The Metrolla DataBlade processes 3D perception on-site, so your site reacts instantly — without cloud bills, privacy risks, or months of integration. People counted. Vehicles tracked. Gates opened. Alerts fired. All in under 80 ms.

Cloud pipelines turn sensor data into reports. Edge perception turns it into action.
Under 80 ms from LiDAR frame to event. Open gates, trigger alerts, or reroute traffic while it is still happening.
No cameras, no faces, no PII. Only anonymous 3D objects leave the device, so you can deploy where video cannot go.
Perception runs on the blade. Stop paying to stream point clouds to a datacenter just to get a person count back.
Blades mesh so the same person or vehicle keeps one ID across sensors. Accurate journeys, no double counting.
Live decisions instead of dashboards. Coverage instead of cameras. Outcomes your ops team can actually use.
Fast enough to trigger alerts, open gates, or reroute traffic while it's still happening — not minutes later in a report.
Perception runs on the blade itself. You stop paying to stream point clouds to a datacenter just to get a person count back.
Only anonymous 3D objects leave the device — no faces, no video. Get coverage in privacy-sensitive spaces without a legal review cycle.
Blades mesh so a person or vehicle keeps the same ID across sensors. You get accurate journeys and zone counts instead of double-counted blobs.
Weather-rated for pole, ceiling, or trailer mounts. Survives the seasons so your team isn't babysitting hardware.
Structured events over REST, MQTT, or webhooks — drop them into your VMS, BI tool, or control system without a custom integration project.
The questions we get most from teams sizing an edge perception deployment.
A ruggedized edge compute unit that runs Metrolla's 3D LiDAR perception software on-site. Point any Hesai sensor at it and you get real-time detection, classification, and multi-object tracking with persistent IDs — streamed out as structured events, not raw point clouds.
The DataBlade ships pre-tuned for Hesai sensors, handles calibration, and runs perception locally. No GPU server rack, no cloud pipeline, no ML team required. Deploy it on a pole, ceiling, or trailer and it starts producing tracked-object events immediately.
End-to-end latency is under 80 ms from LiDAR frame to tracked event on the wire. Each DataBlade handles one sensor's full frame rate; multi-sensor sites scale by adding blades that mesh together.
DataBlades form a self-organizing mesh so objects keep the same ID as they move between sensor coverage zones. That means accurate zone counts, hand-offs, and journey analytics across a site without stitching feeds together downstream.
Structured events stream over REST, MQTT, or webhooks. You choose whether to send counts, zone events, or full tracked-object streams into your dashboard, VMS, BI stack, or control system.
No. Perception runs on-device and only anonymous 3D objects and events leave the unit. No faces, no video frames, no re-identifiable data — which makes DataBlade deployable in privacy-sensitive environments.
Every Hesai sensor Metrolla distributes is supported — JT, XT, QT, AT, Pandar, FT, OT, and ETX series. We help you match sensor coverage and DataBlade count to the site during the quote.
Request a quote with your site layout and target use case (people counting, vehicle tracking, perimeter, etc.). We spec sensor placement plus the number of DataBlades needed, and can arrange a pilot deployment before you commit to a full rollout.
Get a DataBlade + Hesai sensor bundle spec'd for your site. One quote covers hardware, perception software, and integration support.