Multimodal Intelligence Mesh for Global Crisis Management & Precision Agriculture.
ENOSES (Electronic Nose Ecosystem) is a sovereign multimodal framework engineered by Momenul Ahmad. It repurposes the HP Pro x2 Multimodal Array into a high-fidelity sensing node. By bridging physical acoustic waves and optical data through a global cloud broker, ENOSES delivers real-time, actionable intelligence to 9 critical global sectors.
Momenul Ahmad
Founder of SEOSIRI.COM
Vibe Architect & Multimodal Systems Engineer
| Sector | Objective | Signal Logic |
|---|---|---|
| Search & Rescue | Survivor Detection | Rhythmic Human/Canine Respiration |
| Agriculture | Crop Protection | Pest Chitin Resonance & Thermal Crackle |
| Aerospace | Target Tracking | Jet/Drone Mechanical Frequency Extraction |
| Ocean | Marine Defense | Hydro-acoustic Sonar & Bio-sync |
| Mining | Structural Safety | Subterranean Seismic Fracture Detection |
| Climate | Hazard Warning | Sand, Snow, and Thunderstorm Classification |
| Space | Quantum Analysis | Meta-Material Entry Friction Resonance |
| Emergency | Global Defense | Kinetic Impact & Rocket Launch Ballistics |
| Environment | Wildlife Tracking | High-frequency Avian Biological Patterns |
| Company | Core Technology | Strengths | Limitations vs ENOSES |
|---|---|---|---|
| SEOSiri ENOSES | Multimodal AI (acoustic + optical) | Real‑time pest detection, robotics commands | Early‑stage adoption, infrastructure‑heavy |
| Indigo Ag | Biological inputs + carbon marketplace | Sustainability, supply chain optimization | No real‑time swarm detection |
| CropX | IoT soil sensors + analytics | Strong soil monitoring | Limited aerial/pest detection |
| FarmInsect | IoT insect farming | Circular economy protein production | Not focused on crop protection |
| World of Farming | LED vertical fodder systems | Water‑efficient fodder production | Narrow scope, doesn’t address pest/climate threats |
- Acoustic pest detection: Identifies harmful insect swarms before they land.
- Optical stress monitoring: Detects irrigation failures and crop stress visually.
- Autonomous robotics integration: Direct commands to drones and sprayers.
- Cloud telemetry: Digital twin of farm environments for real‑time decision‑making.
A[HP Pro x2 // Field Node] -->|Acoustic Waves| B(Python DSP Core)
A -->|Optical Frames| C(Vision AI Engine)
B -->|JSON Telemetry| D{EMQX Industrial Cloud}
C -->|Base64 Imagery| D
D -->|Real-time Routing| E[Tactical Command Dashboard]
D -->|Robotics API| F[Ground Robots / Drones]
E -->|Manual Override| F
subgraph "SEOSIRI SOVEREIGN NETWORK"
B
C
D
end
subgraph "DELIVERABLES"
E
F
end
The backend leverages Fast Fourier Transform (FFT) and RMS Signal Processing to translate physical air pressure into a standardized JSON Robotics API.
- Protocol: MQTT v5.0 (EMQX Industrial Cloud)
- Persistence: Local D-Drive CSV "Black Box" Logging
- Uplink: Sub-100ms Latency (Edge-to-Cloud)
An uncompressed HTML5/JavaScript dashboard for global remote monitoring.
- Vision AI: Real-time pixel analysis for Optical Fire and Lightning detection.
- Telemetry: 12 Multimodal metrics including Ozone (ppm) and Molecular Density.
- Accessibility: WCAG 2.1 Compliant with ARIA-mapped live updates.
AURA_SEO_ENGINE: The Digital Intelligence layer providing keyword-driven environmental insights. SEOSIRI_ROBOTICS_ACTUATOR: The physical hardware controller that receives the robotics_cmd from ENOSES. MULTI_SATELLITE_UPLINK: The high-speed data-bridging layer for rural connectivity.
- Clone the Repository:
git clone https://github.com/SEOSiri-Official/ENOSES.git cd ENOSES && pip install -r requirements.txt && python src/enoses_core.py