scholarly journals Extending Smart Phone Based Techniques to Provide AI Flavored Interaction with DIY Robots, over Wi-Fi and LoRa interfaces

2019 ◽  
Vol 9 (3) ◽  
pp. 224 ◽  
Author(s):  
Dimitrios Loukatos ◽  
Konstantinos G. Arvanitis
Keyword(s):  
Credit Card ◽  
Learning Experience ◽  
Low Cost ◽  
Voice Recognition ◽  
Smart Phone ◽  
Learning Activity ◽  
Raspberry Pi ◽  
Programming Environments ◽  
Robotic Vehicle ◽  
Educational Applications

Inspired by the mobile phone market boost, several low cost credit card-sized computers have made the scene, able to support educational applications with artificial intelligence features, intended for students of various levels. This paper describes the learning experience and highlights the technologies used to improve the function of DIY robots. The paper also reports on the students’ perceptions of this experience. The students participating in this problem based learning activity, despite having a weak programming background and a confined time schedule, tried to find efficient ways to improve the DIY robotic vehicle construction and better interact with it. Scenario cases under investigation, mainly via smart phones or tablets, involved from touch button to gesture and voice recognition methods exploiting modern AI techniques. The robotic platform used generic hardware, namely arduino and raspberry pi units, and incorporated basic automatic control functionality. Several programming environments, from MIT app inventor to C and python, were used. Apart from cloud based methods to tackle the voice recognition issues, locally running software alternatives were assessed to provide better autonomy. Typically, scenarios were performed through Wi-Fi interfaces, while the whole functionality was extended by using LoRa interfaces, to improve the robot’s controlling distance. Through experimentation, students were able to apply cutting edge technologies, to construct, integrate, evaluate and improve interaction with custom robotic vehicle solutions. The whole activity involved technologies similar to the ones making the scene in the modern agriculture era that students need to be familiar with, as future professionals.

scholarly journals Assistive guidance system for the visually impaired

2017 ◽  
Author(s):  
Rohit Takhar ◽  
Tushar Sharma ◽  
Udit Arora ◽  
Sohit Verma
Keyword(s):  
Credit Card ◽  
Visually Impaired ◽  
Low Cost ◽  
Histogram Equalization ◽  
Detection Algorithm ◽  
Contour Detection ◽  
Guidance System ◽  
Raspberry Pi ◽  
Pixel Intensity ◽  
Detection And Recognition

In recent years, with the improvement in imaging technology, the quality of small cameras have significantly improved. Coupled with the introduction of credit-card sized single-board computers such as Raspberry Pi, it is now possible to integrate a small camera with a wearable computer. This paper aims to develop a low cost product, using a webcam and Raspberry Pi, for visually-impaired people, which can assist them in detecting and recognising pedestrian crosswalks and staircases. There are two steps involved in detection and recognition of the obstacles i.e pedestrian crosswalks and staircases. In detection algorithm, we extract Haar features from the video frames and push these features to our Haar classifier. In recognition algorithm, we first convert the RGB image to HSV and apply histogram equalization to make the pixel intensity uniform. This is followed by image segmentation and contour detection. These detected contours are passed through a pre-processor which extracts the region of interests (ROI). We applied different statistical methods on these ROI to differentiate between staircases and pedestrian crosswalks. The detection and recognition results on our datasets demonstrate the effectiveness of our system.

