Orbsurv moves a single 4K camera along a rail to cover what normally takes 4+ fixed cameras. On-device AI filters noise, tracks motion, and alerts only when it matters.
Traditional surveillance systems force you to pay for 4+ static cameras to cover a single long perimeter or open space. The hardware cost is high, the wiring is complex, and the AI context is fragmented.
Traditional: 4 Cameras | 4 Cables | 4 Fail points
Orbsurv: 1 Unit | 1 Cable | Zero Blind Spots
See Orbsurv's adaptive surveillance in action. This simulation shows how the rail-mounted camera system continuously monitors a space and replaces a bank of fixed cameras with a single moving intelligence stream.
Click anywhere on the rail stage to trigger a manual detection. Use the scenario buttons to see automated patrol behaviors.
Tip: enable AI Mode, then run Quiet Night followed by Package Drop to see detection, tracking, and summary in one pass.
This top-down visualization shows how a single Orbsurv camera on a rail achieves the coverage of multiple fixed cameras, revealing how hardware cost and blind spots scale with rail length.
Adjust the sliders to see how rail length and camera settings affect overall coverage area. The dashed outline shows the total sweep zone.
Orbsurv is a compact, modular platform built for homes and small businesses. A single rail-mounted unit replaces multiple fixed cameras to eliminate visibility gaps.
Current Status: Digital prototype complete. Physical build is ~25% complete with lightweight alloys. Targeting a fully working prototype within 6 months.
Fixed cameras create visibility gaps, and reactive systems miss incidents or force costly redundancy.
A motorized rail camera that scans, tracks motion and heat, and adapts its view over time.
Digital prototype complete, physical build ~25%, and a 6-month path to a fully working prototype.
Orbsurv started as a lab build to test a simple idea: move the camera, not the blind spots. We proved the motion-and-vision loop, and now we're refining it into a deployable perimeter system.
Ring and Nest are static. They force you to pay a "Blind Spot Tax" — purchasing multiple fixed cameras to cover what one agile unit can scan. Orbsurv sweeps your entire wall or perimeter, replacing 3–6 cameras with a single intelligence stream.
Not yet. Orbsurv is currently at 25% prototype completion — digital systems are done, the physical rail and carriage are under active development. Target is a fully working prototype within 6 months. Join the early access list above to be notified at launch.
Pricing is not finalized yet. One Orbsurv unit is designed to replace 3–6 fixed cameras, so the value case will be straightforward. Join the early access list to be notified when pricing is announced.
All intelligence runs on the device. No video is streamed to the cloud. Orbsurv uses anonymized attribute strings — not raw facial video — for its tracking and learning systems. Privacy by design, not by policy.
The current prototype targets indoor/outdoor capable enclosures with weatherproofing. Outdoor variants are on the roadmap. The Prototype page has full enclosure and IP rating specs.
Designed for modular self-install — the rail mounts to a wall or ceiling track, the carriage clips on, and the unit pairs to your local network. No professional installation required for the standard indoor model.
Yes. Orbsurv is actively seeking a pre-seed raise to fund prototype completion, first pilot deployments, and initial team hires. Reach out directly at contact@orbsurv.com.
Orbsurv is targeting its first working prototype in 6 months. Join the beta list to get development updates and a chance to test a unit on your property before public launch.
First 100 applicants · Priority access · Priority support
Full brief, specs, market, and business model for the adaptive rail system.
The brief includes roadmap, prototype milestones, early field results, and go-to-market overview.
| Feature | Ring / Nest | PTZ Systems | Orbsurv |
|---|---|---|---|
| Coverage | Fixed angle only | Single-point pan | Full panoramic sweep |
| Blind Spots | Yes — significant | Gaps between positions | Zero — continuous rail |
| AI Intelligence | Cloud-based (latency) | Minimal or cloud | On-device, adaptive |
| Privacy | Cloud-dependent | Varies | Edge-only, no cloud streams |
| Hardware Cost | $100–$250 each | $500–$2,000+ | TBA |
| Units Needed | 3–6 for full coverage | 2–4 | 1 replaces all of them |
| Learning / Patrol | None | None | Reinforcement-based patrol |
| Installation | Fixed mount | Professional required | Modular rail, self-install |
Hardware, software, and intelligence layers that power the Orbsurv rail camera system.
Modular rail segments support a low-noise carriage and panoramic camera module. The prototype focuses on mechanical stability, sweep consistency, and clean cable routing while keeping the enclosure compact.
Build status: Functional Alpha (Ender-based) operational with UHD webcam. Industrial design V1 completed with 3D-printed physical mockups and digital visualizations.
// Prototype specs listed here are for development only.Capture rail camera frames, run detection and tracking, and queue live targets.
Classify objects, extract attributes, and infer intent cues from the stream.
Cluster events into the timeline, assemble evidence, and publish case files.
Every stage publishes structured signals here. The bus normalizes events, applies policy, and writes to the persistent timeline so the system can explain decisions and evolve.
Operator feedback, outcomes, and zone overrides update the reinforcement model so priorities, routes, and confidence scores improve with every patrol.
Orbsurv doesn't just record video; it maps physical space. The engine tracks objects in a 3D coordinate system, allowing it to distinguish between environmental noise and actual targets. This spatial awareness is the foundation of our coverage model.
By analyzing motion vectors and thermal signatures, the system identifies the behavioral patterns of observed entities. It distinguishes between typical activity and potential security events, focusing resources where they matter most while ignoring benign movement.
Short-term detections are synthesized into long-term history. The engine identifies patterns over days and weeks, automatically optimizing patrol schedules based on historical activity and user-defined priority zones.
Intelligence happens at the edge. Facial recognition is never piped to the cloud; instead, the system uses anonymized 'attribute strings' to track entities, ensuring security without sacrificing civil liberties.
Beyond core hardware capability, Orbsurv is defined by its industrial ergonomics. Our design language bridges the gap between high-precision robotics and architectural integration, ensuring the system is as serviceable as it is stealthy.
Bambu-grade linear carriage with carbon fiber rods and service-friendly access.
Operator-first UI with rail modes, scenario triggers, and real-time telemetry.
Modular aesthetics from matte black to stealth white for seamless integration.
Orbsurv ("we", "us") operates orbsurv.com, a product information site for an adaptive panoramic rail camera system. Contact: contact@orbsurv.com.
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