This book reviews humanitarian literature and presents the development of low-cost track & trace management system integrated with accurate GPS location data pinging using Internet of Things (IoT). The first part relates to mobile device configuration with an embedded GPS and wireless Internet connection to transmit its current location. The second part presents web server implementation and development that receives the data, parses it, and stores it for access over the Internet. The third part discusses the user interface that allows one to visually identify the current location of the device.
Author(s): Suresh Merugu, Amit Kumar, George Ghinea
Series: Advanced Technologies and Societal Change
Publisher: Springer
Year: 2022
Language: English
Pages: 162
City: Singapore
508816_1_En_OFC
Introduction
Objective
Future Scope
Technical Approach
Hardware Description
Software Requirement
Outline of This Book
Contents
Dementia and Intellectual Disability Management System: A Conceptual Study
Introduction
Intellectual Functioning
Adaptive Behavior
Genetic
Environmental
Epidemiology
Physical Observation and History
Behavioral Intervention
Conclusion
References
A Review of Some Assistive Tools and Their Limitations
Introduction
Assistive Technology
Portable Electronic Travel Tools
Mobile Accessibility Tools
Wearable Assistive Tools
Integration of Different Assistive Technologies
Current and Future Assistive Technologies
Conclusion
References
A Technical Review on UAV for Object Detection
Introduction
Uncrewed Aerial Vehicle
Degree of Autonomy
Applications
Types
History
Object Detection Through Cloud-Based CNN
Literature Survey
Challenges Met
Future Insights
Object Detection Through an Embedded System
Literature Survey
Challenges Met
Future Insights
Object Detection Using CNN Yolo Detector
Literature Survey
Challenges Met
Future Insights
Object Detection Using CNN SSD Detector
Literature Survey
Challenges Met
Future Insights
Object Detection Using SVM Classifier
Literature Survey
Challenges Met
Future Insights
Conclusion
References
Hardware, Component, Description
ESP8266
Features ESP-01 Module Firmware
Variant Features of ESP01/ESP02/ESP8266
Variants
ESP-01
ESP-03
Olimex ESP8266 Eval Board
Functional Description
Block Diagram
U-Blox NEO-6M GPS Module
Initial Test Setup
Serial Monitor with Data Sets
Mixed Thoughts and Notes
Power Supply
Transformer
Rectifier
Bridge Rectifier
Filter Capacitor
Voltage Regulator
Regulator
7805
7812
References
Implementation
Introduction
Block Diagram
Working
HTTP Protocols
Cloud Computing Vendors
Cloud Computing
Internal IP Address
Connecting Node MCU ESP-12E to Wi-Fi Router Using IDE
System Hardware
Schematic Diagram
Flow Chart
Results and Conclusion
Results
Conclusion
References
Track and Trace Management System for Dementia and Intellectual Disabilities
Objectives
Problems Facing by Dementia and Mentally Disabled Persons
Limitations on existing methods
Our proposed system
Advantages
Features
Future scope
M5-Tracker (Dementia, Elderly, Visually Impaired and Intellectual Disabilities Tracking Device)
Introduction
Summary of M5-Tracker
Android App Specification
Web Portal Specification
Hardware, Software, and Server Specification
Specification for GSM
Specifications for GPRS Data
Specification for GPS
Specification of Controller
Power Supply Unit
Server
Includes
After One Year
Includes
Picture of the M5-Tracking Device
Screenshots of WEB Portal
Geriatric Mobility Assistive System
Introduction
Literature Survey
Proposed Solution
Process
Advantages
Outcomes
Conclusion
References
Dementia Disease Detection from Psychiatric Disorders Based on Automatic Speech Analysis
Introduction
Proposed Method
Preprocessing
Feature Extraction
Classification
Experimental Results
Conclusion
References
Localization and Mapping of Visually Impaired
Introduction (Need Assessment for S & T Intervention in Proposed Aspect)
Approved Objectives of the Book
Achieved Objectives
Progress of the Book as on Date (Please Mention 4–5 Salient Features)
Details of Prototype Developed if Any and Mechanism for Dissemination/Production (You May Give a Schematic Diagram of the Prototype Developed If Any and Tie Up with Different Agencies for Dissemination/Production)
Detailed Progress Report
Method
Statistical Analysis
Observations
Result
Features of the Prototype
Diabetic Retinopathy Detection
Problem Statement
Background
Methodology
Experimental Design
Dataset
Evaluation Measures
Software and Hardware Requirements
Real-Time Health Monitoring Using Wearable Devices
Problem Statement
Background
Methodology
Experimental Design
Dataset
Evaluation Measures
Software and Hardware Requirements
AI System for Prediction and Recommendation of Diabetes
Problem Statement
Background
Methodology
Experimental Design
Dataset
Evaluation Measures
Software and Hardware Requirements
Appendix
Software Description
Source code (Embedded system)
Front End—Hypertext Markup Language
Bibliography
