E2C
CCTV
SIH
CCTV-Survillence // E2C

Intelligent Border Video Analytics

Zero-latency threat triage converting standard border optical & thermal feeds into actionable defense intelligence. Powered by an advanced Vision-Language architecture.

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Massive Scale Capabilities

Engineered for border security command centers, fusing cutting-edge AI with ultra-low latency streaming protocols.

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Hardware-Agnostic Edge

Integrates instantly with existing IP (RTSP), ONVIF, and drone links without requiring dedicated proprietary smart cameras. Works on standard mini-PCs.

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Zero-Shot Grounding

Powered by the LocateAnything-3B VLM. Execute natural language queries like "unattended cargo" or "armed trespasser" without retraining models.

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Parallel Box Decoding

Bypasses sequential text generation bottlenecks. Our PBD engine extracts bounding boxes 2.5Γ— faster, achieving 12.7+ targets per second on edge hardware.

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Interactive Geofencing

Draw virtual tripwires and exclusion zones directly on the video feed. Real-time vector math triggers alerts instantly upon polygon intersection.

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Persistent Tracking

ByteTrack & Kalman filtering ensure targets maintain their identities even through dense dust, foliage, or temporary camera occlusions.

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Unified C2 Dashboard

A single React/Vite command center. Replaces disparate pipelines (YOLO, OCR, FaceRec) with one unified threat timeline and telemetry HUD.

Pitch Presentation

Review the end-to-end architecture, technical methodologies, and SIH impact statement.

πŸ“„ Slide Deck View
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Live Command Interface

Interact with the SENTINEL-3B tactical frontend. Explore geofencing, threat logs, and telemetry.

πŸ”΄ Live Terminal Preview
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Technical Documentation

Comprehensive system architecture, installation guide, and API specifications.

Compiling System Documentation...

How to Use

Getting started with the E2C platform is simple. Clone the repository, download the VLM weights, and launch the servers.

System Requirements

  • Python 3.10+
  • Node.js 18+
  • NVIDIA GPU (RTX 3080+)
  • CUDA 12.1+
Terminal
# 1. Clone repository and initialize Git LFS
git clone https://github.com/lenluarun/E2C-CCTV.git
cd E2C-CCTV
git lfs install
# 2. Acquire LocateAnything-3B weights
huggingface-cli download nvidia/LocateAnything-3B --local-dir LocateAnything-3B
# 3. Setup Python Backend
cd backend
python -m venv venv
# Windows: .\venv\Scripts\activate
pip install -r requirements.txt
uvicorn main:app --host 0.0.0.0 --port 8000
# 4. Setup React Frontend
cd ../frontend
npm install
npm run dev