Direct TensorRT Detection
Real-time RT-DETRv2 & DeepStream 9.1
Zero-copy NVMM hardware decoding and dynamic batching (1–8 streams) with Ed25519-signed model bundles and strict numerical parity validation.
Computer Vision Platform · Sovereign Edge-to-Cloud AI
See what matters.
Act with clarity.
Transform existing IP cameras into qualified operational intelligence. Combine real-time native detection, multi-worker 5-item PPE verification, and fail-closed media privacy—processed right at your site.
Continuous local recording · Ed25519 signed models · Masked by defaultYour data. Your boundaries.Continuous local NVR recording & fail-closed privacy masking
5-item per-worker PPE engine.Helmet, vest, gloves, footwear & eyewear with independent timers
Site → Edge → Camera topology.Atomic cloud rollouts with verified edge receipts
Measured production qualification.Camera-specific accuracy, visibility & privacy approval gates
Engineered for real-world operationsPrecision at the edge.
Precision at the edge.
Governance in the cloud.
Every layer—from zero-copy GPU decoding to cryptographic model verification and per-person equipment matching—is built for deterministic enterprise reliability.
Anatomical Spatial Matching
Multi-worker 5-item PPE engine
Evaluates hard hat, high-visibility vest, gloves (2/2), safety footwear (2/2) and eyewear per tracked worker—with independent item timers and zero cross-person borrowing.
Hybrid Hazard Corroboration
Preliminary alerts + budgeted VLM
Immediate native fire and smoke observations never wait on a queue, while single-lane admission control (<= 70% occupancy) delivers structured VLM verification.
Sovereign Media Privacy
Fail-closed masking & 15-min grants
Ordinary snapshots, clips, live views and playback remain masked by default. Reviewing restricted originals requires an audited, session-bound 15-minute site grant.
Multi-Worker Spatial PPE EngineFive equipment items.
Five equipment items.
Evaluated per person, in one frame.
Ordinary detectors fire camera-wide alerts or confuse gear across overlapping people. Our native C++ engine tracks each worker independently, checks anatomical regions, requires paired detections for gloves and safety boots, and explicitly reports when an item is occluded or too small to judge.
- Present · Missing · Unknown · Not Applicable states per item
- Independent persistence timers per worker and per equipment item
- 1080p source-resolution crop path for fine PPE verification
Track #14 · CompliantHelmet ✓ · Vest ✓ · Gloves 2/2
Track #18 · 5/5 VerifiedHelmet ✓ · Vest ✓ · Boots 2/2 · Eyewear ✓
Different worlds. Shared possibilities.Intelligence that
Intelligence that
speaks your industry.
Every space has its own rhythm.
Discover insights built around yours.
Qualified for industrial environmentsBuilt for your operational worldExplore industrial architecture
Multi-worker PPE and hazard awareness on every shift.
Evaluate hard hats, high-visibility vests, gloves, safety footwear and eyewear per tracked worker, while monitoring restricted zones and early smoke or fire indicators.
- 5-item spatial PPE
- Restricted zones
- Preliminary fire & smoke
Evaluate helmet, vest, gloves, safety shoes and eyewear independently per tracked person.
Bring restricted-zone and preliminary fire or smoke observations to the right team.
Attach 3-second evidence clips and immutable model provenance to every incident.
From single-site deployments to national estates. Every model, camera angle and PPE item is explicitly qualified for your operating conditions.
More than a camera feedSee it. Understand it.
See it. Understand it.
Do something about it.
Connect the full picture, from a moment
on camera to a meaningful next step.
Stay aware.
Bring defined access, perimeter, PPE and hazard events into focus, with 3-second clips and bounding-box evidence your teams can review.
Find your flow.
Understand directional footfall, queue thresholds and zone occupancy patterns to help make everyday operations work better.
Move with purpose.
Give the right people a clear view of events. Filter by Site or Edge Device, verify findings and track resolution in one workspace.
Your sites. Your setup.Intelligence, where
Intelligence, where
you need it.
At the edge, with a shared cloud workspace.
The right fit starts with your operations.
Direct edge speed. Budgeted semantic verification.
Run real-time RT-DETRv2 detection and continuous NVR recording on site, paired with single-lane admission-controlled VLM verification and centralized cloud rollouts.
