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Build ADAS the lean way

Ship faster with focused data annotation, a 150k key‑frame dataset, ready driver & roadside AI computer vision models, and a hardened DMS module. Deploy on edge or cloud, from POC to production.

No NDA needed for sample. Enterprise licensing available.

Driver Annotation

98‑pt WFLW, gaze, head pose

Roadside Perception

objects, lanes, signs

Pre‑trained Models

driver & roadside

Drowsiness/Distraction

production module

Edge targets: Jetson, x86, ARM; Cloud: AWS/Azure/GCP.

Solutions : From POC to Production

POC

Prove feasibility fast with our pre‑trained models and a sample of labeled data.

Prototype

Tighten the loop: add targeted annotation and evaluation harnesses.

Pilot

Deploy to a small fleet or internal users with support SLAs.

Production

Scale confidently with hardened modules and ongoing data refresh.

Solutions : A to Z

1) Data Annotation

Labels for drivers (landmarks, gaze, actions) and roadside (lanes, signs, vehicles, pedestrians).

  • Diverse day/IR scenarios

2) 150k Dataset

Curated frames for drowsy/distraction states and varied conditions.

  • Balanced classes with real scenarios

3) Pre‑trained Models

Baselines for driver & roadside tasks—fine‑tune quickly.

  • ONNX / TensorRT / OpenVINO

4) DMS Module

Heuristics + ML for drowsiness, distraction, and compound events.

  • Edge‑ready pipeline

Use cases

Build your Driver monitoring system

If you plan to Build your Own

Driver monitoring system In-house

Alert validation on cloud

For companies who have DMS device Deployed but

need to validate the data before showing on dashboard

Why teams choose LeanADAS

Lower total cost

One time licensing model making it insanely 5x cost effective compare to in house solution

Exceptionally Fast

We deliver the solution within 2 month period

Let’s talk about your roadmap

Tell us your current stage (POC, prototype, pilot, production) and what success looks like. We’ll suggest a path to measurable impact.

Or email connect@leanadas.com

Frequently asked

Can we deploy on our own edge devices?

Yes. We support ONNX/TensorRT and provide recommendations for Jetson and ARM boards. Cloud deployment via container images is also available.

Do you customize the models?

We fine‑tune on your data and environment, run error analysis, and deliver updated checkpoints with evaluation reports.

How is licensing structured?

We offer tiered licensing for research, commercial, and OEM/Tier‑1, with options for source escrow and SLAs.

Do you integrate with our stack?

Yes—SDKs for C++/Python and a gRPC microservice make integration straightforward for both on‑prem and cloud.