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Accident and alcohol detection in bluetooth enabled smart helmets for motorbikes

Abstract:

With the growing number of 2-wheel motor vehicles, frequency of accidents is on the rise. A major portion of the fatalities occur because the person was either not wearing a helmet, or his accident was not reported in time, and he could not be saved because of the delayed admittance to a hospital, or because he was riding while drunk. We propose mechanisms that can detect if one is wearing the helmet, detect accidents, and detect whether the person has over-consumed alcohol. For this purpose, we use onboard sensors – flex sensor, impact sensor, accelerometer (ADXL355) and breath-analyzer (MQ3). The accelerometer measures the change in tilt, in X Y and Z axes respectively, and sends the data to a server via an online application programming interface (API). The breath analyzer senses the amount of alcohol present in the breath of a person wearing the helmet and reports if it is beyond the legal limit. The server also uses the data gathered from the accelerometer and the pressure sensors, to train a support vector machine (SVM). This can help optimize accident detection in the future when enough data is gathered to provide reliable accuracy. The helmet can connect to any smartphone via Bluetooth, to communicate with the online API, using the internet connection of the smartphone. This will ensure the holistic safety of the rider at all times.

Wheel therapy chair: A smart system for disabled person with therapy facility

Abstract:

Each and every person in this world has a desire to live a normal human life but accidents, diseases, elder-ship make their desire into disability. Moreover, there are lots of handicaps and elders as well as the number of paralyzed people are increasing day by day. They always need another person in moving and have to go under some physical therapies under the guidance of a therapist to recuperate their strain back. In this paper the proposed system helps them to move freely & safely and also takes the activities of a therapist in a cost effective manner. This system is a combination of different controlling features, has the ability to detect obstacle and provides few kinds of therapies. A smart wheelchair is developed by using voice recognition system to control the movement of wheelchair and also with Arduino interfaced joystick. Besides, an ultrasound system provides the facility of automatic obstacle detection. The aim of research is to compact many facilities in a single wheelchair at low cost.

Sound Identification for Fire-Fighting Mobile Robots

Abstract:

A structure engulfed in flames can pose an extreme danger for fire-fighting personnel as well as any people trapped inside. A companion robot to assist the fire-fighters could potentially help speed up the search for humans while reducing risk for the fire-fighters. However, robots operating in these environments need to be able to operate in very low visibility conditions because of the heavy smoke, debris and unstructured terrain. This paper develops an audio classification algorithm to identify sounds relevant to fire-fighting such as people in distress (baby cries, screams, coughs), structural failure (wood snapping, glass breaking), fire, fire trucks, and crowds. The outputs of the classifier are then used as alerts for the fire-fighter or to modify the configuration of a robot capable of navigating unstructured terrain. The approach used extracts an array of features from audio recordings and employs a single hidden layer, feed forward neural network for classification. The simplicity in network structure enables performance on limited hardware and obtains classification results with an overall accuracy of 85.7%.

A low cost outdoor assistive navigation system for blind people

Abstract:

With over 39 million visually impaired people worldwide, the need for an assistive device that allows the blind user navigate freely is crucial. We have developed an off-line navigation device that uses 3-D sounds to provide navigation instructions to the user. Our device relays directional information to the user through special Audio Bone headphones, which use bone conduction technology. Sounds are recorded and can therefore be selected by the blind user. Navigation processing is handled by a Raspberry Pi. We are using a magnetic compass and gyroscope to calculate the direction that the user is facing. Route queries of the destination address are geocoded using the Geo-Coder-US module and passed to the MoNav module to generate a pedestrian route. Additional capabilities of the device include speech recognition and voice prompts for obtaining the user’s desired destination address. The user can input the address b y speaking into a microphone. The entire system is mounted to a pack that sits on the user’s waist. It is very light and portable and it does not impede any of the user’s senses while it is being used.

Anti-theft protection of vehicle by GSM & GPS with fingerprint verification

Abstract:

Recently vehicle tracking system is getting vast popularity because of the rising number of the stolen vehicles. Vehicle theft is happening on parking and sometimes driving in unsecured places. This research work explores how to avoid this kind of stealing and provides more security to the vehicles. The implemented system contains single-board embedded system which is equipped with global system for mobile (GSM) and global positioning system (GPS) along with a microcontroller installed in the vehicle. The use of GSM and GPS technologies allows the system to track the object and provides the most up-to-date information about on-going trips. Moreover, fingerprint verification is done in the implemented system to ensure the driving of correct person. The implemented system is very simple with greater security for vehicle anti-theft protection and low cost technique compared to others.

