AI Video Safety
Identify distraction, mobile-phone use, fatigue, missing seatbelts, and configured risky behaviours.
AQP Fleet™ One unifies drivers, vehicles, journeys, event video, and fleet operations in one interface. AQP FleetCam AI analyses risk at the edge, provides in-cab alerts, and delivers events with video, GPS, sensor, and vehicle context so organisations can respond faster.

Cameras, GPS, dispatch, maintenance, and reporting operate in separate systems
Risky driving is often discovered only after an incident
Investigations lack video, location, speed, and sensor data in one context
Driver coaching remains subjective and improvement is difficult to measure
Maintenance, vehicle checks, and compliance records depend on manual work
Fleet data is difficult to connect with ERP, TMS, WMS, and operations centres
Configure modules around your data maturity, user roles, and operational objectives.
Identify distraction, mobile-phone use, fatigue, missing seatbelts, and configured risky behaviours.
Warn drivers at the vehicle so they can correct behaviour before risk becomes a serious incident.
Track live GPS, journey history, geofences, dwell time, speed, and vehicle utilisation.
Combine pre/post-event video with driver, vehicle, location, speed, heading, and sensor data.
Measure risk trends, repeated behaviours, coaching activity, and improvement by driver or business unit.
Manage odometer, voltage, fuel, compatible DTCs, maintenance schedules, and repair requests.
Configure recording by event, schedule, or geofence alongside retention, access, audit, and redaction policies.
Use REST APIs, webhooks, MQTT, and connectors for ERP, TMS, WMS, HR, insurance, or data platforms.
A layered architecture supports phased integration, data control, and expansion without disrupting current systems.
Road- and cabin-facing cameras, GNSS, motion sensors, and vehicle data capture every journey.
→Analyse video on-device, alert drivers in the cabin, and transmit only relevant events to reduce bandwidth.
→Video, GPS, speed, sensors, and driver data become a verifiable event record.
→Unify maps, trips, drivers, vehicles, Safety Score, maintenance, privacy, and reporting.
→A Rules Engine distributes alerts, starts workflows, and synchronises enterprise data through APIs.
Monitor drivers, trips, deliveries, dwell time, and video events for freight and long-haul fleets.
Dispatch the nearest vehicle and track geofences, route performance, and delivery status.
Manage driver safety, journeys, cabin context, stops, and incidents requiring action.
Unify video, GPS, driver identity, and trip records for objective incident handling.
Monitor specialist vehicles, operating zones, risky behaviour, and maintenance schedules.
Manage utilities, telecoms, and technical fleets by location, asset, and assignment.
Surface risk early and build a safety culture with objective evidence
Accelerate investigations and claims while protecting drivers
Optimise journeys, dwell time, and vehicle utilisation
Plan maintenance proactively to reduce downtime and unplanned cost
Create one source of context for safety, operations, maintenance, and compliance
Adapt deployment to Vietnamese roads and transport operations
AQP FleetCam AI creates event data at the edge; the platform turns video and telematics into measurable safety, dispatch, maintenance, and integration workflows.
A dual-facing commercial-vehicle device with GNSS, nine-axis sensing, edge AI, in-cab alerts, and project-specific extension cameras.
Risk detection, event video, Driver Safety Score, coaching, improvement tracking, and safe-driver recognition.
Live GPS, trips, geofences, dispatch, driver and asset management, and vehicle-utilisation analytics.
Compatible vehicle data, scheduled maintenance, pre-trip checks, image-supported defects, and repair workflows.
Fleet One Connect provides APIs, webhooks, MQTT, SDKs, and connectors for ERP, TMS, WMS, or partner apps.
Cloud, private cloud, on-premise, or hybrid deployment with enterprise recording, retention, access, and audit policies.
AQP shapes configuration and commercial terms around scale, integrations, and service level instead of applying one price list to every organisation.
GPS, live maps, trips, drivers, sensor events, incident video, and core reporting.
Adds driver AI, in-cab alerts, Safety Score, event workflows, and coaching.
Adds dispatch, fuel, maintenance, vehicle checks, asset management, and operations dashboards.
Private cloud/on-premise, APIs, ERP/TMS, custom AI, multi-unit controls, SLA, and white-label.
AI/video assists drivers and fleet teams; it does not replace safe-driving responsibility or human judgement. ADAS, ECM data, livestream, extension cameras, maintenance, driver identification, and AI assistants depend on hardware and confirmed Available, Development, or Project Option status.
It can operate as a complete GPS/telematics platform or integrate existing GPS devices through APIs after assessment.
No. Edge AI can upload only event clips; continual, event-based, or combined recording is configured by policy.
Yes. AQP supports cloud, private cloud, on-premise, and hybrid deployment.
Integration can use REST APIs, webhooks, MQTT, or project-specific connectors.
Cars, lorries, coaches, specialist vehicles, and tracked assets can share one platform.
The organisation controls event, schedule, geofence, and retention policies to balance safety and privacy.
Yes. A 5–20 vehicle, 30–60 day PoC can validate AI, connectivity, workflows, integrations, and operating cost.
AQP Tech will help define data sources, KPIs, pilot scope, and the right deployment architecture.
Start a trial↗Share your data sources, workflow, and priority objectives. AQP Tech will help define a practical use case and AIIoT architecture.
Leave your details and our team will respond shortly.