scholarly journals Autonomous Robot for Delivering The Orders in Restaurants By using Raspberry Pi

2020 ◽  
Vol 8 (6) ◽  
pp. 3689-3692
Keyword(s):  
Service Industry ◽  
Autonomous Robot ◽  
Raspberry Pi ◽  
Time Error ◽  
Ultrasonic Sensors ◽  
The People ◽  
Increasing Trend ◽  
Robotic Application ◽  
Intended Destination

In today’s era most of the people prefer dinner in the restaurant. The use of robots as waiters in restaurants is an increasing trend in the service industry. The Waiter-robot is an exceptional autonomous robot which has the ability to follow a designated path by measuring the distance and reach its intended destination. It reducing effort, time, error, etc and increasing quality, capacity and efficiency in the delivering the food. This robotic application using a Raspberry-pi based kit mounted with ultrasonic sensors for mapping and localization of destination table.

Lifeline Express: Hospital Train in Rural India

2021 ◽  
pp. 251660422197724
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

scholarly journals Lifeline Express: Hospital Train in Rural India

2020 ◽  
Vol 2 (2) ◽  
pp. 87-97
Author(s):  
Jashim Uddin Ahmed ◽  
Saima Siddiqui ◽  
Asma Ahmed ◽  
Kazi Pushpita Mim
Keyword(s):  
Southeast Asia ◽  
Rural Areas ◽  
Medical Service ◽  
Service Industry ◽  
Rural India ◽  
Medical Team ◽  
Rural People ◽  
Quality Healthcare ◽  
The People ◽  
Medical Facilities

India’s medical service industry is an emerging force in Southeast Asia, which should be recognized. A large portion of the country’s GDP is being earned through this sector. Paradoxically, India’s rural sphere has always been highly deprived of medical facilities even in rudimentary level. This huge imbalance was previously an issue for India to reach to a footing through innovation. India still being a developing country has majority of people living in rural areas where quality healthcare is not only difficult to avail but sometimes even hard to access. In such circumstances, an initiative like Lifeline Express (LLE) has provided the people with access to quality healthcare which has been crucially needed. It is a very simple idea but incredibly complex in terms of execution throughout the whole region. The LLE is a hospital which moves throughout rural India in a form of a fully equipped train. Since 1991, this initiative in India has generated some commendable projects through which it has served many rural Indians. Through this case, it will be comprehensible of how the train and the medical team function and will show the limitations and challenges healthcare in India is facing and how LLE has proved its fantastic ability to fight with the constraints and make healthcare reach the doorsteps of the rural people. Despite the challenges and limitations, it is also been revealed how the journey of LLE has grown from a three-coach train to seven-coach train where patients get treatment of many diseases from the early 1990s to this day.

Government by the Privileged

2018 ◽  
pp. 1-27
Author(s):  
Nicholas Carnes
Keyword(s):  
United States ◽  
Working Class ◽  
Service Industry ◽  
White Collar ◽  
The United States ◽  
Manual Labor ◽  
Democratic Process ◽  
The People ◽  
Political Office ◽  
Labor Service

This chapter opens the discussion on why working-class Americans—people employed in manual labor, service industry, or clerical jobs—almost never go on to hold political office in the United States. It suggests that the economic gulf between politicians and the people they represent—a so-called government by the privileged or white-collar government—has serious consequences for the American democratic process. Although journalists and scholars have always had hunches about what keeps working-class Americans out of office, to date there has been almost no actual research on why the United States is governed by the privileged or what reformers might do about it. This book tries to change that. It argues that workers are less likely to hold office not because they are unqualified or because voters prefer more affluent candidates, but because workers are simply less likely to run for public office in the first place.

scholarly journals People Detection and Tracking Using LIDAR Sensors

Robotics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 75 ◽  
Author(s):  
Claudia Álvarez-Aparicio ◽  
Ángel Manuel Guerrero-Higueras ◽  
Francisco Javier Rodríguez-Lera ◽  
Jonatan Ginés Clavero ◽  
Francisco Martín Rico ◽  
...  
Keyword(s):  
Service Robots ◽  
Challenging Problem ◽  
Complex Environments ◽  
People Detection ◽  
Test Environment ◽  
Detection And Tracking ◽  
The People ◽  
Imaging Detection ◽  
New Feature ◽  
Robotic Application

