Fx
FleetOS
by nxtbyte.io · Command Platform
Systems nominal
Product Brief · 2026.04
Vehicle Intelligence & Fleet Command

Every key.
Every litre.
Every kilometre.

Convert your fleet into a real-time data network. Authenticate drivers at the ignition. Meter fuel at the tank. Decode engine telematics at the CAN. Act on anomalies before they cost you.

AIS-140 certified
BS-IV / V / VI compatible
Edge + Cloud
Offline-tolerant
◉ LIVE ASSET
MH-14-KZ-8842 19.0760° N · 72.8777° E
18%
Fuel savings
92%
Theft reduction
2.4×
Trip throughput
<90d
Payback

This brief walks through the five pillars of the FleetOS platform, its expansion modules, and the two-mode Fuel Dispensing Management System. Each pillar is shown with its technical foundation, the data it produces, and the business event you can act on.

01
Access Control

Start–stop auth
with the driver's own key.

No key, no crank. The vehicle will not turn over until the driver's personal credential — an RFID card or ruggedised iButton — is presented to the in-cab module. Ignition is physically interlocked through a relay on the starter line.

Every cranking event now carries a signed driver identity. Fuel economy, harsh braking, violations, on-time departures — all bind to a person, not a number plate.

  • CredentialsRFID 13.56 MHz · iButton DS1990A · NFC
  • InterlockSPST auto relay · 30A starter line
  • Latency< 180ms tap-to-crank
  • Offline512-key local whitelist · auto-sync
  • FallbackDispatcher OTP · fully audited

Authentication & Interlock Flow

Fig 1.1
3D · DRIVER KEY
ID · R.SINGH 13.56 MHz · RFID
1
Tap key
Credential presented at reader
2
Verify
Signature + whitelist + time-of-day
3
Relay close
Starter line enabled
4
Crank + log
Event signed & uploaded
0ms 60ms 120ms 180ms READ 48ms VERIFY RELAY + CRANK LOG TAP → CRANK TIMING TOTAL 176ms
REQ-01 · Auth module Offline capable
Why it matters

Attribution changes behaviour.

When every trip is signed by who started it, driver performance stops being anecdotal. After 60 days of keyed attribution, the spread between best and worst driver fuel economy typically narrows by 22%.

02
Liquid Asset Monitoring

Fuel level & consumption,
sensed at the tank.

A capacitive fuel-level probe is installed directly in the tank, wired to the FleetOS module independent of the OEM gauge. Samples at 1 Hz, smoothed with a 15-sample moving median, reconciled against distance and engine-on time.

Three separate flows get their own event streams: legitimate consumption, refuelling, and pilferage.

  • SensorCapacitive rod · 0.5% FS
  • Range200mm–2000mm tank depth
  • Sampling1 Hz · median smoothing
  • Calibration20-point volumetric curve
  • Eventsfill · drain · siphon · theft-while-idle

Fuel Level · 24hr Trace with Events

Fig 2.1
3D · TANK VIEW
64% 115 L capacitive probe · 1 Hz
180L capacity 64% · 115L
100% 75% 50% 25% 0% + 80L FILL ⚠ DRAIN −45L engine off 06:00 10:00 14:00 18:00 22:00 actual expected
Asset MH-14-KZ-8842 Reconciled · 1 Hz

Driver-wise Fuel Economy · 30d

Fig 2.2
fleet avg 4.5 R. Singh5.5 M. Khan5.2 P. Rao4.9 S. Kumar4.4 J. Patel3.8 A. Das3.3 02.55.07.510 km/L
6 drivers · same route classΔ top-bottom 40%

Event Distribution · Monthly

Fig 2.3
1,284 EVENTS Consumption58% Refuel28% Siphon / drain9% Sensor anomaly5%
Fleet-wide · 42 trucksOct 2025
03
Telematics Ingest

BS-VI CAN. BS-IV/V sensor.
One unified data model.

