Cloud based Vehicle Tracking System

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.

Raspberry Pi based Object Detection and Text Reader using Voice Assistance

Communication is the basic requirement for humans to connect and it requires text and speech but visually impaired people cannot able to perform this. This project helps them to read the image. This project is an automatic document reader for visually impaired people, developed on the Raspberry Pi processor board. It controls the peripherals like a camera, a speaker which acts as an interface between the system and the user. Here, we use a raspberry pi camera which is used to capture the image and scan the image using Image Magick software. Then the output of the scanned image is given to OCR(optical character recognition) software to convert the image to text. It converts the typed or printed text to the machine code. Then we use Text to Speech (TTS), which is used to convert speech to text. The experimental result is very helpful to blind people as there was much analysis of the different objects.

Drown Alerting, Preventing And Autonomous Rescue System using Ardiuno, Tacticle switche (weight sensors) and Artificial Intelligence

This paper introduces a novel method of automatic lifesaving swimming pool design to save a drowning victim in a helpless condition by using latest ardiuno(IoT) processor board and the framework. This method utilizes artificial intelligence to save drowning victims without the need of a life-guard(human intervention) from fatal death and also associated specific alerting mechanisms like a loudspeaker. In the present paper, a swimming pool framework is proposed with a responsive elevator assebly surface which is covering entire pool bottom, housing several weight sensitive waterproofed tactical switches arranged to sense any individual or any object incidence(falling) on bottom of the pool ,and associated alerting devices like loud speakers, and a drain motor control.The automatic rescue designs have not been tried succesfull so far in literature effectively so far. The present design delt with simplest algorithm and latest mechanical supporting strucures, and fast responding ardiuno processor. The finished prototype has given promising results in solving defined problem.

Advanced Control of a Compensator Motor Driving a Variable Speed Diesel Generator with Rotating Stator

Variable speed generators can improve overall genset performance by allowing the diesel engine to reduce its speed at lower loads. In this project, a variable speed diesel generator (VSDG) uses a rotating stator driven by a compensator motor. At lower loads, the stator turns in the opposite direction of the rotor, a process that can be used for purposes like maintaining a fixed relative speed between the two components of a generator. This allows the diesel engine to turn at a lower speed (same as the rotor) and to increase its efficiency. The present research addresses the control of the compensator motor driving the generator’s stator using a variable-frequency drive that adapts the speed to its optimal value according to the load. The performance of the proposed control strategy was tested using a Freescale microcontroller card programmed in C-code to determine the appropriate voltage for the variable-frequency drive. The control algorithm uses a real-time application implemented on an FDRM-KL25Z signal processor board. The control performance of a 2 kW asynchronous motor (LabVolt EMS 8503-00/208 V/3 ϕ/60(50) Hz) was demonstrated experimentally at different operating conditions.

Digital Fuzzy Current Mode Controlled Integrated PFC Converter with External Ramp Compensation

This paper propounded a novel method of design and realization of a digital fuzzy controlled buck integrated power factor correction (PFC) converter. It derives its advantages through the low buck capacitor voltage and single control switch (SW1), which leads to reduced complex control and price. Sub-harmonic oscillations generated in the peak current mode technique can be nullified by using the ramp signal, thereby improving the overall performance of the converter. The fuzzy logic controller (FLC) is robust and effective than the conventional linear controllers like P, PI, PID. In this paper, the digital fuzzy current mode controlled integrated PFC converter with external ramp compensation signal for 100 W load operating in the universal range of voltage (90[Formula: see text]V–265[Formula: see text]V), 50[Formula: see text]Hz has been designed and implemented using MATLAB/Simulink, verified in hardware using the TMS320F2812 digital processor board, and the results are found to be complying with international regulatory standards (IEC 6100-3-2 and IEEE 519-1992).

Multilingual Text to Speech in embedded systems using RC8660

Most multilingual Test to Speech (TTS) systems are software applications which allow people with visual impairments or reading disabilities to listen the written material using computer. This paper describes an approach to make a multilingual TTS and embed it into the portable, low cost, and standalone embedded system to access and read electronic documents particularly in developing countries. There are several TTS such as Doubletalk, DECtalk, and Dolphin available in market, also there are some products using TTS such as Talking OCR, Bill Reader and Intel Reader, which are not affordable or multilingual. To design this system OMAP3530 an application processor board is considered as the hardware platform to process the language-independent parts of the application and RC8660 used as an integrated TTS processor.Â

Research of Chaotic Phenomenon for a Synchronous Reluctance Motor

The paper presents the research of chaotic phenomenon for the synchronous reluctance motor. Chaotic phenomenon looks like confused but regular. Nonlinear characteristic of the system causes chaos happened. System parameters and initial value variations cause the result dramatically. We establish the synchronous reluctance motor chaos model, the equilibrium points and characteristic equation by motor model. We utilize the Routh-Hurwitz stability criterion to obtain speed controller parameters,and to calculate the initial value by computtation of Lyapunov exponent to determine whether the system is in chaos behavior. We simulate it by using Matlab/Simulink software.Hardware achieved by using DS1104 processor board, which is the product of the dspace. Simulation and experiment results confirm the proposed theory is correct.

A Digital Signal Processing Module for Time-Division Multiplexed Microcalorimeter Arrays

We have developed a digital signal processing module for real time processing of time-division multiplexed data from SQUID-coupled transition-edge sensor microcalorimeter arrays. It is a 3U PXI card consisting of a standardized core processor board and a daughter board. Through fiber-optic links on its front panel, the daughter board receives time-division multiplexed data (comprising error and feedback signals) and clocks from the digital-feedback cards developed at the National Institute of Standards and Technology. After mixing the error signal with the feedback signal in a field-programmable gate array, the daughter board transmits demultiplexed data to the core processor. Real-time processing in the field-programmable gate array of the core processor board includes pulse detection, pileup inspection, pulse height computation, and histogramming into on-board spectrum memory. Data from up to 128 microcalorimeter pixels can be processed by a single module in real time. Energy spectra, waveform, and run statistics data can be read out in real time through the PCI bus by a host computer at a maximum rate of ~100 MB/s. The module's hardware architecture, mechanism for synchronizing with NIST's digital-feedback, and count rate capability are presented.