DeviceBoard – Fleet Management
DeviceBoard – Documentation
Fleet Management Implementation Using DeviceBoard
Powered by KANKANAL Vehicle Gateway & KANKANAL Dual Dashboard Camera
DeviceBoard provides a complete, cloud-native Fleet Management solution for real-time vehicle monitoring, safety analytics, route intelligence, predictive maintenance, and logistics optimization.
Integrated with KANKANAL Vehicle Gateway and the KANKANAL Dual Dashboard Camera, DeviceBoard unifies telematics, video events, AI detection, and fleet insights into a single operational platform.
1. Fleet Management System Architecture
A modern fleet powered by DeviceBoard includes:
✔ KANKANAL Vehicle Gateway
For CAN/OBD-II diagnostics, telematics, GPS, and driver behavior monitoring.
✔ KANKANAL Dual Dashboard Camera
For ADAS (front camera) + DMS (driver-facing camera) + event video uploads.
✔ DeviceBoard Cloud Platform
Centralized dashboards, analytics, AI insights, alarms, automation, reports.
This architecture provides real-time fleet intelligence without requiring any intermediate systems.
2. KANKANAL Vehicle Gateway Integration with DeviceBoard
The gateway directly sends live telemetry to DeviceBoard Cloud over:
- MQTT over TLS
- HTTPS/REST
- CoAP Secure (optional)
DeviceBoard automatically maps and processes each incoming data point using RulesFlow, dashboards, and analytics modules.
3. Supported Vehicle Gateway Telemetry in DeviceBoard
3.1 Location & Tracking Data
- GPS coordinates (lat/long)
- Speed, heading
- Ignition ON/OFF
- Trip start/stop timestamps
- Odometer
- Distance traveled
- Idle time monitoring
DeviceBoard updates the map in real-time with these parameters.
3.2 Vehicle Diagnostics (OBD-II / CAN Bus)
The following parameters can be captured:
- Engine RPM
- Battery voltage
- Coolant temperature
- Fuel level
- Fuel consumption rate
- Intake air temperature
- Engine load
- Throttle position
- DTC error codes (fault logs)
DeviceBoard uses this data to compute vehicle health and generate predictive maintenance insights.
3.3 Driver Behavior Telemetry
Detected events:
- Harsh acceleration
- Harsh braking
- Sudden cornering
- Over-speeding
- Prolonged idling
- Unsafe acceleration patterns
DeviceBoard logs each behavior event and calculates driver safety scores.
3.4 Additional Sensor Inputs
The gateway supports optional external sensors:
- Door open/close
- Cargo temperature (reefer truck integration)
- TPMS (Tire Pressure Monitoring System)
- Fuel tank level sensor
- Cargo load sensor
These enrich fleet visibility and compliance monitoring.
4. KANKANAL Dual Dashboard Camera Integration with DeviceBoard
The KANKANAL Dual Dashboard Camera includes:
✔ Forward-Facing ADAS Camera
Detecting road risks, collisions, lane departures, pedestrians, and speed violations.
✔ Driver-Facing DMS Camera
Detecting drowsiness, distraction, mobile phone use, smoking, and seatbelt violations.
DeviceBoard receives real-time alert events and short video clips / snapshots for each incident.
4.1 ADAS Event Types Supported
- Forward Collision Warning
- Lane Departure Warning
- Pedestrian Detection
- Vehicle Distance Warning (tailgating)
- Speed-limit violation alerts
- Unsafe proximity alerts
4.2 DMS Event Types Supported
- Driver drowsiness
- Phone usage
- Smoking detection
- Face occlusion
- Distracted driving
- Seatbelt not used
- Yawning detection
Each DMS event is logged in DeviceBoard with timestamp, GPS location, and video clip.
4.3 Video Management in DeviceBoard
DeviceBoard supports:
✔ Event-Based Video Upload
Only relevant incidents are uploaded to cloud.
✔ Snapshot Streaming
Periodic or request-based images.
✔ Video Evidence Archive
Linked to specific trips, drivers, and alarms.
✔ Video + Telematics Fusion
Every video event is paired with:
- Speed
- Location
- Driver ID
- Vehicle condition
- Telemetry snapshot
Enabling advanced incident investigation.
5. Real-Time Fleet Dashboards in DeviceBoard
DeviceBoard provides ready-to-use fleet dashboards.
5.1 Fleet Overview Dashboard
Displays:
- All vehicles on interactive map
- Vehicle movement and tracking trails
- ADAS/DMS alerts feed
- Fleet KPIs (total active vehicles, utilization, etc.)
- Fuel usage tiles
- Trip-level performance indicators
5.2 Individual Vehicle Dashboard
Shows:
- Engine diagnostics
- Fuel usage trends
- CAN bus data graphs
- Health score
- Trip summaries
- Alerts timeline
- Video events linked to telematics
5.3 Driver Performance Dashboard
Provides:
- Driver scorecard
- Trip-level driver behavior analytics
- Number of harsh events
- Safety events from DMS
- Route adherence performance
5.4 Fleet Safety Dashboard
Displays:
- ADAS alerts trend
- DMS events trend
- Fatigue risk zones
- Over-speeding heatmaps
5.5 Fleet Maintenance Dashboard
Tracks:
- DTC codes
- Predictive maintenance indicators
- Vehicle health scores
- Fuel consumption anomalies
- Maintenance due reminders
6. Live Tracking & Geographic Intelligence
DeviceBoard includes a powerful mapping engine.