The tracking of people is an indispensable capacity in almost any robotic application. A relevant case is the @home robotic competitions, where the service robots have to demonstrate that they possess certain skills that allow them to interact with the environment and the people who occupy it; for example, receiving the people who knock at the door and attending them as appropriate. Many of these skills are based on the ability to detect and track a person. It is a challenging problem, particularly when implemented using low-definition sensors, such as Laser Imaging Detection and Ranging (LIDAR) sensors, in environments where there are several people interacting. This work describes a solution based on a single LIDAR sensor to maintain a continuous identification of a person in time and space. The system described is based on the People Tracker package, aka PeTra, which uses a convolutional neural network to identify person legs in complex environments. A new feature has been included within the system to correlate over time the people location estimates by using a Kalman filter. To validate the solution, a set of experiments have been carried out in a test environment certified by the European Robotic League.

scholarly journals Smart garbage collection management system

2018 ◽  
Vol 7 (2.7) ◽  
pp. 193
Author(s):  
Mounica Gaddam ◽  
Venkata Dileep Thatha ◽  
Srinivas Ravi Kavuluri ◽  
Gopi Krishna Popuri
Keyword(s):  
Waste Management ◽  
Solid Waste Management ◽  
Threshold Level ◽  
Truck Driver ◽  
Sensor Data ◽  
Raspberry Pi ◽  
Health Issues ◽  
The People ◽  
Collection Management System ◽  
Current Location

Waste management is necessary in today's world because, with the growing population, waste generated by the human is also increasing. Million Tons of waste is being produced by the people all over the world every day. If waste is not properly disposed off, it may lead to huge health issues and it may have adverse effects on our environment also. Among all, waste collection and transportation are one of the costliest stages in solid waste management. As the truck driver must go to each bin every single day and check whether the bin is full or not. If the bin is not full, it is not only waste of time but also wastes of fuel for truck and it also increases pollution due to smoke released from trucks, needs more men for checking all the bins in different routes. In this paper, we are going to propose a smart solution for this problem using the Internet of Things. We use an ultrasonic sensor to measure the size of the bin, and raspberry pi to process the information further. This sensor data will be sent to the cloud using Wi-Fi module of raspberry pi, from the cloud the data is sent to android app. When the trash inside the bin crosses the certain threshold level, that bin and its location are shown in the App using google maps, and the current location of the truck driver is detected, and shortest path is shown. By this the garbage bins can be emptied before the dustbin overflow.

scholarly journals Cloud-based people counter

2020 ◽  
Vol 9 (1) ◽  
pp. 284-291 ◽  
Author(s):  
Abd Kadir Mahamad ◽  
Sharifah Saon ◽  
Hamimi Hashim ◽  
Mohd Anuaruddin Ahmadon ◽  
Shingo Yamaguchi
Keyword(s):  
Embedded System ◽  
Economic Trend ◽  
Raspberry Pi ◽  
People Counting ◽  
Video Footage ◽  
Iot Platform ◽  
The People ◽  
Initial Stage ◽  
Actual Environment ◽  
People Movement

Emergence of Industry 4.0 in current economic trend promotes the usage of Internet of Things (IoT) in product development. Counting people on streets or at entrances of places is indeed beneficial for security, tracking and marketing purposes. The usage of cameras or closed-circuit television (CCTV) for surveillance purposes has emerged the need of tools for the digital imagery content analysis to improve the system. The purpose of this project is to design a cloud-based people counter using Raspberry Pi embedded system and send the received data to ThingSpeak, IoT platform. The initial stage of the project is simulation and coding development using OpenCV and Python. For the hardware development, a Pi camera is used to capture the video footage and monitor the people movement. Raspberry Pi acts as the microcontroller for the system and process the video to perform people counting. Experiment have been conducted to measure the performance of the system in the actual environment, people counting on saved video footage and visualized the data on ThingSpeak platform.

scholarly journals Design and Development of an Intelligent System for Pothole and Hump Identification on Roads

2019 ◽  
Vol 8 (3) ◽  
pp. 5294-5300 ◽  
Keyword(s):  
Image Processing ◽  
Fuel Consumption ◽  
Intelligent System ◽  
Processing Technique ◽  
Simple Solution ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Ultrasonic Sensors ◽  
Design And Development ◽  
Geographical Position

