Chakravyuh : AI-IoT Mesh for Anti-Terrorism
Smarter than a camera. Quieter than a drone
Created on 2nd May 2025
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Chakravyuh : AI-IoT Mesh for Anti-Terrorism
Smarter than a camera. Quieter than a drone
The problem Chakravyuh : AI-IoT Mesh for Anti-Terrorism solves
- Border Infiltration in Forest Terrains: Infiltrators exploit dense forests and valleys to cross borders undetected.
- Blind Surveillance Zones: Remote and off-grid areas lack CCTV, drones, or real-time monitoring.
- Unpredictable Smuggling Routes: Terrorists and smugglers use natural cover like caves, mangroves, and rivers to transport arms, drugs, or people.
- Delayed Detection & Response: Current systems detect threats only after an incident has occurred.
- Lack of Real-Time Ground-Level Intelligence
- Heavy Dependency on Human Patrols: Troops face fatigue, risk, and gaps in 24/7 coverage.
- High Cost & Power Consumption of Surveillance Equipment: Existing surveillance solutions like thermal cameras and drones are expensive and energy-hungry.
- Limited Monitoring in Fog, Darkness & Dense Vegetation9. Non-scalable Monitoring Infrastructure
- Installing towers, wiring, or internet in harsh terrains is logistically difficult and slow.
- Communication Gaps in Remote Regions: Lack of cellular or satellite signal makes remote surveillance nearly impossible.
Challenges we ran into
Training and Deploying a TensorFlow Lite Model on Edge Hardware
One of the most complex hurdles we faced was training a custom TensorFlow Lite (TFLite) model to detect specific audio patterns like footsteps, whispers, and gun reloads, and then deploying it on low-power edge devices like the ESP32.
PITCH DECK : https://shorturl.at/JFN8d
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