Portfolio / Project 01
Fleet Command
Dashboard
A real-time command interface for managing autonomous surface vessels across the Indian Navy's coastal patrol network. Designed for 24/7 maritime operations where split-second decisions protect lives, assets, and national security.
Client
Shoft Shipyard
Role
Lead Product Designer
Timeline
3 months
Platform
Desktop Web App
Domain
Maritime Defense
Year
2021
The Challenge
Shoft Shipyard was contracted to develop an autonomous surface vessel fleet management system for the Indian Navy's coastal surveillance program. Shore-based operators would manage multiple unmanned vessels simultaneously — monitoring sensor data, overriding autonomous decisions, and coordinating patrol missions across the western seaboard.
The core design challenge: how do you give a single operator confident situational awareness across an entire fleet of autonomous vessels, while ensuring they can intervene decisively when autonomy confidence degrades — especially in high-traffic shipping lanes like the Mumbai-Kochi corridor?
In naval operations, information overload kills. The interface must surface the right data at the right moment — nothing more, nothing less. I led the end-to-end design of this system over three months, from operator research to delivered prototype.
Design Approach
01
OODA Loop Framework
Structured every screen around the military decision cycle — Observe, Orient, Decide, Act. Operators don't browse; they execute. The interface guides them through each phase with escalating urgency, aligned with Indian Navy standard operating procedures.
02
Autonomy Confidence Scoring
A 0–100% confidence metric for each vessel's autonomous decision-making. Green (≥80%) means the system is performing well. Amber (50–79%) flags degradation. Red (<50%) triggers override recommendations. This graduated model prevents alert fatigue during extended watch rotations.
03
Dark CIC Aesthetic
Modeled after Combat Information Center environments at INS Karwar and Shoft's own bridge simulator facility. Dark backgrounds with high-contrast cyan, amber, and red indicators optimized for 12-hour watch shifts in dimly lit command rooms.
04
Progressive Disclosure
Fleet overview → vessel selection → deep-dive detail. Operators start broad and drill down only when something demands attention. Critical alerts surface at every level, but detailed diagnostics stay one click away — reducing cognitive load under pressure.
Domain Expertise
I spent four years as a mechanical engineer at Shoft Shipyard — designing hull structures, working with classification societies (Indian Register of Shipping, Lloyd's, DNV), and understanding how vessels operate in the demanding conditions of the Arabian Sea and Bay of Bengal.
That experience shaped every decision in this interface. I know that sea state data isn't just a number — it determines whether a 12-meter ASV can maintain sensor accuracy in monsoon swells. I understand that CPA (Closest Point of Approach) is the metric that determines collision risk, not distance alone. And from time spent with Indian Navy operators during sea trials, I learned how decisions are actually made under pressure in a CIC environment.
This is the difference between a designer who researches maritime operations and one who has lived them.
Interactive Prototype
Explore the Dashboard
Click through all six screens — fleet map, vessel detail, mission planning, alerts, sensor fusion, and fleet health. Every element is interactive.
🗺️ Fleet Overview🚢 Vessel Detail📍 Mission Planning⚠️ Alerts & Override📡 Sensor Fusion🔧 Fleet Health
FLEET COMMAND
🗺️ Fleet Overview
🚢 Vessel Detail
📍 Mission Planning
⚠️ Alerts & Override
📡 Sensor Fusion
🔧 Fleet Health
2 CRITICAL
ONLINE
SEA STATE 2 | WIND 12kt NNE | VIS 8nm
Threat Zone
Patrol Zone Alpha
ASV-01
ASV-02
ASV-03
ASV-04
ASV-05
ASV-06
ASV-07
5 NM
Fleet Status5/7 Active
ASV-01Sentinel
active
Patrol Alpha
AUTONOMY
94%
BAT
78%
ASV-02Guardian
active
Recon Bravo
AUTONOMY
87%
BAT
65%
ASV-03Vanguard
alert
Interdiction Charlie
AUTONOMY
61%
BAT
42%
ASV-04Specter
active
Patrol Alpha
AUTONOMY
96%
BAT
91%
ASV-05Phantom
rtb
RTB — Low Battery
AUTONOMY
72%
BAT
18%
ASV-06Horizon
maintenance
Dry Dock — Prop Service
AUTONOMY
0%
BAT
100%
ASV-07Triton
active
Escort Delta
AUTONOMY
91%
BAT
83%
FLEET COMMAND v2.1 · SHOFT SHIPYARDREBECKA RAJ
Key Design Decisions
Emergency Override Patterns
Before
After
Single-action critical commands with two-step confirmation only for mission-altering decisions. In a maritime emergency, an extra click costs time. Hold Position and Manual Helm are one-tap actions.
Impact
Reduced emergency response time from 8s to 2s during simulated exercises
Sensor Fusion Display
Before
After
Unified radar-style display with classification overlays. Contacts appear once with combined confidence from all sensor sources. CPA and threat assessment are calculated automatically and displayed inline.
Impact
Eliminated duplicate contact tracking and reduced classification time by 60%
Battery-Triggered RTB
Before
After
Automated RTB at 20% battery with operator override option. The system acts first, then the human decides whether to countermand. Visual and auditory alerts escalate at 30%, 25%, and 20% thresholds.
Impact
Zero vessel losses from battery depletion across 14 months of fleet operations
Designed by Rebecka Raj at Shoft Shipyard, 2021
This system was deployed across Shoft's autonomous vessel fleet and used in coordinated exercises with Indian Navy coastal command.
Back to Projects