GPS-enabled smart stick guide for campus accessibility at King Abdulaziz University

Radiation leakage of a global positioning system (GPS) module was investigated for a drone detection system by measuring the attenuation effect and long-range detection on the outside of a building. The GPS module consisting of the radio frequency components is essential to control the flight of a drone. There is an unavoidable leakage in the GPS module during operation, and the leakage signal from the GPS module was analyzed and detected with a high-sensitivity receiver. To analyze the leakage from the GPS module during operation, we obtained the whole frequencies of leakage signals and the radiation pattern of a drone with the GPS module in an anechoic chamber. From the data, we measured the leakage signals in an outdoor space. Through outdoor measurement, it was confirmed that the theoretical attenuation effect was consistent with the measured value with a distance variation. Finally, the GPS leakage in the drone was measured up to 950 m with a high signal-to-noise ratio (SNR) of 25 dB.

A hybrid location and tracking system designed for near real-time location monitoring of persons or objects in an outdoor environment is presented in this paper. The proposed system follows a client-server architecture, which confers flexibility and modularity characteristics. The client is represented by a System-on-chip (SOC) device, namely Raspberry Pi, equipped with a Global Positioning System (GPS) module and an USB 3G modem, configuration which ensures both localization and 3G (the 3 rd Generation of Mobile Communications) capabilities. This approach provides three mechanisms for retrieving the current location: based on the GPS module, based on 3G triangulation and based on the serving cell location, hence the hybrid characteristic of the system. The remote monitoring feature is ensured by a server which can be accessed over the internet. Its purpose is to host the database in which the tracking information is stored and to provide a reliable web framework which ensures that end-users can access this information remotely, via a dedicated web-page or a smartphone application.

This research is to discuss about the tracking system at the Bus Rapid Transit (BRT) Trans Bandar Lampung using the Global Positioning System (GPS) module with the delivery position data bus via Short Message Service (SMS), which will be stored and processed with data base, so that we can know the bus position and display in web application of Geographic Information System (GIS). Testing of bus tracking system consists of data collection at every bus stop and the road Rajabasa - Sukaraja by installing a GPS module in the bus and get the fault tolerance of 51.0096 meters, average speed calculation of bus rate to determine the density of vehicle traffic obtained busiest streets of bus stop Ramayana to bus stop Simpur Center and from the bus stop Mall Kartini to bus stop Telkom (Bambu Kuning market)and bus arrival time in three time using time data and position coordinates buses have been obtained by the results of the longest time at 15:00 pm by total time from Rajabasa to Sukaraja and back again to Rajabasa of 86.2574 minutess, and testing display of bus stop in GIS web can be seen with the page http://webgis.unila.ac.id, the web page containof information about BRT like the bus stop location, the distance between bus stops, the arrival time of BRT at each bus stop vehicle density and the density of vehicle traffic routes Rajabasa - Sukaraja. Keywords : Smart transportation, Bus Rapid Transit (BRT), Global Positioning System (GPS), Short Message Service (SMS), web Geoghgrapic Information System (GIS)

Vehicle following device is a settled innovation in this advanced period of the technology which is utilized by armada framework and proprietor of a vehicle everywhere throughout the world. It is an extremely protected and dependable innovation. In this paper, a self-powered system is intended to track and screen any vehicle by utilizing Global Positioning System (GPS) and Global System for Mobile Communication (GSM). This device is fully powered by the waste heat of an automobile and that harvesting job is done by Thermoelectric Generator (TEG). A lot of systems are designed to achieve the goal for vehicle tracking and monitoring. As it needs a continuous operation, a huge amount of power is consumed to operate the device. This research will mitigate the cost of such a system by using power generated from wasted heat. PIC16F876A used as the processor with TEG, GPS and GSM module, Display, Heat Sensor, Crystal oscillator, Switching Transistor, and Voltage regulator. The location of the vehicle can be detected by GPS module and the user will get continuous notification of vehicles location by GSM module. This research will help vehicles owner to monitor his vehicle properly.

Vehicle tracking is beneficial for a variety of purposes, including personal vehicle security, public transit systems, fleet management, and more. Furthermore, the number of automobiles on the road is predicted to increase considerably internationally. As a result, a cloud-based vehicle tracking system based on the Global Positioning System (GPS), Global System for Mobile Communications (GSM) modem, and the Raspberry Pi processor board is being developed with the goal of allowing customers to easily and conveniently find their automobiles. The GPS and GSM modules in the tracking system are used to readily find the user's vehicle. The GPS module is used to track the vehicle's location using information such as latitude and longitude. These values are sent to the user through SMS using a GSM modem. Alcohol consumption is detected with the MQ-3 Alcohol sensor. The user can monitor the sensor data via the thingspeak channel. The latitude and longitude coordinates, as well as a webpage to plot the exact position of the vehicle, will be supplied to the user by e-mail. The Raspberry Pi processor board receives the data and outputs the result. The hardware prototype for a cloud-based vehicle tracking system is shown in this study. The GPS receiver module, GSM module, I2C Protocol, Raspberry Pi board, camera, and MQ-3 alcohol sensor are the system's primary hardware devices.

