Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 3 | september 2023
Published
16 August, 2023
The Trek Monitoring System is a comprehensive hardware and software research initiative aimed at ensuring the safety and navigation of trekkers under the purview of Trekking Companies. This system addresses potential health and weather related challenges that may arise during treks, providing trekkers with a reliable guide to reach their destinations safely. The research encompasses a user friendly website offering essential information on various locations, detailed itineraries, and real time weather forecasts. Additionally, a specially designed hardware gadget, comprising a Temperature Sensor, Pulse Sensor, Arduino, LCD I2C Display, NodeMCU, and GPS Module, presents trekkers with instant temperature and pulse data while transmitting the same, along with precise GPS location, to the website. This facilitates continuous monitoring by Trekking Companies, enabling prompt assistance whenever necessary. The system further ensures regular assessment of trekker’s health conditions, contributing to timely search and rescue operations when it is necessary. By providing an efficient and secure trekking environment encompassing weather forecasts, location tracking, and health monitoring, the Trek Monitoring System promotes a seamless and protected trekking experience.
KeywordsTrek Monitoring System Safety Navigation Trekkers Weather Forecasts Health Monitoring Location Tracking Real time Data Assistance Trekking Adventure
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