Low Cost Internet of Things Based Remote Monitoring System and ECG Analysis

2020 ◽  
Vol 17 (4) ◽  
pp. 1863-1866
Author(s):  
M. C. Jobin Christ ◽  
A. Lakshmi Narayanan ◽  
S. Jothiraj
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Credit Card ◽  
Low Cost ◽  
Primary Objective ◽  
Medical Community ◽  
Raspberry Pi ◽  
Remote Monitoring System ◽  
Alert Message ◽  
Electrocardiogram Ecg

This paper explains an IoT controlled remote monitoring system. For the implementation of this system, Raspberry Pi is used. Raspberry Pi is a credit card sized single board computer, which has ARM11 microprocessor. A system is developed to continuously monitor the Electrocardiogram (ECG) and other vital parameters. The measured data is stored in a database and it can be displayed in a website that can be accessed only by authorized personnel like physicians, caretakers, etc. The primary objective of this setup is to update the data to the database and alert the physicians for any aberrancy. MySQLdb module is used to link Raspberry pi to the database. Alert message is sent by the combination of Raspberry Pi and GSM module. This system has more future scope as the data gathered by monitoring is very much important and can be used for scientific research by the medical community. By determining the patterns in the parameters observed, the nature of arrhythmias can be predicted. The paper mainly focuses on the system design and the algorithm used to accomplish the task.

scholarly journals IoT platform based Smart Assistant for Surveillance

2021 ◽  
Vol 20 ◽  
pp. 176-181
Author(s):  
Debalina Banerjee ◽  
Akashjyoti Banik ◽  
Sanjib Kumar Singh ◽  
Kandarpa Kumar Sarma
Keyword(s):  
Low Cost ◽  
Recognition System ◽  
High Energy ◽  
Raspberry Pi ◽  
Audio Signals ◽  
Energy Materials ◽  
Time Data ◽  
Metal Detector ◽  
Virtual Interface ◽  
Robotic Vehicle

Surveillance operations designed to be carried out by a robotic vehicle for entry into an area of higher risks and perform hazardous tasks form the core of this work. The system is integrated with a robotic vehicle that is controlled through a virtual interface and well supported by live video streaming. Here, the motion detection sensor is used as a simple but powerful human presence detector and alarm trigger. Also, the design has a metal detector and gas detecting sensor that can provide precaution against potential landmines present in the operations area and presence of chemicals, high energy materials or poisonous gases on regular and event-based occurrence. The real-time data of the gas sensor is stored in the local machine and also uses a speech recognition system developed using Raspberry Pi microcomputer to detect audio signals. It generates routine alarms on special/unknown/ first time patterns of audio threats. The system is designed using low-cost components.

scholarly journals Military Based Security System Using Raspberry Pi

2018 ◽  
Vol 7 (03) ◽  
Author(s):  
S. Kavitha ◽  
S.R.Kamali Varshini ◽  
Mrs.P. Vijayalakshmi
Keyword(s):  
Credit Card ◽  
Detection Algorithm ◽  
Human Detection ◽  
Raspberry Pi ◽  
Military Force ◽  
Military Organizations ◽  
Email Address ◽  
The Face ◽  
Robotic Vehicle ◽  
The Military

In today’s world Indian border military force is facing a huge destruction. Hence, most of the military organizations         take the help of military robots to carry out risky jobs which cannot be handled by humans. In this proposal, we design and implement in such a way that the robotic vehicle can enter into an area of higher risks, move and place wherever the object wants to go and captures intruder’s image. It has human detection Pi camera and temperature and gas detecting sensor that can provide precaution to potential crimes, fire and leakage of any gases. The credit card sized Raspberry Pi with Open Source Computer Vision (OpenCV) software controls the face detection algorithm and sends captured pictures to the user’s email via WI-FI. The pi-camera serves as the eye of the robot and provides us live video streaming. The biggest advantage of the system is that the user can get the picture of the intruder from anywhere in the world and can respond according to the risks in the situations.         The prime objectives of this paper are: To find the presence of an intruder - if detects, captures images and sends it to the given email address. Enables control of the robotic vehicle –i.e. The robot can be moved in any directions from the user present in any location. To find the presence of any gases present in the surrounding other than the normal air and warns the nearby person with its buzzing. Can monitor the location at any remote distance via live surveillance. To find the temperature of the environment

scholarly journals Assistive guidance system for the visually impaired

2017 ◽  
Author(s):  
Rohit Takhar ◽  
Tushar Sharma ◽  
Udit Arora ◽  
Sohit Verma
Keyword(s):  
Credit Card ◽  
Visually Impaired ◽  
Low Cost ◽  
Histogram Equalization ◽  
Detection Algorithm ◽  
Contour Detection ◽  
Guidance System ◽  
Raspberry Pi ◽  
Pixel Intensity ◽  
Detection And Recognition

