scholarly journals VOICE CONTROLLED VEHICLE USING MQTT SERVER

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
N Ayush Ubale ◽  
Pranavya M U ◽  
Poli Guha Neogi ◽  
Hardik Jethava
Keyword(s):  
Artificial Intelligence ◽  
Open Source ◽  
Mobile Application ◽  
Ultrasonic Sensor ◽  
Operating Costs ◽  
Android Application ◽  
Specific Location ◽  
Human Voice ◽  
Robotic Vehicle ◽  
The Voice

The voice-controlled vehicle was created to make human work easier, since we live in an artificial intelligence-driven world where robots perform many tasks. The human voice is used to drive the vehicle. A stable android mobile application built with android studio software transmits the speech. It's essentially a Wi-Fi link. Using the mobile application, we can operate the vehicle with our voice from anywhere. The NodeMCU IoT framework is free and open source. It includes firmware for the ESP8266 Wi-Fi module, a Espressif Systems SoC, and ESP-12 module hardware. With the application that has been created, human work may become simpler. Since the vehicle will be linked to Wi-Fi, we will be able to access it from any location in our project. He or she will use the Android application to send commands or voice commands such as forward, backward, left, right, left forward, left backward, right forward, right backward, and right forward, right backward. The pins have been connected to the NodeMCU esp8266, and the code to control the car has been written. When an object or vehicle inhibits the car's movement, an ultrasonic sensor is used to stop it. The voice is recognised and forwarded to the HiveMQ server, where it is processed. HiveMQ's MQTT broker is optimised for cloud native deployments to take advantage of cloud resources. The use of MQTT reduces the amount of bandwidth used to transport data across the network. Low overall operating costs are a result of efficient IoT solutions. The hivemq server receives the command from the Android application and sends it to the NodeMCU microcontroller, which programmes the code to drive the vehicle. The voicecontrolled robot vehicle project has military, surveillance, and human applications in scope. It's a voice-activated wireless robot vehicle. The project's main goal is to guide the robotic vehicle to a specific location. In addition, the project's main goal is to use voice to control the robot. It is now possible to have

scholarly journals Trucker’s Succour a Mobile Application for Backing Truck Drivers

2020 ◽  
Vol 9 (1) ◽  
pp. 1523-1531
Keyword(s):  
Operating System ◽  
Open Source ◽  
Open Source Software ◽  
Mobile Application ◽  
Truck Drivers ◽  
High Rate ◽  
Android Application ◽  
Android Operating System ◽  
Good Food

Commercially, innumerable consignments of valuable freight are moved across India every day. On certain routes, there is always a lurking threat to the security of the freight and finding good food is also problematic for the truckers. Truck drivers have a high rate of occupation-related injury and the highest rate of on-job fatality. This project aims to develop an android application for android operating system (OS) platform which helps drivers to get help from their passersby or forthcoming trucks and send alert to their owners if there is any threat in their routes. The Owners can monitor the movement of their trucks and the threats as well. This ensures better communication with drivers on the fleet on the same route under a single corridor. This app is developed using the platform Android Studio which is a free and open-source software.

scholarly journals Sensor Based Industrial Kitchen Foodstuffs Monitoring System

2021 ◽  
Vol 3 (1) ◽  
pp. 26-43
Author(s):  
Sowndarya Palanisamy ◽  
Saranya N
Keyword(s):  
Artificial Intelligence ◽  
Monitoring System ◽  
Inventory Management ◽  
Mobile Application ◽  
Food Item ◽  
Early Stage ◽  
Ultrasonic Sensor ◽  
Specific Food

Artificial Intelligence based foodstuff monitoring system is used for inventory management in industrial kitchens, restaurants, canteens, vegetable stores and so on. If the store keeper is not available to monitor the grocery and orders, the process will be risky. The proposed method considers the level estimation detection using ultrasonic sensor and if the container is empty then the information is sent to the store keeper. By this method, the intimation about availability of specific food item can be found and items not available can be ordered for purchasing. The DHT11 sensor is used to monitor the humidity and temperature inside the container, if any of these two is high then the notification will be sent. Decomposed organic items are identified by MQ3 sensor based on detection of alcoholic gas produced by organic items. The sensors data such as grocery level, humidity, temperature and decomposition range of organic items are collected from the corresponding smart container. This data transaction happens via micro controller known as Node MCU. The level of the groceries present, and spoiled organic items can be identified and mail notification can be triggered in the early stage with the help of mobile application called IFTTT.

