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—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 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— 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—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— Internet of Things (IoT) consists of devices that connect to the internet and communicate with each other. It enables these devices to collect and exchange data with a consumer. This paper presents an IoT-based Smart Garden with Weather Station system, which can be used to monitor the growth of plant every day and predict the probability for raining. Why this IoT-based device is been created? Many people are interested in growing the plants are always forget on watering the plants. Hence, in this study, the device is equipped with a water pump, where it can be monitored and controlled by using a smartphone. In addition, the devices also consist of four main sensors, which are Barometric Pressure, DHT11 Temperature, and Humidity Sensor, Soil Moisture Sensor and Light intensity module sensor. The Soil and Light Intensity sensor used to measure the value by percentages. Besides, two actuators, which are the water pump and LED light can be used remotely or by using a button on the devices. The LED is purposely to replicate the sunlight and make the plant grow faster. This IoT-based Smart Garden with Weather Station System can record the data and send the result to user through the smartphone application named as Blynk apps. This research is beneficial, and the system can be easily managed by all users such as researcher or farmer, and children.

Abstract-- In the advancing world, it is very crucial to protect our environment. Many incidents of man-made and natural disasters were happening around the world. Forest fires are one such catastrophe for environment. Once the fire inside deep forest starts, it burns and destroys everything and spreads everywhere within the forest. Fire spreads on hot days destroys trees and grasses due to drought conditions peaks in a forest region. Such forest fires disasters should be curbed in order to protect fauna and flora habitats in the forest. The objective of this work is to design and implement an IoT based system which is self-sustaining and would predict and detect the forest fires and sends the exact location to concerned officials which would help fire fighting personnel to extinguish the fire in the location where it starts slowly. This would prevent the fire to spread over a huge area and also able to take precautionary measures in order to prevent the fire which may occur in near future.

Abstract—with every enhancement in Internet in terms of speed and bandwidth, IOT (Internet Of things) is taking the market on a new node and knocking the door with new opportunities of inventions.This paper talks about an energy saving electrical device Surveillance and Control system based on IOT.A large amount of energy is consumed by lighting appliances, so making improved efficiency and quick fault detection is a significant challenge.In this work, two different model approaches is followed depending on the nature of application.For small areas or confined premises IEEE 802.11 wireless technology is used where all the appliances is connected to a common Wi-Fi network.In the second model like street lamp pole where number of appliances grows only in one direction, wired configuration is used to avoid range issue.

Abstract: In the living world technology is evolving day by day in different fields like artificial intelligent, machine learning, virtual 1reality, touch commerce, internet of things and so on. The main motive of the paper is focus to the customer needs and purpose because time is more important to everyone in the real world. But the people spend the more time in the supermarket. For example, consumers purchase the number of items in the supermarket using trolley. After purchasing they can face some problems like waiting the long queue in billing section and without knowing about the calculation of purchased items. So, we can consider these problem to find the remedies called as ”Intelligent shopping cart using BOLT based on IOT”. Our IOT kit consists of barcode scanner, LCD display, Bolt ESP8266. The broad clarification of its process is, when consumer takes an item and put inside the trolley, that time barcode scanner scan the item barcode and value as well as gain to show into the digital display panel. Later than consumer concluded their purchasing and the bill is send to the counter section. It will save the time and consumer early itself knowing the calculation of purchased items.

Abstract—Internet of Things (IoT) is a worldwide system of “smart devices” that can sense and connect with their surroundings and interact with users and other systems. Global air pollution is one of the major concerns of our era. Existing monitoring systems have inferior precision, low sensitivity, and require laboratory analysis. Therefore, improved monitoring systems are needed. To overcome the problems of existing systems, we propose a three-phase air pollution monitoring system. An IoT kit was prepared using gas sensors, Arduino IDE (Integrated Development Environment), and a Wi-Fi module. This kit can be physically placed in various cities to monitoring air pollution. The gas sensors gather data from air and forward the data to the Arduino IDE. The Arduino IDE transmits the data to the cloud via the Wi-Fi module. We also developed an Android application termed IoT-Mobair so that users can access relevant air quality data from the cloud. If a user is traveling to a destination, the pollution level of the entire route is predicted, and a warning is displayed if the pollution level is too high. The proposed system is analogous to Google Traffic or the Navigation application of Google Maps. Furthermore, air quality data can be used to predict future air quality index (AQI) levels.

Abstract—Dams are of major importance, primarily because of their use for generating hydroelectricity and irrigation purposes. This has resulted in the construction of a number of dams in potential areas over the years. As there are a lot of risk factors associated with the existence of these dams, it has become the need of the hour to develop a proper monitoring and regarding the opening of the shutters thereby management system for maintaining a safe water level in dams. Mismanagement of dams can lead to manmade disasters. Currently dams in our state are being monitored and controlled manually. This manual intervention can increase the probability of error and also results in time lag in decision making. The aim of this project is to design and implement an IoT based Disaster Monitoring and Management System for Dams (IDMMSD). The proposed system involves real-time monitoring of water levels of a group of dams under study. Water levels may vary due to drastic changes in water levels of connected rivers or lakes, or due to excessive rainfall in the catchment area. The proposed project includes a mechatronics system to open the shutters at the heights pre calculated. The system comprises of sensor nodes, smart controller and communication system. The proposed system is an app based IoT system which will monitor and send real time parameters related to Dam (gate position, water discharge, water level) and weather conditions (rain fall, temperature, humidity). There will be two modes for operating the software i.e. Autopilot mode and Manual data mode. The system also includes features like SMS alert to the people of the locality and S

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.

the main aim of this project is be adjusted based on room occupancy levels using demand controlled ventilation (dcv) and real time visitor monitoring.

The main objective of this project is to create a user friendly waste management system using GSM technology.