Products

Hardware for every scale of physical AI

Depth sensors, egocentric capture rigs and edge compute — one platform. Every VisionLibra device runs the same SpatialAI SDK, deploys the same models, and reports to the same fleet dashboard.

Spatial Mini
1D ToF Sensor · VL-SM-0301

Spatial Mini

A 4.4 × 2.4 mm distance sensor with 5 m range — presence and gesture intelligence for any product.

Smart LockPresenceGestureIoT
$9 / unit Details
Spatial Home
All-in-One 3D ToF · VL-SH-5030

Spatial Home

An all-in-one 3D ToF solution — up to 100 × 100 depth with on-module processing, made for IoT and smart home.

Smart HomeIoTPresenceFall Detection
$39 / unit Details
Spatial Vision
320×240 ToF Camera · VL-SV-2508

Spatial Vision

A compact 3D depth camera that sees people, hands, and spaces — built for interaction at human scale.

People TrackingGestureARRetail
$59 / unit Details
Spatial Robot
SPAD dToF LiDAR · VL-SR-2M01

Spatial Robot

Miniature 8 m SPAD LiDAR array for machines that move — sunlight-tolerant depth for AMRs and drones.

AMRDroneSLAMObstacle Avoidance
$99 / unit Details
Compare

Which sensor fits your build?

Spatial MiniSpatial HomeSpatial VisionSpatial Robot
Technology1D ToFAll-in-one 3D ToFiToF depth cameraSPAD dToF array
ResolutionSingle zoneUp to 100 × 100320 × 24040 × 30
Range0.02 – 5 m0.2 – 2.5 m0.2 – 2 m0.2 – 8 m
Field of View25°60° × 60°71.8° × 56.6°60° × 45°
Frame RateUp to 50 HzUp to 20 fps10 – 30 fps10 fps
OutdoorIndoorIndoorIndoorSunlight-tolerant
Best forLocks, IoT, presenceSmart home, IoT hubsRetail, AR, gestureAMR, drones, SLAM
Price$9$39$59$99
Data Capture

Wego — egocentric rigs for physical-AI datasets

Robots learn from demonstration, and demonstration has to be recorded first. The Wego rigs capture first-person video with a hardware-timestamped IMU riding on every frame — the format imitation-learning pipelines actually consume.

Wego2
In stock · 5 units
Egocentric Capture · Binocular · VL-WG2-01

Wego2

Two global-shutter cameras and a hardware-timestamped IMU in a cap-brim module — cheap enough to run a dozen at once.

Global ShutterHardware IMU SyncHot-Swap BatteryWi-Fi 6
$900 / unit Details
Wego4
In stock · 5 units
Egocentric Capture · 270° Quad · VL-WG4-01

Wego4

Four synchronised cameras covering 270°, with 3 TOPS on board to catch bad takes while you are still recording.

270° Surround4 × Global Shutter3 TOPS On-Device QCHardware IMU Sync
$1,500 / unit Details
Wego2Wego4
Cameras2 × global shutter4 × global shutter
Resolution1920 × 1200 each1920 × 1200 each
Coverage155° (V) × 109° (H)270° (H) × 155° (V) surround
On-Device Compute0.5 TOPS (RV1103B)3 TOPS (RV1126B)
CPUCortex-A7 + RISC-VQuad-core Cortex-A53
IMUICM-42688 6-axis, 200 / 500 HzICM-42688 6-axis, 200 / 500 Hz
Battery5600 mAh hot-swap + 500 mAh UPS5600 mAh hot-swap + 500 mAh UPS
WirelessWi-Fi 6 + BLE 5.4Wi-Fi 6 + BLE 5.4
Form FactorGlasses / cap-brim moduleHead-worn or mobile platform
Best forVolume collection at low cost per unitWide work zones, on-rig quality control
Price$900$1,500
Edge Compute

RobooPi P53 — four automotive cameras, one CUDA box

Where Spatial Hub aggregates a building's cameras, RobooPi rides on the machine. NVIDIA Orin Nano, four GMSL2 / FPD-Link inputs on coax, and hardware frame sync — for vehicles, AMRs and anything that moves.

RobooPi P53
In stock · 5 units
Edge AI Computer · Orin Nano · VL-RP53-01

RobooPi P53

NVIDIA Orin Nano 8 GB with four Fakra GMSL2 camera inputs and hardware frame sync — built to ride on the machine.

NVIDIA Orin Nano 8G40 TOPS4 × GMSL2 FakraHardware Frame Sync
$2,900 / unit Details

40 TOPS, familiar stack

Orin Nano 8 GB on Ubuntu 20.04 — CUDA, TensorRT and the Jetson ecosystem your models already target.

🔗

One coax per camera

Fakra GMSL2 carries video, I²C control and 12 V PoC together. Optional FPD-Link deserialisers for existing camera stock.

Frames that line up

Hardware sync across devices and a single-channel lock output — multi-camera capture with timing you can trust.

💾

Records as fast as it sees

128 GB on board, dual M.2 NVMe, and 2 channels of 1.2 GB/s local recording with an SSD fitted.

Roadmap

The platform outlives any single sensor

The VisionLibra stack is sensor-agnostic by design. As the lineup grows, your code doesn't change.

ToF today LiDAR mmWave Radar Thermal RGB IMU
Edge Compute

Spatial Hub — the brain of the fleet

Cameras sense. The Hub decides. Available now — runs the SpatialAI SDK and shipping models out of the box; NPU-accelerated marketplace models arrive via OTA.

Spatial Hub edge AI box
New
Edge AI Box · VL-HUB-01

Spatial Hub

The compute node for your camera fleet. One fanless box ingests up to 32 camera streams and runs the SpatialAI runtime, models, and agents on-site — alerts, logs, and reports without a single frame leaving the building.

32-Stream IngestOn-Site Agents Dual GbEFanlessNo Cloud Required
$599 / unit Details
📷

Every camera, one box

Ingests and decodes up to 32 concurrent streams — a full warehouse zone on a single Hub.

🧠

Models run on-site

The SpatialAI runtime executes marketplace models locally — deterministic latency, no cloud inference bill.

🤖

Agents act locally

Slack alerts, database records, and incident reports fire even when the uplink is down.

🔐

Privacy stays physical

Depth frames are processed and discarded on the box. Only events leave the building.