VedaSense supplies wearable, head-mounted camera hardware and turns the raw footage into clean, privacy-redacted, structured datasets — so your team can train physical AI and robotics models without building a capture operation from scratch.
No commitment — just a conversation about what you're training.
Internet-scraped video shows the world from outside. Models need first-person hands, tools, and intent.
Sourcing reliable wearable capture rigs at scale eats months before you've collected a single frame.
Unredacted video of real people's faces and surroundings is compliance risk, not a usable dataset.
Wearable rigs already tuned for first-person video and synced motion data — no sourcing required.
Capture through delivery is handled end to end — nothing to build or maintain in-house.
Compliance is handled at ingestion, before storage — so what you receive is ready to train on.
Lightweight, head-mounted rigs built for continuous first-person capture, with synced high-frequency IMU sensors tracking line-of-sight, velocity, and rotation out of the box.
A computer-vision layer blurs faces, license plates, and identifying background detail at ingestion, in line with India's DPDP Act — before footage ever reaches long-term storage.
Every stream is indexed and structured automatically, with model-assisted annotation for hand-object interaction, bounding boxes, and semantic scene layers — no raw-file management on your end.
Multi-pass structural checks catch tracking drift, missing labels, and spatial inconsistencies before a dataset ships — validation that scales far more reliably than manual review.
Head-mounted cameras and IMU sensors log multi-modal, first-person footage on-site. Encrypted streams are pushed directly to secure ingestion.
Faces and identifying text are detected and scrubbed automatically, with ambient lighting and scene context preserved.
Scenes are classified and object states tracked, mapping intent and manipulation paths directly into your dataset library.
Frames failing consistency checks are pruned automatically, producing a certified package ready to connect to your training clusters.
Head-mounted video is messy by nature — fast motion, blown-out highlights, objects passing in and out of frame. Our tracking models are tuned for exactly these conditions.
India's DPDP Act carries steep penalties for exposed identity data in training sets. VedaSense applies zero-retention redaction at the point of ingestion — so compliance is structural, not a checklist.
A small, scoped capture run so your team can validate footage quality, redaction accuracy, and schema fit before committing further.
Talk to us →Recurring, structured dataset drops matched to your training cadence — capture, redaction, and QA fully managed on our side.
Talk to us →License the wearable hardware for in-house capture, with your footage still routed through our redaction and structuring pipeline.
Talk to us →Delivered datasets belong to you under the terms of the engagement agreement — VedaSense retains no raw footage after redaction, so there's nothing held back on our side.
Redaction happens at ingestion, before long-term storage. We can walk you through the exact infrastructure and retention policy on a call, since specifics vary by engagement scope.
Every frame carries a redaction status flag, and we can provide audit logs on request so your compliance team can verify coverage rather than take it on faith.
It depends on unit volume and current capacity — tell us your timeline in the form below and we'll give you a straight answer rather than a generic estimate.
Pilots are intentionally kept small so you can evaluate fit before scaling up. Ongoing data-as-a-service engagements are scoped case by case.
No forms, no fluff — just a real conversation about what you're training and whether we're a fit.
Book a call →We agree on a small, scoped capture run so you can validate footage quality and schema fit firsthand.
Talk pilots →Capture, redaction, structuring, and QA — delivered on your training cadence, managed end to end.
Get started →Tell us what you're training and we'll send over a sample dataset, the full telemetry schema, and walk you through the hardware and pipeline.
Prefer email? Reach us directly at contactus@vedasensetechnologies.com