FleetOS speaks the language of any vehicle. BS-VI trucks are read via J1939 / OBD-II CAN with full PGN decoding. BS-IV/V without rich CAN get an identical telemetry record via discrete sensors (inline fuel flow, magnetic pickup RPM, GPS speed, accelerometer harsh-event signature).

Upstream, the dashboard doesn't care which generation produced the data.

  • ProtocolJ1939 · UDS · OBD-II
  • PGNs65262, 65263, 65265, 61444…
  • Sample10 Hz CAN · 1 Hz GPS
  • Edge MLEvent detection, 120ms budget
  • UplinkMQTT over LTE Cat-M1

Live Telemetry · 60-minute window

Fig 3.1
SPEED (km/h) PEAK 92 limit 80 ENGINE RPM (×1000) AVG 1.8K FUEL RATE (L/hr) AVG 18.4 T−60T−45T−30T−15NOW
CAN stream · PGN 65266Live

Decoded Signals · Sample Frame

Tbl 3.1
PGNSignalValueUnit
65262Coolant temp87°C
65263Oil pressure412kPa
61444Engine RPM1,820rpm
65276Fuel level64%
65266Fuel rate18.4L/hr
64892AdBlue level58%
64777DPF soot load32%
65132Seat occupancyTRUEbool
J1939 · snapshotBS-VI

Driver Behaviour Score

Fig 3.2
78 / 100 GOOD Harsh braking 70 Harsh acceleration 85 Over-speeding 62 Idling ratio 90 Fuel economy 75
R. Singh · OctoberRank 4 / 42
04
Perimeter & Duty Control

Geofence. Route. Duty.
Theft response.

One spatial engine powers four disciplines. Polygon fences mark depots, customer sites and no-go zones. Proposed routes are plotted next to the actual trace — deviation is obvious. Driver–vehicle mapping is enforced through key-auth. Duty allocation encodes shift, break and max-drive policies.

When perimeter, route or duty is breached, the platform escalates through tiered alerts: SMSsirenengine immobilise.

  • FencesCircle · Polygon · Corridor · Multi-layer
  • RouteMap-matched Hausdorff · 25m bands
  • DutyShift · Break · HoS · Rest
  • ResponseNotify → Alarm → Immobilise

Planned vs Actual Route · Geofence

Fig 4.1
DEPOT CUSTOMER NO-GO ⚠ DEVIATION +18 km · 42 min ORIGIN 06:15 DEST 11:42 planned actual live stop KM 42 / 58 · 72% COMPLETE
MH-14-KZ-8842 · RT-019Match 76%

Driver Duty & Hours-of-Service

Fig 4.2
06:0010:0014:0018:0022:00 R. SINGH MH-14-KZ-8842 M. KHAN GJ-01-TR-1120 ⚠ OVERTIME P. RAO TN-09-LM-4408 Pre-trip Driving Break Violation
Shift 2025-10-12Auto-logged · key auth

Theft Response · Escalation

Fig 4.3
GEOFENCE BREACH moving without key T+0s SMS to owner push dispatch T+30s in-cab siren hazards flash T+120s immobilise (on stop) RECOVERY OUTCOMES (n=214) 94% recovered ≤ 3h <11min avg time-to-alert
Policy ESC-R2Configurable
05
Anomaly Intelligence

Alerts that connect
dots across sensors.

Raw telemetry is noisy. FleetOS correlates signals that individually look normal but together tell a story — fuel dropping while engine is off, truck moving with no ignition event, mileage this week 28% worse than last month on the same route.

Every alert carries a playbook: who is notified, over which channel, what evidence to inspect. Adaptive thresholding manages fatigue.

