Infant Monitoring System for Deaf Parents

2021 ◽  
pp. 527-534
Author(s):  
Akshay Mohite ◽  
Prof. Dhiraj Jadhav
Keyword(s):  
Mobile Phone ◽  
Monitoring System ◽  
Intelligent System ◽  
Raspberry Pi ◽  
Deaf People ◽  
Audio File ◽  
Phone Number ◽  
Alert Message ◽  
Deaf Parents ◽  
Sim Card

Infant Monitoring System for Deaf Parents that aims to convert Baby crying sounds which are not distinguishable by deaf people into recognizable alerts. The project proposes an intelligent system which is capable of identifying the cry of baby using mic and send the alerting messages directly to the concern person’s mobile phone number using GSM Modem. This project makes use of a mic, GSM Modem, and Raspberry Pi processor. Raspberry Pi processor automatically reads the crying sound of the baby using mic, which is interfaced to the USB driver of the Raspberry Pi, after audio file is recorded it is processed with ANN, filtered with MFCC then the processor will detect sound consist of baby cry. If baby cry detected then predefined alert message will be sent to the predefined phone number that is stored in SIM card via GSM modem.

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.

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

scholarly journals Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

2021 ◽  
Vol 13 (15) ◽  
pp. 8182
Author(s):  
José María Portalo ◽  
Isaías González ◽  
Antonio José Calderón
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Smart Grids ◽  
Raspberry Pi ◽  
Operator Interface ◽  
Open Source Hardware ◽  
Real Time Information ◽  
And Storage ◽  
Time Information ◽  
Pv Generator

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

Intelligent Environmental Monitoring System Based on Multi-Sensor Data Technology

2020 ◽  
Vol 11 (4) ◽  
pp. 57-71
Author(s):  
Qiuxia Liu
Keyword(s):  
Data Fusion ◽  
Environmental Monitoring ◽  
Real Time ◽  
Monitoring System ◽  
Intelligent System ◽  
Evidence Synthesis ◽  
Environmental Parameters ◽  
Monitoring Data ◽  
Sensor Data ◽  
Environmental Monitoring System

Using multi-sensor data fusion technology, ARM technology, ZigBee technology, GPRS, and other technologies, an intelligent environmental monitoring system is studied and developed. The SCM STC12C5A60S2 is used to collect the main environmental parameters in real time intelligently. The collected data is transmitted to the central controller LPC2138 through the ZigBee module ATZGB-780S5, and then the collected data is transmitted to the management computer through the GPRS communication module SIM300; thus, the real-time processing and intelligent monitoring of the environmental parameters are realized. The structure of the system is optimized; the suitable fusion model of environmental monitoring parameters is established; the hardware and the software of the intelligent system are completed. Each sensor is set up synchronously at the end of environmental parameter acquisition. The method of different value detection is used to filter out different values. The authors obtain the reliability of the sensor through the application of the analytic hierarchy process. In the analysis and processing of parameters, they proposed a new data fusion algorithm by using the reliability, probability association algorithm, and evidence synthesis algorithm. Through this algorithm, the accuracy of environmental monitoring data and the accuracy of judging monitoring data are greatly improved.

scholarly journals IoT based Paralyzed Patient Health and Body Movement Monitoring System

2021 ◽  
Vol 9 (VI) ◽  
pp. 4495-4500
Author(s):  
Hemanth Kumar. R
Keyword(s):  
Monitoring System ◽  
Spinal Cord Injuries ◽  
Body Movement ◽  
Developed Countries ◽  
Health Condition ◽  
The Body ◽  
Raspberry Pi ◽  
Normal Person ◽  
Patient Health ◽  
Paralyzed Patient

Healthcare systems are a very important part of the economy of any country and for the public health. The IoT-based monitoring system for patients with paralysis, which helps to promote the health condition of a patient with paralysis, in addition to the day-to-day life. India has suffered a stroke, the incidence is much higher than that of the more developed countries, it is home to around 2.1 million Indians suffered from the boom of the (lame) per year. If a patient is suffering from a paralysis attack in all or any part of the body can be turned off in order to move in, which means that their movement is restricted and they can barely communicate with anyone at all, because they can't talk like a normal person. Raccoons will find it difficult to understand what they are saying, and help them deal with their day-to-day needs, such as food, water, etc.). At present, work is in progress on the review of the motion parameters on the legs, arms, and head of the paralytics. This paper investigates the development of an integrated and portable prototype is a model of a system for the monitoring of the various movements of the body, spinal cord injuries, with the help of sensors. The tests were carried out by placing the sensors on the head, arm, and leg of the paralyzed patient the data received from these sensors are sent to the raspberry pi 3 model. In the Android app, you'll receive a verbal warning, and if the patient is in need of help via Bluetooth, which, in turn, is connected to the raspberry pi.

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