In recent years, with the improvement in imaging technology, the quality of small cameras have significantly improved. Coupled with the introduction of credit-card sized single-board computers such as Raspberry Pi, it is now possible to integrate a small camera with a wearable computer. This paper aims to develop a low cost product, using a webcam and Raspberry Pi, for visually-impaired people, which can assist them in detecting and recognising pedestrian crosswalks and staircases. There are two steps involved in detection and recognition of the obstacles i.e pedestrian crosswalks and staircases. In detection algorithm, we extract Haar features from the video frames and push these features to our Haar classifier. In recognition algorithm, we first convert the RGB image to HSV and apply histogram equalization to make the pixel intensity uniform. This is followed by image segmentation and contour detection. These detected contours are passed through a pre-processor which extracts the region of interests (ROI). We applied different statistical methods on these ROI to differentiate between staircases and pedestrian crosswalks. The detection and recognition results on our datasets demonstrate the effectiveness of our system.

A Low-Cost Wireless Multi-Presentation on Single Screen in Classroom Using Raspberry Pi

2017 ◽  
Vol 12 (3) ◽  
pp. 23-33
Author(s):  
Budi Yulianto ◽  
Rita Layona ◽  
Lusiana Citra Dewi
Keyword(s):  
Digital Media ◽  
Credit Card ◽  
Teaching And Learning ◽  
Low Cost ◽  
Educational Institutions ◽  
Raspberry Pi ◽  
User Mobility ◽  
Media Player ◽  
Teachers And Students ◽  
The Cost

Smartphone has become a daily necessity in supporting the mobility of users, including teachers and students. The need of users to make multi-presentation via a smartphone wirelessly does not fit with the cost and multiplatform support. This study aims to produce a solution by using Raspberry Pi as a wireless digital media player that will be applied to educational institutions to make multi-presentation wirelessly at efficient cost. The results obtained from this study is a wireless digital media player application that is installed in Raspberry Pi, a credit-card size single board computer, and an Android application whose features of sending image, presentation, splitting screen, and able to give control and access grant. The conclusion is an application can augment user mobility within the presentation in teaching and learning effectively.

scholarly journals Review of Voice Controlled Robotic Arm-Raspberry Pi

2021 ◽  
Vol 5 (2) ◽  
pp. 1-4
Author(s):  
B. Shoban Babu ◽  
V. Priyadharshini ◽  
Prince Patel
Keyword(s):  
Wireless Communication ◽  
Life Skills ◽  
Voice Recognition ◽  
Smart Phone ◽  
Assistive Robotics ◽  
Robotic Arm ◽  
Raspberry Pi ◽  
Automotive Applications ◽  
The Voice ◽  
Knowledge Communication

One of the most essential life skills is to be able to communicate easily. In order to produce greater comprehension, communication is described as transmitting knowledge. Communication and technologies are not mutually exclusive. Speech Recognition is a technique that facilitates the processing of voice information to text and is independent of the speaker. This enables it to be used in various applications, from digital assistants to machinery control. The aim of this paper is to study numerous robotic vehicles powered by human speech commands. To accomplish this functionality, most of these systems run with the use of an android smart phone that transmits voice commands to a raspberry pi. The voice-operated robot is used to build one moving object. It is moved as per the voice recognition module commands, and the robot obtains that command. The robot compares the command with the stored software and then sets the command using wireless communication as per voice. These suggested methods would be useful for devices such as assistive robotics for people with disabilities or automotive applications such as work robots.

scholarly journals RPG: A low-cost, open-source, high-performance solution for displaying visual stimuli