  • EngineHybrid rules + IsolationForest
  • ChannelsSMS · Email · Push · WhatsApp · Webhook
  • Dedup10-min rolling · severity weighted
  • Playbooks32 pre-built · tenant-customisable

Alert Signatures · Last 7 days

Fig 5.1
⚠ Fuel drop · engine off
MH-14-KZ-8842 · −42L in 14 min · parked 19°N 72°E
Critical
2h ago
⚠ Motion · no ignition event
GJ-01-TR-1120 · GPS 0.8km · no key auth · towed?
Critical
5h ago
Mileage drift · −22%
TN-09-LM-4408 · route RT-019 · 3.3 km/L (was 4.2)
Warn
yesterday
Harsh braking cluster
R. Singh · 8 events in 12 min · NH-48 km 42
Warn
yesterday
DPF regen overdue · 720 km
MH-14-KZ-8842 · soot 78% · schedule depot
Info
2d ago
Idling > 15min · 3 instances
P. Rao · depot wait · est. 2.1L wasted
Info
3d ago
6 of 48 shownFilter · Assign · Resolve

Alert Volume · 90-day trend

Fig 5.2
120 80 40 0 W1 W6 W12 Critical Warn Info
Critical ↓ 64% in 12wCoaching in effect

Top Playbooks by Resolution

Tbl 5.1
Fuel theft → depot verification
96%
96
Route deviation → call driver
91%
91
Mileage drift → maintenance
84%
84
DPF regen → schedule
88%
88
Overspeed cluster → coaching
78%
78
Idling → driver notification
72%
72
42 fleet benchmarkLast quarter
Expansion Modules

The rest of the platform,
on the same pane of glass.

The five pillars rarely deploy alone. Operations teams layer in modules for safety, maintenance, load integrity and compliance — all on the same asset model and permission framework.

Predictive Maintenance

Engine hours, vibration signature and fault codes rolled into RUL estimates — scheduled against the next depot visit.

AI Dashcam

Dual-lens with on-device inference for distraction, fatigue, phone use, tailgating. 4G stream + event-clip upload.

Tyre Pressure & Temp

TPMS per wheel, retrofittable. Under-inflation costs 3–5% fuel. Real-time alerts and retread scheduling.

Cold-chain Reefer

Cargo-bay temperature and humidity logs, door-open events with GPS. Evidence-grade for pharma and food SLAs.

SOS & Duress

Concealed button + voice-triggered distress. Silent alarm to control room with live GPS and optional cabin audio.

Trip Reports & POD

Auto-generated trip summaries, e-sign POD, and billable-km reconciliation with accounting systems.

EV Telematics

Battery SoC, SoH, pack temperature, charge sessions, regen efficiency. Mixed ICE/EV fleets unified.

Load & Axle Weight

Air-suspension pressure → payload estimate. Prevents overload fines, tracks empty return-trip running.

◆ FLAGSHIP ADD-ON
Fuel Dispensing Management

Every litre out of the bowser,
accounted for.

Where fuel enters the tank is where most of the leak happens. FDMS wraps any standard in-premise pump with authentication, metering, and per-vehicle policy — so every drop is attributed to a driver, a vehicle, and a reason.

What it does

FDMS sits between the pump's flow sensor and its dispensing valve. Nothing flows without an authenticated session. Every session produces a tamper-evident record: who, what vehicle, how many litres, at what flow rate, against what policy cap.

  • Flow meterPulse output · 100 pulses/litre
  • AuthRFID · iButton · App · PIN
  • ValveSolenoid, NC, fail-safe
  • CapsVehicle · driver · day · pump · time
  • OfflineQueue locally, sync on reconnect
  • AuditSigned, immutable ledger

FDMS Block Diagram

Fig A.1
TANK bulk DISPENSER FLOW METER pulse output SOLENOID VALVE closed · awaiting auth FDMS CONTROLLER auth · meter · cap policy enforcement signed logging NOZZLE → vehicle AUTH READER driver · attendant PIN · app QR CLOUD LEDGER signed txn policy sync fuel flow signal
Retrofit-compatibleATEX Zone 1
Mode A

Dual-key · Attendant + Driver

Both the pump attendant and the vehicle driver must present their keys to open a dispensing session. Two signatures on every litre. Ideal for high-throughput depots where audit rigour is paramount.