- Direct native detection (~2–4 ms TensorRT) + NvDCF tracking
- Per-track 1080p crop verification for fine PPE & hazard corroboration
- Atomic cloud-to-edge rollout manifests with edge receipts
NVIDIA Jetson AGX Orin 32 GB TargetDeepStream 9.1 · TensorRT 10.16 · 8-Camera Pilot Profile
Cryptographically verified pipeline
RTSP IP Cameras
Jetson Orin Edge ApplianceZero-copy NVMM + RT-DETRv2
Sovereign Cloud WorkspaceMasked by default · Audited 15-min grants
Processing, model trust and privacy boundaries enforced per camera
Processing, recording, retention and connectivity are specified for your site and applicable requirements.
Confidence, considered from the startYour vision.
Your vision.
Within your control.
A site-first approach to your video and AI processing, with cryptographic model signing, camera-specific qualification and role-based privacy controls built around your organisation.
Your deployment boundaries
Keep continuous video recording and primary inference on site while synchronizing only bounded event evidence to your workspace.
Cryptographic model trust
Every detector and redactor bundle is verified offline using Ed25519 signatures, SHA-256 artifact closure and pinned runtime tuples.
Privacy by design
Ordinary outputs use fail-closed masking. Accessing restricted original footage requires a session-bound, audited 15-minute grant.
Measured qualification
Nothing is promoted to production by default. Administrators review and approve precision, recall, visibility and redaction reports per camera.
A starting point for every ambitionStart where you are.
Start where you are.
Grow your perspective.
A single location or an entire organisation.
Let’s find the right shape for your solution.
Site Essentials
Turnkey edge intelligence and local recording for a single site up to 8 cameras on an NVIDIA Jetson Orin appliance.
Built around your needs- One location with Site -> Edge -> Camera topology
- Direct native detection & guided use-case setup
- Event inbox, 3s clips & camera view-health checks
- Fail-closed privacy masking & audited grants
Business Network
Consistent safety, PPE compliance and operational visibility across warehouses, branches and regional facilities.
Built around your needs- Central oversight across sites and edge appliances
- Multi-worker 5-item PPE & hybrid VLM verification
- Atomic multi-camera rollouts with edge receipts
- Model & camera qualification workflow
Enterprise & Government
An engineered deployment built around dedicated cloud or on-premises infrastructure, custom models and strict compliance.
Built around your needs- Dedicated sovereign cloud or air-gapped architecture
- Custom-trained RT-DETRv2 & specialist model signing
- Granular site-scoped RBAC & audit retention
- Tailored hardware sizing & SLA qualification
Annual plans are scoped following a requirements review and site assessment. Hardware, connectivity and storage are specified in your proposal.
A few things you might be wondering
A clearer answer.
Need to talk through your camera setup, PPE requirements or edge hardware?
Can we use our existing IP cameras?
Yes. Compatible RTSP H.264/H.265 cameras connect directly to your on-site edge appliance. Our built-in Edge RTSP Probe tests connectivity on the local LAN before you commit a camera, and our qualification workflow verifies whether each camera angle supports the specific use cases and PPE items you select.
How does the 5-item PPE detection work when multiple workers are in frame?
Our native C++ rule engine tracks each person independently and matches detected equipment (hard hat, high-visibility vest, safety gloves, safety shoes and protective eyewear) to that specific worker’s anatomical regions. Every item has its own persistence timer and explicit state (Present, Missing, or Unknown if occluded or too small), so one worker never suppresses or borrows another worker’s compliance state.
Where does video recording and AI processing take place?
Continuous recording and primary real-time detection (such as RT-DETRv2 on NVIDIA DeepStream) run locally on your site’s Edge AI appliance. Only lightweight event metadata, bounded evidence snapshots/clips and health telemetry synchronize to your cloud workspace.
How is bystander privacy protected?
Ordinary camera snapshots, live streams and playback are protected by fail-closed edge redaction (face and license-plate masking or full-frame opaque protection). Reviewing unmasked original footage requires an explicit, role-authorized 15-minute site grant or 5-minute resource grant with a mandatory audit reason.
How do you prevent AI hallucinations or false alarms on safety events?
Every model bundle is Ed25519-signed and must pass camera-specific accuracy and visibility evaluations before production promotion. For complex hazards like smoke, fire or fine PPE, you can combine instant native detection with budgeted Vision-Language Model (VLM) verification so operators see both the immediate detector observation and the structured corroboration.
Your next perspectiveLet’s bring your
Let’s bring your
vision to life.
From a single 8-camera Jetson Orin appliance to a nationwide multi-site network.
Start with a conversation about the safety and operational insights that matter to you.