lmagee3/towerguard

GitHub: lmagee3/towerguard

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# TowerGuard **Persistent Perimeter Awareness** TowerGuard is an AI-native perimeter intelligence platform built around a multi-drone autonomous nest designed for persistent perimeter awareness. TowerGuard combines: - Autonomous patrols - Drone rotation - Anomaly detection - Authorized operator takeover - Intelligent mission orchestration **Current Development Stage:** TowerGuard Sim — Technical Feasibility Phase ## What TowerGuard Is An **AI-native Perimeter Intelligence Platform** — not a drone product. The drone fleet is the sensor layer. The AI is the brain. The platform is the product. | Capability | Phase | |---|---| | Automated patrol rotation | Phase 1 | | Anomaly detection + alerting | Phase 1 | | Remote manual takeover | Phase 1 | | Incident logging | Phase 1 | | Thermal imaging integration | Phase 2 | | Radar + RF detection | Phase 2 | | AI event classification | Phase 2 | | Guard dispatch workflows | Phase 2 | | Multi-site orchestration | Phase 3 | ## Current Phase: Simulation We are building **TowerGuard Sim** — a functional command-and-control prototype before any hardware investment. **Deliverables (Sprint 001):** - [ ] FastAPI backend with drone/nest state models - [ ] Telemetry simulation engine - [ ] Mission dispatch and alert generation - [ ] React dashboard (fleet cards, alert feed, manual controls) - [ ] Return-to-nest workflow ## Nest Concept A single deployed nest holds 3–4 low-cost drones in continuous rotation: WT-01 → Patrolling WT-02 → Ready (standby) WT-03 → Charging WT-04 → Maintenance / Backup This rotation eliminates coverage gaps. When WT-01 returns low-battery, WT-02 launches. No dead time. No missed events. ## Repository Structure towerguard/ ├── docs/ — product, govcon, architecture, market research ├── frontend/ — dashboard (React) + mobile ├── backend/ — FastAPI: api, telemetry, auth, ai ├── simulation/ — drone-sim engine, scenarios, test environments ├── integrations/ — DJI, FlytBase, cameras, sensors └── ops/ — sprint plans, handoffs, decisions ## Market TowerGuard serves two markets that reinforce each other. **Commercial (revenue first):** Any person or organization with a perimeter they can't watch continuously. Farms, ranches, construction sites, warehouses, distribution centers, office parks, commercial campuses. Fast sales cycle, no compliance overhead. This is where the first pilots come from. **Government / GovCon (scale + funding):** Military installations, critical infrastructure, border security, corrections. Slower to close, but non-dilutive funding and enterprise contract values. Commercial pilot data is what makes these conversations credible. ### Non-Dilutive Funding Targets - **AFWERX** — Air Force innovation program - **SBIR** — Small Business Innovation Research - **DHS** — Dept. of Homeland Security - **DIU** — Defense Innovation Unit - **Army xTech** Pitch framing: *Autonomous perimeter intelligence for persistent security — commercial-proven, government-ready* ## Team | Role | Owner | |---|---| | Founder / Principal Systems Architect | Lawrence Magee | | Chief Strategy & Systems Architect | ChatGPT | | Senior Technical Architect | Claude | | Lead Implementation Engineer | Codex | | QA / Red Team / Systems Auditor | AntiGravity | See [TEAM.md](TEAM.md) for full role definitions. ## Docs - [VISION.md](VISION.md) — product vision and doctrine - [ARCHITECTURE.md](ARCHITECTURE.md) — system architecture - [ROADMAP.md](ROADMAP.md) — phase plan and milestones - [FUNDING_STRATEGY.md](FUNDING_STRATEGY.md) — grant and GovCon strategy - [TEAM.md](TEAM.md) — team roles and division of labor - [COMPETITOR_INTEL.md](COMPETITOR_INTEL.md) — competitive landscape - [OPUS_START_HERE.md](OPUS_START_HERE.md) — full project brief for AI agents *Built under Malleus Prendere. Chaos Monk product line.*