Country’s economy depend on well-maintained roads as they are major means of transportation. It becomes essential to identify pothole and humps in order to avoid accidents and damages to the vehicles that is caused because of distress to drivers and also to save fuel consumption. In this regard, this work presents a simple solution to detect potholes and humps and hence avoid accidents and help drivers. Potholes are detected using Image Processing Technique and Ultrasonic Sensors are used to detect humps. Controlling device used is Raspberry Pi. The system acquires the geographical position of potholes using Wi-Fi and transmits it to authorities to take corrective measures

scholarly journals Parametric Analysis of Autopilot Intelligent Robot (PIR) Using Multiple Surface Gradient Path MSGP

2020 ◽  
pp. 7-22
Author(s):  
Olanrewaju E. Abikoye ◽  
Abdullateef O. Alabi ◽  
O. Olaboye Yinusa
Keyword(s):  
Community Policing ◽  
Periodic Oscillation ◽  
Raspberry Pi ◽  
Prototype Model ◽  
Kinematic Effect ◽  
Surface Gradient ◽  
Kinematic System ◽  
Data Capturing ◽  
Python Programming ◽  
Robotic Application

Robotic application is taking new dimensions around the globe, of which numerous problems are solved with embedded systems, this research introduces gradient vertices method from 3D geometric to perform data capturing using kinematic effect with aid of autopilot Intelligent Robotic (PIR). The research considered Multiple Surface Gradient Path MSGP using Toyota Camry 200x chases model using DC motor Pulse Wide Modulation (PMW). The discretion only Multiple Surface Gradients, distance values and angular pivots with respect to time. The PIR hardware “Raspberry Pi 3B” as the target board is interface with modular peripherals, using python programming language. Auto pilot is archived using different surface gradients and the digital images obtained during experience are stored for further analysis.  The use of Tkinter GUI improved user experience in the extermination of the periodic oscillation, gradient values, proximate distance obtained by the PIR Final implementation. The deployment is completed by improvising a prototype model (PIR) suitable for Toyota Camry 200x. It is important to view it in the context of a larger community policing framework. PIR can be classified as intermission robot that can be used for different activities with the available feature kinematic system which make it relevant for multi-purpose activities.

scholarly journals Rancang Bangun Autonomous Robot Tank dengan Metode Waypoint Berbasis Raspberry Pi

2020 ◽  
Vol 6 (1) ◽  
pp. 29-39
Author(s):  
Juanda Rahimatullah ◽  
Nur Rachman Supadmana Muda ◽  
MHD Iqbal Fahmi ◽  
Zani Akbari
Keyword(s):  
Mobile Robot ◽  
Obstacle Avoidance ◽  
Autonomous Robot ◽  
Magnetic Compass ◽  
Raspberry Pi ◽  
Control Operator ◽  
Full Control

Pada era perang modern, robot digunakan untuk melakukan penyerangan terhadap sasaran untuk memperkecil kerugian personel. Autonomous robot tank merupakan robot yang bergerak otomatis dengan menghindari rintangan yang berada didepannya. Sistem Navigasi Waypoint digunakan pada autonomous robot tank untuk menentukan pergerakan robot dari titik kordinat satu ke titik kordinat lain berdasarkan sistem kordinat bumi, menentukan arah, dan jarak dalam mencari sasaran tanpa harus full control. Operator hanya menentukan titik sasaran yang akan dilakukan penyerangan maka robot tank akan dengan sendirinya bergerak menuju sasaran. Modul GPS akan membaca koordinat dimana posisi dari mobile robot berada, dan modul magnetic compass digunakan untuk menentukan arah tujuan robot tank bergerak. Obstacle avoidance system menerima sinyal dari sensor ultrasonic ketika ada benda halangan didepannya untuk menghindari benda tersebut. Hasil pengujian didapatkan bahwa sistem navigasi waypoint pada robot dapat menuju tepat ke daerah sasaran musuh serta menghindari halangan di depannya dan selanjutnya kembali pada jalur navigasi menuju titik yang sudah ditentukan. Penelitian ini sangat berguna bagi TNI dalam melaksanakan penyerangan maupun pengintaian pada daerah operasi dengan memanfaatkan autonomous robot tank.

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