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AI & IoT Off- grid Tracking System

Network-independent rescue & safety tracking

Created on 8th February 2026

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AI & IoT Off- grid Tracking System

Network-independent rescue & safety tracking

The problem AI & IoT Off- grid Tracking System solves

OVERVIEW
The Off-Grid Tracking System is an AI and IoT-based solution designed to provide real-time location tracking and emergency communication in areas where mobile networks or internet connectivity are unavailable.

The system uses:

Wearable tracking devices (watches)

LoRa-based long-range communication poles

A central control panel for monitoring

This ensures continuous monitoring and safety in remote and network-dead zones.

The Problem It Solves

Many critical environments lack reliable network connectivity, which creates serious safety risks:

Trekkers and mountaineers get lost without any way to communicate.

Rescue operations are delayed due to lack of location information.

Disaster-hit areas lose communication infrastructure.

Workers in mines, forests, and remote construction sites cannot be monitored.

Traditional solutions like mobile phones or GPS trackers fail without network coverage.

Walkie-talkies provide limited range and no location tracking.

Result:
Delayed rescue, increased risk to life, and lack of real-time situational awareness.

How the Off-Grid Tracking System Solves This

Uses LoRa technology for long-range communication (up to 5–10 km per pole)

Works without mobile network or internet

Provides real-time location tracking

Includes SOS emergency alert button

Central control panel monitors all users on a live dashboard

AI-based alerts for unusual movement, inactivity, or emergency situations

Challenges we ran into

Challenges We Faced

  1. LoRa Signal Issues

Problem: Initial communication range was unstable.
Solution: Optimized LoRa settings, used better antennas, and adjusted pole placement through field testing.

  1. GPS Delay & Accuracy

Problem: GPS took time to lock and gave inconsistent readings.
Solution: Filtered invalid data and used location averaging for better accuracy.

  1. Battery Drain

Problem: Continuous GPS and transmission reduced battery life.
Solution: Implemented sleep mode and reduced transmission frequency.

  1. Hardware Integration

Problem: Issues while connecting ESP32, GPS, and LoRa together.
Solution: Proper voltage regulation and module-wise testing before final integration.

  1. Real-World Testing

Problem: Difficult to simulate remote conditions.
Solution: Conducted outdoor field tests and optimized system performance.

Discussion

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