Build intelligence into your fleet.

Connect dual-facing dashcam AI, vehicle telemetry, and event review with an India-based engineering pod built around your fleet operation.

Firmware and models. Telemetry backend. Alerting console.

Video meets vehicle data.

Define the events, signals, and review workflow your operators need.

Driver monitoring

Scope driver monitoring system (DMS) models for drowsiness, phone use, and seatbelt detection using approved driver-facing footage.

Road-facing assistance

Scope advanced driver assistance system (ADAS) events for following distance and forward collision using road-facing video.

Vehicle telemetry

Ingest CAN/OBD-II, IMU, and GPS signals and connect MQTT telemetry to the backend.

Incident review

Upload event clips and bring them into an alerting console for operator review.

An event has a path.

Agree the handoffs between the device, backend, and operator before building.

  1. Edge

    Approved dual-facing devices capture video and vehicle signals. Scope firmware and models for the agreed DMS and ADAS events.

    DMS / ADAS · CAN / OBD-II · IMU / GPS

  2. Cloud

    The backend ingests MQTT telemetry and event clips. Agree data handling and device connectivity assumptions before implementation.

    MQTT telemetry · event clip upload

  3. Alerts

    The console brings event context and clips to operators. Your team approves alert rules and owns the response workflow.

    Event context · clips · operator review

This is a proposed architecture, not a live product screenshot. Device selection, integration boundaries, and final hardware responsibilities are agreed for your deployment.

Agree what gets measured.

Set the evaluation conditions alongside the target, not after delivery.

All figures below are proposed contract targets subject to signed scope. They are not measured results, current performance claims, or guarantees.

Proposed fleet targets and measurement boundaries
MeasureProposed targetAgree in scope
Detection precision≥90%Agree event classes, labeled evaluation footage, and acceptance method.
Telemetry latency≤2 sAgree the measurement path and device connectivity conditions.
Incident clip upload≤45 sAgree clip size, trigger point, and upload connectivity assumptions.
Device uptime≥99.5%Agree the observation period, supported devices, and exclusions.

Start with clear ownership.

Devices, footage, and field access shape the scope as much as the software does.

Your fleet team

Supply or approve the devices, provide vehicle access, and supply approved labeled footage. Confirm permissions, operating conditions, and the operator response process.

The engineering pod

Scope the firmware and models, telemetry backend, and alerting console. Agree delivery boundaries and acceptance criteria before implementation.

The signed scope

Name the owner of hardware procurement, installation, maintenance, connectivity, and device support. These responsibilities are not blanket Foldtech hardware promises.

Before the fleet pod starts.

Do you supply the dashcams?

The customer supplies or approves the devices. Procurement, installation, maintenance, and hardware support responsibilities must be named in the signed scope; they are not blanket service promises.

What do we need to provide?

Approved devices, vehicle access, and labeled footage are the starting inputs. Your team also approves the event definitions, alert rules, data permissions, and operator response process.

Are the detection and latency figures guaranteed?

No. The figures on this page are proposed contract targets subject to signed scope. Evaluation data, connectivity assumptions, measurement methods, and exclusions must be agreed first.

Who acts on an alert?

Your fleet team owns operator actions and safety decisions. The scoped engineering work supports detection, telemetry, clip upload, and the review console; it does not promise accident prevention.

Scope your fleet pod.

Bring your device plan, event priorities, and operator workflow to the conversation.

Discuss your pod