a practical and interactive solution for data visualization and to remotely control light sources.

Abstract— The term used for networking of objects, equipment, vehicles, and other electronics device into the network for information exchange purpose is called Internet of Things (IoT). Nowadays, IoT is widely used for connecting device and collecting data information. Therefore, the use of IoT is very relevant for agriculture. The project is about smart agriculture system that is implemented with IoT. The system is combined with irrigation system in order to cope with the unpredictable weather in Malaysia. Raspberry Pi 4 Model B is used as the microcontroller of this system. DHT22 and soil moisture sensor is used to detect the temperature and humidity in surrounding and moisture level of the soil respectively where the output will be displayed on smartphone and computer. So, Smart Agriculture Systems using Internet of Things with Raspberry Pi brings a tremendous impact on the farmer’s working method. Plus, it will also bring a positive effect on the crop production in Malaysia. Where about 24.44% water savings rate in a year can be achieved when using IoT-based irrigation systems compared to traditional irrigation systems. This would save the expenditure for hiring workers and avoid water wastage in daily needs.

Abstract—Cultivation is the fundamental wellspring of pay of the general population in a nation like India adding up to 15-16% of the Gross domestic product of the nation. As per the financial overview of India 2018, around 55% of the number of inhabitants in India relies upon cultivating as their wellspring of occupation pay and time has come to acquaint a few changes with supplant those conventional cultivating rehearses with the development of money trims under computerized nursery utilizing IoT through remote sensors, actuators, microcontroller, raspberry pi, GSM module and associating links. In this paper, we have proposed a low cost greenhouse prototype model which can be afforded by the Indian farmers for the cultivation of cash crops such as saffron, vanilla, sugarcane, etc. and they can carry out the cultivation under this automated greenhouse thus improving their social, economic and financial condition by a great extent.

Abstract— A great demand of modern earth is to get everything within a very short time. At present situation, people want to realize their current health condition and also want proper care rapidly. But older and disabled people are very incapable without someone’s help. Even they have to face so many difficulties to inform someone about their health condition. To solve this problem a smart and automobile system has proposed. The proposed system consists of health monitoring systems with body temperature and heartbeat measurement. This health monitoring system displayed temperature and heart rate data on an LCD, it also sends an automatic notification to caretakers or doctors. A fall detection system is added to abstain from unintentional injury and death for old and disabled persons. When the data crossed the normal value and the fall detector detects the fall that times the system send an automatic notification. This paper will focus on basic health monitoring and caring system for older and disabled people.

Abstract—LPG is widely used for cooking in many countries for economic reasons, for convenience or because it is the preferred fuel source. This paper focuses on the application of the IoT which is used for measuring and displaying the gasoline content present in household LPG cylinder and this is helpful in automatic booking of new LPG cylinder and also detect the gas leakage. Usually the capacity of LPG in Cylinder is not determined, so we are going to display the level of LPG. The level of LPG is measured using load sensor (SEN-10245). The output of the sensor is connected with Arduino R3.By use of GSM Module, the information is sent to user by SMS (short messaging service) and also automatic booking is done by dialing the registered gas booking number. Then the gas leakage is detected by gas sensor (MQ-6). By using this, we can detect the current LPG level and it is continuously displayed on the LCD. We can know the validity of LPG usage from the date of initialization. By use of IOT the user is alerted by giving the message to their mobile phone when the LPG level is critically low(below 20%).Automatic booking of new LPG by auto dialing of gas booking number and by this we prevent pre-booking and late booking. Then by detecting the gas leakage we can prevent the LPG gas burst accidents in the home.

Abstract—The Integrated Smart Parking System (ISPS) in corporates detection of empty parking spot and inappropriate parking, finds the available and different kind of parking spaces in various zones and suggest the most shortest way to reach the location. The ISPS mainly focuses on minimizing the time and maintaining a strategic distance from unnecessary traveling. There are lots of smart parking systems and a greater part of the solutions are following the conventional design approach focusing on a single parking center. However, existing single parking concentrating approached framework can’t satisfy the prerequisites of the incorporated smart parking system. In this study, for ISPS the structure has been defined with the utilization of best innovations. The ISPS can help the users to search the unoccupied spaces in the user-specific area within a very short time and also can suggest the nearest location from user destination. Additionally, ISPS supports the users with automated management of parking spaces and cares about fuel utilization.

Abstract—Smart home refers to a house in which a number of interconnected devices and home appliances are performing certain actions in order to monitor energy, optimize its usage and thus save money. A smart home represents also a home that satisfies its needs in an intelligent and flexibles ways, responding to the needs and comfort of its dwellers, enabling them to control and manage consumption of their own green energy sources. The aim of this article is to present a cost effective energy management system design and implementation suitable for frugal smart cities and smart villages. The proposed architecture is implemented and tested at our Lab..