In recent years, the drastic increase in the number of vehicle thefts brings about at an alarming rate around the world. However, existing vehicle tracking devices have certain limitations including the lack of ability to determine if the vehicle is on the right route. To address this problem, this study focused on the design and development of a vehicle tracking prototype with route detection, emergency button, and STATUS command to monitor the current location of the vehicle. Arduino Mega 2560, SIM900 Global System for Mobile communication (GSM) module, and NEO-6M Global Positioning System (GPS) module were used to develop the prototype. The GPS module, push buttons, and SMS command served as an input. The Arduino Mega 2560 was programmed using an algorithm to determine if the device deviated from its route, detect if the emergency button was pressed, and if STATUS command was received. The system sends a SMS if the vehicle deviated from its path, emergency button is pressed, and a STATUS command from the operator is received. Results showed that after several trials the prototype was successful in performing its functional objectives. The prototype was only limited to the use of a prototyping grade GPS module. The GPS used a built-in antenna and took time to connect to satellites. It is recommended to use an industrial grade GPS module and connect an external antenna to improve signal strength.

This work presents the development of a breathalyzer to be used inside a car. The breathalyzer constantly monitors the alcohol level in the ambient into a car, which is produced by the breath of the driver, principally. The breathalyzer uses an alcohol sensor MQ-3, a closed-normally electromagnetic relay to obstruct the ignition of the car, a global position system (GPS) module, a global system for mobile communications (GSM) module and a PIC18F25K50 microcontroller. The GPS module is used to know the position coordinates of the car whereas the GSM module is used to send a message to the security department of the place where is the parked car. The alcohol sensor, the electromagnetic relay and the two modules are controlled by the microcontroller. The proposed system was implemented and evaluated on five vehicles and tested with different alcohol levels ingested by the driver, showing a good performance in all cases.

For the management of urban land resources and real estate development, periodic updating of information is crucial, particularly in some cities where exist serious problems of land resources shortage. However, collecting information related real estate development through full ground surveys would be very costly and time-consuming. On the basis of related technologies of Mobile Geographic Information System (GIS), this paper explores the use of a low-cost and rapid method of data collection to effectively manage the development of real estate projects and the use of land resources. A monitoring system which consisted of Mobile GIS client and GIS server is developed. A data acquisition system with Global Positioning System (GPS) module and a communication module are integrated into the mobile devices. Users access the services that run on a Personal Digital Assistant with wireless access facilities and GPS module. Finally, this monitoring system is tested on the Real Estate Management Information Center and its reliability and stability are verified.

An ambulance tracking system (ATS) is the need of the hour due to the recent pandemic situation going on around us. It is necessary that patients carrying vehicles such as ambulances must be equipped with the ATS technology. The ATS technology helps the hospital administration to carry out the necessary steps before the patient arrives at the hospital premises. In this technology, Global systems for Mobile communication (GSM) and Global Positioning System (GPS) are used for the efficient working of this device. In this system, a low-cost microcontroller-based electronic device Arduino is used to control the GPS and GSM modules. In this system, modem and display device such as liquid crystal display (LCD) is used at the user end which is also called as Base Station. Information regarding the location of the ambulance is provided by the GPS module. GSM module is used for communicating with the base station. The hospital administration can get the information of the arrival of the ambulance well in time and can increase the chance of survival of the patient as the time required for setting up basic components is done well in advance. This system can also be used for various other vehicles used in emergency situations.

Motorbike vehicles are the most widely used private transportation by people to travel to places near and even far. In addition to motorcycles having a price that is relatively affordable by the public, motorcycles are much easier to go through all the congested and narrow road terrains. The increasing number of motorcycles circulating around and also the weak security system of motorcycles are one of the causes often targeted by theft. In this study, we provided a solution to this security by building a motorcycle security control system that can be accessed and controlled remotely using a Smartphone. The system installed on this motorcycle uses a microcontroller (Arduino Mega2560), a global positioning system (GPS) module, a vibration sensor module, and a relay module. The GPS module helps to determine the coordinates of the position of the motorcycle. These coordinates are sent and displayed through the Android application on the smartphone of the motorcycle owner. Based on the results of several tests, the system used can communicate well between the motorcycle and the motorcycle owner through the internet network, as long as the devices in the vehicle are connected to the internet network.