2020 ◽  
Author(s):  
Vivian Imbriotis ◽  
Adam Ranson ◽  
William M Connelly
Keyword(s):  
Credit Card ◽  
High Performance ◽  
Low Cost ◽  
Sine Wave ◽  
General Purpose ◽  
Raspberry Pi ◽  
Visual Neuroscience ◽  
Stimulus Timing ◽  
Sine Wave Gratings ◽  
Python Package

AbstractThe development of new high throughput approaches for neuroscience such as high-density silicon probes and 2-photon imaging have led to a renaissance in visual neuroscience. However, generating the stimuli needed to evoke activity in the visual system still represents a non-negligible difficulty for experimentalists. While several widely used software toolkits exist to deliver such stimuli, they all suffer from some shortcomings. Primarily, the hardware needed to effectively display such stimuli comes at a significant financial cost, and secondly, triggering and/or timing the stimuli such that it can be accurately synchronized with other devices requires the use of legacy hardware, further hardware, or bespoke solutions.Here we present RPG, a Python package written for the Raspberry Pi, which overcomes these issues. Specifically, the Raspberry Pi is a low-cost, credit card sized computer with general purpose input/output pins, allowing RPG to be triggered to deliver stimuli and to provide real-time feedback on stimulus timing. RPG delivers stimuli at >60 frames per second and the feedback of frame timings is accurate to 10s of microseconds.We provide a simple to use Python interface that is capable of generating drifting sine wave gratings, Gabor patches and displaying raw images/video.

scholarly journals Camera Based Smart Surveillance System

2021 ◽  
Vol 9 (5) ◽  
pp. 48-51
Author(s):  
Mukul Singh ◽  
Md Nawaj Khan ◽  
Mohammad Makki ◽  
Md Irshad ◽  
Manohar Hussain ◽  
...  
Keyword(s):  
Web Application ◽  
Low Cost ◽  
New Technology ◽  
Smart Phone ◽  
Mobile Network ◽  
Raspberry Pi ◽  
Shopping Malls ◽  
Smart Surveillance ◽  
Outdoor Environments ◽  
Indoor And Outdoor Environments

This paper is the survey of Smart camera based surveillance monitoring system using Raspberry pi. Camera based surveillance is important in all sectors, they can be colleges and hospitals, shopping malls and other challenging indoor and outdoor environments require high end cameras. This paper focus on low-cost project on single board computer Raspberry Pi. This is new technology and far less expensive and, it is being used as a main platform for video detection and acquisition. It can be used with involvement of mobile network (internet) to provide essential security and surveillance to our properties and for other control applications. The security system records information and transmits it via network to a Smart Phone using web application Raspberry pi.

scholarly journals Intelligent home automated system

2019 ◽  
Vol 15 (2) ◽  
pp. 733
Author(s):  
R MF Amin ◽  
R FA Yasmin ◽  
A. N. Azlina ◽  
AB Zanariah ◽  
Y Faridah
Keyword(s):  
Credit Card ◽  
Intelligent Systems ◽  
Low Cost ◽  
Automated System ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Intelligent Home ◽  
Housing Area ◽  
Home Automation System

<p>Home automation system is one of the intelligent systems meant to create new opportunities for industry and business, as well as new experiences for users and consumers. This project is about designing, developing and testing a web-based intelligent home automation system called i-Home. The main users will be residents in any residential area i.e. gated community, terrace housing area, condominium and others. Its function is to ease residents in controlling the lights, fans, air conditioning, the house temperature and monitoring their CCTVs through online. For the hardware component Raspberry Pi was used due to its low cost, credit card-sized single-board computer that includes a processor, GPU, RAM and MicroSD as the server. Raspberry Pi primarily uses Linux-kernel-based operating system. It also requires PHP, JavaScript, Python and MySQL. The prototype of the system was built and performed most of the functions of home automation system. Usability and functional testing were carried out and both results showed that all functions worked perfectly.</p>

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