6.1 Live Tracking
- Real-time vehicle movement
- Speed visualization
- Road-based tile layers
- Smart clustering for large fleets
6.2 Route History Playback
Playback includes:
- Speed variations
- Violations
- Harsh events
- ADAS/DMS events
- Video clips linked to timestamps
6.3 Geofencing
Create:
- School zones
- Customer locations
- Depots
- Restricted zones
- Service areas
RulesFlow can trigger:
IF vehicle enters restricted area THEN notify manager.
IF vehicle dwells > preset time THEN raise alert.
7. Fleet Automation Using RulesFlow
RulesFlow automates fleet actions using telemetry & event conditions.
7.1 Vehicle Health & Diagnostics
IF coolant_temp > threshold THEN raise high temperature alarm.
7.2 Fuel Theft Detection
IF fuel_level drops suddenly THEN trigger theft alert.
7.3 Driver Safety Monitoring
IF DMS detects drowsiness THEN notify fleet supervisor.
7.4 Route Compliance
IF vehicle deviates from predefined route THEN send alert.
7.5 Speeding Enforcement
IF speed > allowed_speed THEN raise speeding alarm.
7.6 Video Incident Workflow
IF ADAS collision alert THEN store video clip + notify safety team.
8. AI & Predictive Analytics for Fleet Management
DeviceBoard uses AI to compute:
8.1 Predictive Maintenance
Models detect:
- Engine overheating trends
- Battery degradation
- Tyre anomaly patterns
- Frequent DTC occurrences
- Unusual vibration
8.2 Driver Behavior AI Model
AI calculates:
- Driving safety score
- Fatigue probability
- Aggression score
- Risk behavior ranking
8.3 Fuel Consumption Anomaly Detection
Detects:
- Underinflated tires
- Fuel theft
- Injector malfunction
- Poor driving habits
8.4 Trip Efficiency Insights
AI estimates:
- Travel efficiency
- Optimal route suggestions
- Idling cost per trip
- Time-window optimization
8. AI & Predictive Analytics for Fleet Management
DeviceBoard uses AI to compute:
8.1 Predictive Maintenance
Models detect:
- Engine overheating trends
- Battery degradation
- Tyre anomaly patterns
- Frequent DTC occurrences
- Unusual vibration
8.2 Driver Behavior AI Model
AI calculates:
- Driving safety score
- Fatigue probability
- Aggression score
- Risk behavior ranking
8.3 Fuel Consumption Anomaly Detection
Detects:
- Underinflated tires
- Fuel theft
- Injector malfunction
- Poor driving habits
8.4 Trip Efficiency Insights
AI estimates:
- Travel efficiency
- Optimal route suggestions
- Idling cost per trip
- Time-window optimization
9. Maintenance and Service Workflows
DeviceBoard integrates with CMMS/EAM systems.
Automatically:
- Creates maintenance tickets when DTC codes rise
- Sends predictive maintenance recommendations
- Tracks service logs
- Generates vehicle health reports
10. Driver Management Features
DeviceBoard makes driver oversight effortless:
✔ Driver identification using RFID / driver-ID key
✔ Trips and behavior logs
✔ Safety incident review
✔ Video evidence for training
✔ Driver scoring and ranking
✔ Violation summaries per trip
Helps with training, compliance, and performance improvement.
11. Fleet Reports & Compliance Documentation
DeviceBoard automatically generates:
- Daily fleet summary
- Trip-based reports
- Driver behavior reports
- Speed violation reports
- ADAS/DMS safety reports
- Geo-violation reports
- Fuel usage reports
- Predictive maintenance reports
Formats supported:
- Excel
- CSV
Reports can be scheduled or generated via Natural Language queries:
“Generate a weekly safety report for all vehicles.”
12. Supported Fleet Use Cases
Tracking, fuel, behavior, video safety.
Door open alerts, route monitoring, AI safety camera.
Driver safety and passenger protection.
Route adherence, fleet efficiency analytics.
Video monitoring + telemetry fusion.
Reefer temperature + video + telematics.
Harsh usage detection + predictive maintenance.
13. Benefits of Using DeviceBoard for Fleet Management
| Benefit | Description |
|---|---|
| Improved Safety | ADAS + DMS + behavior analytics |
| Reduced Operational Costs | Fuel optimization + predictive maintenance |
| Better Fleet Visibility | Real-time GPS + diagnostics |
| Incident Intelligence | Video + telemetry evidence |
| Advanced Automation | Alerts, workflows, geofence logic |
| Driver Accountability | Driver scoring + behavior tracking |
| Scalable Cloud Platform | Supports small to enterprise-scale fleets |