Alternate Trajectory Determination Using Multimode Automated Robotic Vehicle with Line Following and Object Following Mode

2018 ◽  
Vol 8 (3) ◽  
pp. 46
Author(s):  
Varun Kumar ◽  
Lakshya Gaur ◽  
Arvind Rehalia
Keyword(s):  
Ultrasonic Sensor ◽  
Robotic Assembly ◽  
Voltage Regulator ◽  
Automated Vehicle ◽  
Dc Motors ◽  
Arduino Uno ◽  
Robotic Vehicle ◽  
Line Following ◽  
Selection Of ◽  
Trajectory Determination

In this paper the authors have explained the development of robotic vehicle prepared by them, which operates autonomously and is not controlled by the users, except for selection of modes. The different modes of the automated vehicle are line following, object following and object avoidance with alternate trajectory determination. The complete robotic assembly is mounted on a chassis comprising of Arduino Uno, Servo motors, HC-SRO4 (Ultrasonic sensor), DC motors (Geared), L293D Motor Driver, IR proximity sensors, Voltage Regulator along with castor wheel and two normal wheels.

Electrical Energy Steam Boiler Heat Loss Analysis in Japfa Comfeed Indonesia Tbk, Unit of Sidoarjo

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Joseph Priyandana ◽  
Jamaaluddin Jamaaluddin
Keyword(s):  
Heat Loss ◽  
Animal Feed ◽  
Electrical Energy ◽  
Operating Costs ◽  
Steam Boiler ◽  
Android Application ◽  
Loss Analysis ◽  
Feed Industry ◽  
Calculation Process ◽  
Electricity Costs

In the animal feed industry, steam is used in pellet making machines. In this process, steam from the boiler is distributed to the pellet mill through the pipe. The purpose of this study is to observe the waste of electricity costs of operating a boiler by calculating heat loss in a distribution pipe. The method of assessing heat loss is done by calculating losses caused by heat loss in the boiler distribution. Then make a calculation application model based on the data obtained. From the data analyzed, the amount of heat lost in the non-insulating distribution pipe is 0.766 kJ/s with a loss of Rp 5.628,600 operating costs per month compared to heat loss in an isolated pipe condition of 0.047 kJ/s with losses which cost slightly more than Rp 368 190 / month. This heat loss calculation process is made on an android application by entering the calculation formula on the program and the data that has been obtained.

PEMBUATAN PENDETEKSI OBYEK DENGAN METODE YOU ONLY LOOK ONCE (YOLO) UNTUK AUTOMATED TELLER MACHINE (ATM)

2019 ◽  
Vol 17 (1) ◽  
pp. 69-76
Author(s):  
Mohammad Shiddiq Ghozali
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Object Detection ◽  
Open Source ◽  
Automated Teller Machine

Perkembangan Teknologi Informasi dan Komunikasi begitu pesat di zaman sekarang ini. Diikuti pula dengan perkembangan di bidang Artificial Intelligence (AI) atau Kecerdasan Buatan. Di Indonesia sendiri masih belum begitu populer dikalangan masyarakat akan tetapi perusahaan-perusahaan IT berlomba-lomba menciptakan inovasi dibidang Kecerdasan Buatan dan penerapan Kecerdasan Buatan disegala aspek kehidupan. Contoh kasus di Automated Teller Machine (ATM), seringkali terjadi kejahatan di ATM seperti pengintaian nomor pin, skimming, lebanese loop dan kejahatan lainnya. Walaupun di ATM sudah terdapat CCTV akan tetapi penjahat menggunakan alat bantu untuk menutupi wajahnya seperti helm, topi, masker dan kacamata hitam. Biasanya didepan pintu masuk ATM terpampang larangan untuk tidak menggunakan helm, topi, masker dan kacamata hitam serta tidak membawa rokok. Akan tetapi larangan itu masih tetap ada yang melanggar, dikarenakan tidak ada tindak lanjut ketika seseorang menggunakan benda-benda yang dilarang dibawa kedalam ATM. Oleh karena itu penulis membuat sistem pendeteksi obyek di bidang Kecerdasan Buatan untuk mendeteksi benda-benda yang dilarang digunakan ketika berada di ATM. Salah satu metode yang digunakan untuk menciptakan Object Detection yaitu You Only Look Once (YOLO). Implementasi ide ini tersedia pada DARKNET (open source neural network). Cara kerja YOLO yaitu dengan melihat seluruh gambar sekali, kemudian melewati jaringan saraf sekali langsung mendeteksi object yang ada. Oleh karena itu disebut You Only Look Once (YOLO). Pada penelitian ini, penulis membuat sistem yang masih dalam bentuk pengembangan, sehingga menjalankannya masih menggunakan command prompt. Keywords : Automated Teller Machine (ATM), Kecerdasan Buatan, Pendeteksi Obyek, You Only Look Once (YOLO)  

Performance Comparison of Web Backend And Database: A Case Study Of Node.JS, Golang and MySQL, MongoDB

2019 ◽  
Vol 13 ◽  
Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono
Keyword(s):  
Response Time ◽  
Open Source ◽  
Poisson Distribution ◽  
Mobile Application ◽  
Web Applications ◽  
Performance Comparison ◽  
Memory Usage ◽  
Data Traffic ◽  
Cpu Utilization

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.