A novel approach to provide protection for women by using smart security device

Abstract:

In today’s world women are less secure and have many issues regarding their security purpose. They have to undergo among various difficult situations and have to prove themselves every time in all critical conditions. So, for their security and safety purpose government has provided security through rules and regulation to the society. Although there are many existing systems for security purpose need of advanced smart security system is increased. In order to overcome such problems smart security system for women is implemented. This paper describes about safe and secured electronic system for women which comprises of an Arduino controller and sensors such as temperature LM35, flex sensor, MEMS accelerometer, pulse rate sensor, sound sensor. A buzzer, LCD, GSM and GPS are used in this project. When the women is in threat, the device senses the body parameters like heartbeat rate, change in temperature, the movement of victim by flex sensor, MEMS accelerometer and the voice of the victim is sensed by sound sensor. When the sensor crosses the threshold limit the device gets activated and traces the location of the victim using the GPS module. By using the GSM module the victim’s location is sent to the registered contact number.

Vehicle Information Communication Safety Combined with Mobile RFID System

Abstract:

The related technologies of radio frequency identification (RFID) applications are interested these years. The reason is the breakthroughs in semiconductor and wireless technology, so that the size of RFID devices could be reduced within a small space. Thus for different application scenarios, RFID devices could be redesigned as various forms or behaviors to adapt. The more added values provided by the RFID characteristic, the batter RFID applications are expected to compete with bar-code system in the future. In this paper, the RFID system has also been applied in vehicle information communication safety which uses wireless communications to provide passenger information and services. In this paper, the vehicle safety combined with mobile RFID system, which includes five functions. The system composed of small tags embedded around vehicle, scanners also known as reader, Geographic Information System (GIS), mobile devices and Electronic Product Code (EPC) middleware. The middleware function is implemented to drive reader and connect server. The program of the system development has been ensured safety of passenger and vehicle safety real time.

A low cost smart irrigation control system

Abstract:

This paper focus on a smart irrigation system which is cost effective and a middle class farmer use it in farm field. Today we are living in 21stcentury where automation is playing important role in human life. Automation allows us to control appliances automatic control. It not only provide comfort but also reduce energy, efficiency and time saving. Today industries are use automation and control machine which is high in cost and not suitable for using in a farm field. So here we also design a smart irrigation technology in low cost which is usable by Indian farmers. The objectives of this paper were to control the water motor automatically and select the direction of the flow of water in pipe with the help of soil moisture sensor. Finally send the information (operation of the motor and direction of water) of the farm field to the mobile message and g-mail account of the user.

Microcontroller based digital meter with alert system using GSM

Abstract:

The objective of this paper is to design and implement the low cost digital meter using PIC microcontroller, which could be used for monitoring the temperature and humidity of our environment. In this paper, it is focused mainly for our homes. The temperature is measured using LM35 temperature sensor and the humidity is measured using DHT11 humidity sensor. The measured parameters are displayed through LCD screens, normally like a digital meter. Apart from acting as a meter, it performs the function of automated control system which controls the motor driver connected to the fan, based on the temperature sensed using the microcontroller. When the fire catches the home and the sensor values exceeds the limit, an alert SMS will be sent to the person living in the home through the SIM900 GSM module. Also, an SMS carrying the home address will be sent to the fire department which alerts the fire fighters to urge to the location so that they can protect the home from fire. This paper also proposes the idea of automatic humidity controller using dehumidifier controlled by the microcontroller through the relay module. Thus, the proposed microcontroller based automated digital meter model has been discussed in the paper.

Automated toll booth and theft detection system

Abstract:

In our everyday life, travellers pay an assured amount of tax all the way through toll plaza to the government. The national highways and bridges have toll gates, where people pay the charges for using the highways by standing in the queue, leading to unnecessary break of journey. Therefore, in order to abstain this issue, this proposed system approach for automating the payments of toll plaza by using a Radio Frequency Identifier (RFID) and security algorithm. In the proposed work, the user is allowed to login with the RFID system and can enter the source and destination. Then, the system shows the possible toll booths that blow in the way. After selecting the toll booths on the user’s way, the user is redirected to the payment gateway. The payment gateway is encrypted to promote security. In order to abstain maltreatment of the system, the RFID is merged with the vehicle’s number. A sensor is applied in every signal, to dig up the time at which the vehicle has passed by.

Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications

Abstract:

Nowadays, there is an ever-increasing migration of people to urban areas. Health care service is one of the most challenging aspects that is greatly affected by the vast influx of people to city centers. Consequently, cities around the world are investing heavily in digital transformation in an effort to provide healthier ecosystems for people. In such a transformation, millions of homes are being equipped with smart devices (e.g., smart meters, sensors, and so on), which generate massive volumes of fine-grained and indexical data that can be analyzed to support smart city services. In this paper, we propose a model that utilizes smart home big data as a means of learning and discovering human activity patterns for health care applications. We propose the use of frequent pattern mining, cluster analysis, and prediction to measure and analyze energy usage changes sparked by occupants’ behavior. Since people’s habits are mostly identified by everyday routines, discovering these routines allows us to recognize anomalous activities that may indicate people’s difficulties in taking care for themselves, such as not preparing food or not using a shower/bath. This paper addresses the need to analyze temporal energy consumption patterns at the appliance level, which is directly related to human activities. For the evaluation of the proposed mechanism, this paper uses the U.K. Domestic Appliance Level Electricity data set-time series data of power consumption collected from 2012 to 2015 with the time resolution of 6 s for five houses with 109 appliances from Southern England. The data from smart meters are recursively mined in the quantum/data slice of 24 h, and the results are maintained across successive mining exercises. The results of identifying human activity patterns from appliance usage are presented in detail in this paper along with the accuracy of shortand long-term predictions.

Tsunami alert & detection system using IoT: A survey

Abstract:

Internet of Things (IoT) is the connectivity between the numbers of devices in the network. In which different types of devices, sensors, software, embedded devices are connected to each other for information sharing and exchange. In different applications, IoT technology is used for communication and data exchange between the two or more stations or devices. IoT technology is used in various application and fields like Transport, business, home automation and education. Tsunami detection is also one of the major problems, which is solved by using IoT. Tsunami alert and detection are important for avoiding the human death. So to solve these problems different techniques, algorithms, protocols are proposed by authors using IoT. In this paper, we have studied different papers on Tsunami detection and alert system for the survey. This paper is very helpful for new researchers and IoT learners.

Web based automatic irrigation system using wireless sensor network and embedded Linux board

Abstract:

This paper presents an automation of farm irrigation system using a wireless sensor network (WSN) and embedded Linux board. The system provides a web interface to the user so that the user can control and monitor the system remotely. In this paper, Raspberry Pi is used as an embedded Linux board which is designed based on the arm 11 microcontroller architecture. Embedded Linux board makes the communication with all distributed sensor nodes placed in the farm through ZigBee protocol and itself act as a coordinated node in the wireless sensor network. The goal of coordinator node is to collect the parameters like soil moisture and soil temperature wirelessly. Each sensor node consists of soil moisture and soil temperature sensor and one ZigBee RF antenna device for communication with the coordinator node. Raspberry Pi stores collected data in the database and analyzes the stored data. The system will work according to the algorithm developed for watering the crop. The board has an Ethernet interface and runs the simple data web server. Hence coordinator collects the data over ZigBee wireless communication protocol and allow user to monitor the data from a web browser. User can make the irrigation system ON or OFF remotely. The system will reduce the water consumption and giving uniform water to the crop results in increasing yield.

A smart system connecting e-health sensors and the cloud

Abstract:

This paper presents the design and implementation of an e-health smart networked system. The system is aimed to prevent delays in the arrival of patients’ medical information to the healthcare providers, particularly in accident and emergency situations, to stop manual data entering, and to increase beds capacity in hospitals, especially during public events where a large number of people are meeting in one place. The architecture for this system is based on medical sensors which measure patients physical parameters by using wireless sensor networks (WSNs). These sensors transfer data from patients’ bodies over the wireless network to the cloud environment. Therefore, patients will have a high quality services because the e-heath smart system supports medical staff by providing real-time data gathering, eliminating manual data collection, enabling the monitoring of huge numbers of patients.

Child safety wearable device

Abstract:

This paper discusses the concept of a smart wearable device for little children. The major advantage of this wearable over other wearable is that it can be used in any cellphone and doesn’t necessarily require an expensive smartphone and not a very tech savvy individual to operate. The purpose of this device is to help parents locate their children with ease. At the moment there are many wearables in the market which help track the daily activity of children and also help find the child using Wi-Fi and Bluetooth services present on the device. But Wi-Fi and Bluetooth appear to be an unreliable medium of communication between the parent and child. Therefore, the focus of this paper is to have an SMS text enabled communication medium between the child’s wearable and the parent as the environment for GSM mobile communication is almost present everywhere. The parent can send a text with specific keywords such as “LOCATION” “TEMPERATURE” “UV” “SOS” “BUZZ”, etc., the wearable device will reply back with a text containing the real time accurate location of the child which upon tapping will provide directions to the child’s location on google maps app and will also provide the surrounding temperature, UV radiation index so that the parents can keep track if the temperature or UV radiation is not suitable for the child. The prime motivation behind this paper is that we know how important technology is in our lives but it can sometimes can’t be trusted, and we always need to have a secondary measure at hand. The secondary measure used in this project is the people present in the surrounding of the child who could instantly react for the child’s safety till the parents arrive or they could contact the parents and help locate them. The secondary measure implemented was using a bright SOS Light and distress alarm buzzer present on the wearable device which when activated by the parents via SMS text should display the SOS signal brightly and sound an alarm which a bystander can easily spot as a sign of distress. Hence this paper aims at providing parents with a sense of security for their child in today’s time.

RFID-based production data analysis in an IoT-enabled smart job-shop

Abstract:

Under industry 4.0, internet of things (IoT), especially radio frequency identification (RFID) technology, has been widely applied in manufacturing environment. This technology can bring convenience to production control and production transparency. Meanwhile, it generates increasing production data that are sometimes discrete, uncorrelated, and hard-to-use. Thus, an efficient analysis method is needed to utilize the invaluable data. This work provides an RFID-based production data analysis method for production control in IoT-enabled smart job-shops. The physical configuration and operation logic of IoT-enabled smart job-shop production are firstly described. Based on that, an RFID-based production data model is built to formalize and correlate the heterogeneous production data. Then, an eventdriven RFID-based production data analysis method is proposed to construct the RFID events and judge the process command execution. Furthermore, a near big data approach is used to excavate hidden information and knowledge from the historical production data. A demonstrative case is studied to verify the feasibility of the proposed model and methods. It is expected that our work will provide a different insight into the RFID-based production data analysis.

IoT based monitoring and control system for home automation

Abstract:

The project proposes an efficient implementation for IoT (Internet of Things) used for monitoring and controlling the home appliances via World Wide Web. Home automation system uses the portable devices as a user interface. They can communicate with home automation network through an Internet gateway, by means of low power communication protocols like Zigbee, Wi-Fi etc. This project aims at controlling home appliances via Smartphone using Wi-Fi as communication protocol and raspberry pi as server system. The user here will move directly with the system through a web-based interface over the web, whereas home appliances like lights, fan and door lock are remotely controlled through easy website. An extra feature that enhances the facet of protection from fireplace accidents is its capability of sleuthing the smoke in order that within the event of any fireplace, associates an alerting message and an image is sent to Smartphone. The server will be interfaced with relay hardware circuits that control the appliances running at home. The communication with server allows the user to select the appropriate device. The communication with server permits the user to pick out the acceptable device. The server communicates with the corresponding relays. If the web affiliation is down or the server isn’t up, the embedded system board still will manage and operate the appliances domestically. By this we provide a climbable and price effective Home Automation system.

An IoT-Based Architecture for Waste Management

Abstract:

Efficient waste collection is a necessary service in the application of Smart Cities. The use of emerging technology may lead to significant improvement in the waste management process. In this work, we propose an IoT- based architecture that targets two elements. The first is monitoring the waste volume and content in a waste bin, as well as the bin’s surroundings. The second entails dynamic scheduling and routing of waste collection vehicles based on the relayed information from the bins. The waste bin design detects any obstacles around the bin and monitors illegal dumping in the vicinity of the bin. The routing protocol provides an optimal solution for waste collection from the filled bins in high density residential areas while minimizing the length of the trip. The combined improvement of these elements will result in increasing the efficiency of waste collection, reducing and carbon footprint.

Contrast Enhancement Based on Intrinsic Image Decomposition

Abstract:

In this paper, we propose to introduce intrinsic image decomposition priors into decomposition models for contrast enhancement. Since image decomposition is a highly illposed problem, we introduce constraints on both reflectance and illumination layers to yield a highly reliable solution. We regularize the reflectance layer to be piecewise constant by introducing a weighted ℓ1 norm constraint on neighboring pixels according to the color similarity, so that the decomposed reflectance would not be affected much by the illumination information. The illumination layer is regularized by a piecewise smoothness constraint. The proposed model is effectively solved by the Split Bregman algorithm. Then, by adjusting the illumination layer, we obtain the enhancement result. To avoid potential color artifacts introduced by illumination adjusting and reduce computing complexity, the proposed decomposition model is performed on the value channel in HSV sp

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