MOOnitor: An IoT based multi-sensory intelligent device for cattle activity monitoring

In Indian railways, accidents are still major concern in terms of safety of people which are caused due to unmanned rail road crossing and unidentified cracks in railway tracks. By looking at such conditions, we need to implement new technology in order to reduce accidents map. The main purpose of this paper is to provide safety at unmanned railway crossing and detection of faulty tracks. Unmanned level crossing is IR sensors base system and crack detection is a dynamics approach which combines the use of GPS (global positioning system) module to collect geographical coordinate of faulty tracks and GSM (global system for mobile communication) modem to send geographical coordinate of location. Here, we have introduced IOT (Internet of Things) which controlled the crack detection system dynamically. Index Term- unmanned gate crossing, GSM modem, GPS module, IR transmitter and Receiver, Internet of Things technology

Pavement diseases in general develop quickly duo to traffic, meteorological conditions and pavement structure. Once the diseases appear, they will rapidly enlarge over a short period of time and cause economic losses to transportation industry. Hence, it is essential to propose an automated and efficient method to obtain up-to-date information about pavement diseases for road maintenance. This article presents a vision-based detection and spatial localization scheme based on a Global Position System (GPS) module and a Real-time inertial measurement unit (IMU) module mounted on an edge computing device and develop a system deployed on the mobile road-detecting vehicle with an OAK-D (OpenCV AI Kit with Depth) camera. The system employs a lightweight YOLOv5-based detector enhanced with attention mechanisms, a bi-directional feature pyramid network, and a lightweight backbone to improve detection speed and mean average precision (mAP). Pavement diseases are identified within the visual range, and their depth is calculated using binocular stereo vision, with a nearest non-zero value method to minimize depth calculation errors. The GPS module provides the camera’s latitude, longitude, and altitude (LLA) coordinates, which, combined with the depth map and IMU data, enable precise spatial localization of the diseases through coordinate frame conversion. Road tests demonstrated that the proposed model achieves an 86% improvement in inference speed over the original YOLOv5-s, reaching 43 FPS while maintaining comparable mAP50. The localization error for latitude and longitude is less than 6.5 meters. This system offers real-time, continuous detection and localization, providing valuable support for efficient pavement management and maintenance.

A major problem today for vehicle owners is that they are constantly afraid of having their vehicles stolen from a common parking lot or from outside their home. Image processing based real time vehicle theft detection and prevention system provides an ultimate solution for this problem. In this paper, a low-cost extendable framework for smart vehicle security system is proposed, which consists of a FDS (Fingerprint Detection Subsystem), a GPS (Global Positioning System) module, a GSM (Global System for Mobile Communications) module and a control platform. The system described in this project Fingerprint scanned of driver and compares his or her fingerprint with database to check whether he is an authenticated driver or not. The Fingerprint detection sub system bases on optimized PCA algorithm and can Recognize fingerprint in vehicles. The other modules transmit necessary information to users and help to keep eyes on vehicles all the time, even when the vehicle is lost. This system prototype is built on a Microcontroller, controls all the processes. The owner is made able to perform vehicles stopping through the message from his mobile. The GPS module in the vehicle detects the location of the vehicle. by this system the identification of the thief and the location of the vehicle are simply smarter and cheaper than traditional ones and implemented panic button in case of emergency to the passenger India has a high population rate and so is the number of automobiles. With the increase in the automobiles comes the increase in their theft and the present systems lack a few parameters which isn’t being helpful in dealing with this important concern of the vehicle owner. In this time of taking off vehicles, vehicle security has turned into a question of Prime significance, especially in urban cities, where these incidents take place each and every day. Agents owe this expansion in burglaries to the lack of appropriate parking spots in neighborhood and also absence of accessibility of refined security gadgets. Advancement in technology has been proven to be effective in managing vehicle thefts. There is a need to reduce these burglaries/thefts using the required means for vehicle security. Therefore, anti-theft systems play a vital role in reduction of vehicle thefts. Implementation of biometric anti-theft security system has been operational. Keywords: Engine, Arduino Uno, Fingerprint Sensor, Keypad, GPS/GSM, Hardware’s.

In this paper a stick guide model represented for visually impaired persons to guide in their way, which consist of a Global Positioning System (GPS) and a Global System for Mobile communication (GSM) modules along with sensors like Ultrasonic and Infrared sensors. This is a smart stick that will make the visually impaired persons guiding their way. GPS module is used in this to get the current location information of the person, that location will be sent via Short Message Service (SMS) to the registered numbers using a GSM module, on pressing of a switch whenever he feels he is lost. Ultrasonic sensors are used for obstacle detection through the ultrasonic waves produced by it, and Infrared sensor is used for level detection and both the sensors are interfaced with the vibrator which vibrates on detecting an obstacle. The main objective of this model is to help a blind to live a better life.