FlytBase Drone Security
A unified command center for autonomous drone security operations — conceptualised for Le Musée d'Art Précieux, Paris.
Role
Product Designer
Team
Solo Designer
Timeline
4 Weeks
Tools
Figma, Miro, AI Studio
Strategic Security Orchestration
I conceptualised a unified command center for autonomous drone security operations at Le Musée d'Art Précieux in Paris — a high-fidelity product design challenge set by FlytBase.
The museum houses works valued at over €2 billion across 65,000 sqm. The goal was to enabling a team of 24 guards to manage 6 autonomous drones effectively.
Decision Support
AI confidence scoring cuts manual triage time from 45s to seconds.
Multi-Incident
Ranked P1/P2/P3 alerts with drone assignment suggestions.
Persistence
Mandatory shift briefings preserve institutional memory across rotations.
Engineering security at museum scale
Security operators face catastrophic information overload from disconnected systems — CCTV, motion sensors, pressure sensors, and drone consoles — with no single source of truth.
"With 65,000 square metres and over 400 rooms, it's impossible to have eyes everywhere. We almost lost a Degas worth €30 million when sensors failed in the east wing."
Marc
Head of Security, Le Musée d'Art Précieux
Disconnected CCTV, motion sensors, and access-control systems create information silos — making it impossible for operators to form a coherent situational picture during active incidents.
150+
Global 2023
Attempted thefts
€30M
At Risk
Asset Value
45s
Lost Time
Manual Triage
24/7
Requirement
Operational
Who are we designing for at 2 AM?
I mapped four distinct security stakeholders, each with specific cognitive requirements under pressure.
Marc, 58
Security Director
Needs accountability, actionable clarity, and system-level performance data he can trust. Avoids UI noise.
Isabelle, 34
Lead Drone Operator
Technically proficient and calm. Needs fast triage support and structured multi-incident flows.
Luc, 26
Junior Security Analyst
Excels with tech but lacks experience. Needs AI confidence signals to escalate correctly.
Sophie, 42
Night Shift Supervisor
Coordinates field guards. Needs full situational context immediately at shift start.
Shifting from Monitoring to Triage
Each alert card surfaces an AI Confidence Assessment — a percentage score, a root-cause hint, and sensor reliability context.
45s
Efficiency
Reduced to seconds
97%
Accuracy
False-positive rate
<8s
SLA
Response Target
Autonomous Intercept Logic
When critical alerts fire simultaneously, the dashboard enters multi-incident mode — ranking incidents as P1, P2, P3.
Breach Detected
AI analyses multi-sensor fusion inputs.
Drone Dispatched
Autonomous route calculated in <3 seconds.
Guard Notified
Nearest unit receives turn-by-turn navigation.
Evidence Compiled
Thermal and logs packaged for audit.
Solving the Context Gap
I designed a mandatory Shift Briefing flow that ensures situational awareness is preserved across 24/7 rotations.
Briefing Modules
- Incidents Summary
- Fleet Readiness
- Coverage Gaps
- Director's Note
- Operator Handover
2–3m
Speed
Time to awareness
100%
Reliability
Context transfer
Building the Modular Command Hub
The command centre UI is built on a modular widget-based grid. We prioritize Live Camera Feed and Drone Telemetry.
Dashboard
Live incidents & AI triage
Fleet Management
Drone health & docking
Manual Control
Direct piloting overrides
Patrols
Autonomous route library
Incidents
Historical forensic logs
System Settings
Zones & SLA thresholds
All major user flows mapped across the hub
All major user flows — from alert triage to shift handover, drone dispatch to manual override — are mapped across the Dashboard as the central hub. The flowchart covers 8 distinct flow groups including: alert management, drone patrol, manual control, multi-incident mode, shift briefing, fleet management, settings, and escalation paths.
Collaborating with Machines
AI was used as a deliberate collaborator at every stage — to accelerate reasoning and validate persona flows.
Perplexity
Deep analysis of the brief — extracted museum context, constraints, and all 4 persona pain points
Perplexity + ChatGPT
Problem framing — grouped issues into 3 gaps: decision support, multi-incident prioritisation, context persistence
ChatGPT + Perplexity
Information architecture — wrote textual user flow descriptions before any visual structure
Eraser.io → FigJam
Flowchart — translated text flows into structured nodes, then iterated and annotated in FigJam
ChatGPT
Flow validation — checked every step against each persona; led to making shift briefing mandatory
AI + Gemini Dynamic View
Feature lists per screen; visual layout exploration for alert cards, multi-incident view, shift briefing
Stitch + Google AI Studio
Mockup refinement for UI consistency; built interactive prototype simulating 2:37–2:47 AM scenario
Perplexity + ChatGPT
Prototype stress-testing — verified every pain point was addressed; identified gaps in drone readiness cues
Operational Safety over Flashy UI
Every design decision involved a trade-off. We prioritised operational safety over conventional feature richness.
Decision 01
Clarity over complexity
Instead of: Decorative data visualizations
A calm, legible hierarchy outperforms impressive charts during 2 AM crisis mode.
Decision 02
Human-in-the-loop
Instead of: Full automation dispatch
Accountability cannot be delegated to models in high-stakes security.
Decision 03
Focused V1 over feature breadth
Instead of: Solving every possible scenario
V1 focuses on three pain clusters: understanding alerts, handling multiple incidents, and preserving shift context. Depth in the right places beats surface coverage of everything.
Decision 04
Scenario-driven design
Instead of: Generic dashboard conventions
Primary flows are anchored in concrete 2-3 AM scenarios from the brief. UI decisions are grounded in the operational moment, not borrowed from SaaS patterns that serve no one in particular.
Moving the Needle
The system transforms museum security from reactive to proactive, reducing incident response time by an estimated 40%.
40%
Reduction
Response time
6
Simultaneous
Active Drones
100%
Automated
Forensic Trails
24/7
Full Rotation
Reliability
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