MackDroid - An Android based Application to monitor devices

2016 ◽  
Vol 9 ◽  
pp. 1
Author(s):  
Maaz Sirkhot ◽  
Ekta Sirwani ◽  
Aishwarya Kourani ◽  
Akshit Batheja ◽  
Kajal Jethanand Jewani
Keyword(s):  
Operating System ◽  
Open Source ◽  
Vital Role ◽  
Mobile Users ◽  
Android Application ◽  
Web Page ◽  
Technological World ◽  
Monitoring Service ◽  
User Friendly

In this technological world, smartphones can be considered as one of the most far-reaching inventions. It plays a vital role in connecting people socially. The number of mobile users using an Android based smartphone has increased rapidly since last few years resulting in organizations, cyber cell departments, government authorities feeling the need to monitor the activities on certain targeted devices in order to maintain proper functionality of their respective jobs. Also with the advent of smartphones, Android became one of the most popular and widely used Operating System. Its highlighting features are that it is user friendly, smartly designed, flexible, highly customizable and supports latest technologies like IoT. One of the features that makes it exclusive is that it is based on Linux and is Open Source for all the developers. This is the reason why our project Mackdroid is an Android based application that collects data from the remote device, stores it and displays on a PHP based web page. It is primarily a monitoring service that analyzes the contents and distributes it in various categories like Call Logs, Chats, Key logs, etc. Our project aims at developing an Android application that can be used to track, monitor, store and grab data from the device and store it on a server which can be accessed by the handler of the application.

Text-to-Speech Software and Learning: Investigating the Relevancy of the Voice Effect

2018 ◽  
Vol 57 (6) ◽  
pp. 1534-1548 ◽  
Author(s):  
Scotty D. Craig ◽  
Noah L. Schroeder
Keyword(s):  
Learning Outcomes ◽  
Learning Environments ◽  
Multimedia Learning ◽  
Text To Speech ◽  
Multimedia Design ◽  
Cognitive Efficiency ◽  
Human Voice ◽  
Instructional Multimedia ◽  
Efficiency Measures ◽  
The Voice

Technology advances quickly in today’s society. This is particularly true in regard to instructional multimedia. One increasingly important aspect of instructional multimedia design is determining the type of voice that will provide the narration; however, research in the area is dated and limited in scope. Using a randomized pretest–posttest design, we examined the efficacy of learning from an instructional animation where narration was provided by an older text-to-speech engine, a modern text-to-speech engine, or a recorded human voice. In most respects, those who learned from the modern text-to-speech engine were not statistically different in regard to their perceptions, learning outcomes, or cognitive efficiency measures compared with those who learned from the recorded human voice. Our results imply that software technologies may have reached a point where they can credibly and effectively deliver the narration for multimedia learning environments.

scholarly journals Cloud based mobile solution for early detection of Skin Cancer using Artificial Intelligence

2021 ◽  
pp. 312-324
Author(s):  
Pawan Sonawane ◽  
Sahel Shardhul ◽  
Raju Mendhe
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Skin Cancer ◽  
Early Detection ◽  
Transfer Learning ◽  
Network Model ◽  
Neural Network Model ◽  
Mobile Application ◽  
Low Cost ◽  
Skin Tumors

The vast majority of skin cancer deaths are from melanoma, with about 1.04 million cases annually. Early detection of the same can be immensely helpful in order to try to cure it. But most of the diagnosis procedures are either extremely expensive or not available to a vast majority, as these centers are concentrated in urban regions only. Thus, there is a need for an application that can perform a quick, efficient, and low-cost diagnosis. Our solution proposes to build a server less mobile application on the AWS cloud that takes the images of potential skin tumors and classifies it as either Malignant or Benign. The classification would be carried out using a trained Convolution Neural Network model and Transfer learning (Inception v3). Several experiments will be performed based on Morphology and Color of the tumor to identify ideal parameters.

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