DRIVER ATTENDANT FDMS CLOUD 1 tap key 2 co-sign 3 valve open 4 ledger entry
dual-signature high-throughput audit-grade
Mode B

Unattended · Driver self-service

For captive depots with no pump operator — night shifts, remote sites, private bowsers. The driver uses their own key. Caps enforce the policy: N litres per vehicle per day, only 05:00–22:00, only at Pump-2. Camera snapshot anchors every session.

DRIVER FDMS CLOUD 1 tap key 2 check caps 3 valve · cam snap 4 ledger entry
self-serve cap-enforced zero-headcount

Policy Cap Matrix · Example

Tbl A.1
DimensionCapWindow
Per vehicle180 Lper day
Per driver240 Lper day
Per pump6,000 Lper shift
Per sessiontank volauto-detect
Time window05:00–22:00configurable
Flow rate50 L/min maxanti-spill
Priority evaluationFirst-fail rejects

Reconciliation · Dispensed vs Tank-in

Fig A.2
⚠ Δ −8L V-01V-02V-03V-04V-05V-06 200L150L100L50L Dispensed Tank gain
V-03 short-fill flaggedTolerance ±2%
System Architecture

From tank sensor to operations dashboard.

Platform Architecture · Isometric

Fig X.1
3D · ISOMETRIC
CONSUMERS ops · apps · ERP · BI PLATFORM Kafka · rules · ML · DB · APIs TRANSPORT MQTT · LTE · SMS · LoRa EDGE sensors · readers · GPS · CAN
EDGE
Key reader · Fuel probe · CAN · GPS · Dashcam · FDMS · TPMS
TRANSPORT
MQTT/LTE · SMS fallback · LoRa · Wi-Fi depot
PLATFORM
Kafka ingest · Rules + ML · Timescale · S3 · APIs · MCP
CONSUMERS
Ops web/mobile · Driver app · Alerts · ERP/TMS · BI/LLM
Drag to rotateScroll to zoom
Business Outcomes

What changes in the P&L.

Average observed improvements across 12 FleetOS reference deployments (42–380 vehicles each), 90 days post-deployment.

Line-item savings · % vs baseline

Fig R.1
Fuel cost per km
−18%
18
Unaccounted fuel loss
−84%
84
Idling time
−41%
41
Overtime payouts
−26%
26
Insurance premium
−11%
11
Unplanned breakdowns
−38%
38
Theft incidents
−92%
92
n = 12 fleets90d post-deploy

Payback curve · 80-vehicle fleet

Fig R.2
BREAKEVEN month 4 · day 112 +₹60L +₹30L 0 −₹30L M0 M3 M6 M9 M12 CapEx + install Net gain
80 vehicles · HW + SaaSBreak-even <120d
The platform thesis

Telemetry alone doesn't save money.
Attribution does.

Every competing product can show you where the truck is. The difference with FleetOS is that every signal — a litre dispensed, a kilometre driven, a braking event, a detour — terminates in an accountable human and a contractual outcome. That's why reference fleets recover their capital in under four months.

Deploy

Three models, one codebase.

Public-cloud SaaS · customer-VPC single-tenant · fully on-prem. Identical data model and dashboard across all three.

Integrate

Built for the ecosystem.

REST & GraphQL APIs, webhooks, MCP server for conversational analytics, connectors for SAP TM, Oracle TMS, Zoho, Tally, SAP B1.

Comply

Regulation-ready.

AIS-140 hardware. GDPR / DPDP data handling. ISO 27001 controls. Evidence-grade trails for pharma and explosives transport.

Get in touch

Ready to instrument your fleet?

Reach out for a pilot scoping call, hardware sample kit, or a reference customer introduction. Typical pilot runs 4 weeks across 10–20 vehicles with full commercial rollout options thereafter.

◉ Primary Contact
Jubin Patel
Founder · nxtbyte.io
Mobile
+91 96621 48892
Web
nxtbyte.io