Edge Cameras · 320×240 iToF · VL-SV-2508
Spatial Vision
A compact 320 × 240 ToF depth camera for human-scale interaction — people tracking, gesture recognition, AR occlusion, and retail analytics with full privacy (depth only, no RGB required).
$59 / unit
- QVGA depth at 10–30 fps for smooth tracking
- 71.8° × 56.6° field of view covers a full doorway
- Privacy-first: works with depth data alone
- USB / MIPI-CSI2 for SBCs and SoCs
- Runs people-tracking and gesture models on-device
Ships worldwide · 2-year warranty · Free community SDK tier included
Specifications
Technical specs
| Technology | Indirect ToF (iToF) |
|---|---|
| Resolution | 320 × 240 |
| Range | 0.2 – 2 m |
| Field of View | 71.8° (H) × 56.6° (V) |
| Frame Rate | 10 – 30 fps |
| Interface | USB 2.0 / MIPI-CSI2 |
| Illumination | 940 nm VCSEL, Class 1 |
| Depth Accuracy | ±1% typical |
| Power | < 2.5 W active |
| Temperature | 0 °C to 60 °C |
Code
People analytics in six lines
from spatialai import Camera cam = Camera("spatial-vision") cam.load_model("people-tracking-v3") for frame in cam.stream(): print(frame.people, frame.dwell_time)
Works with the free SpatialAI community tier. See the full quickstart →
Applications
Built for
Retail Analytics
Footfall, dwell time, and queue length — without storing faces.
AR / VR
Real-time depth for hand tracking and occlusion-aware rendering.
Gesture Interfaces
Full-hand skeletal gestures for displays and vending.
Smart Buildings
Accurate occupancy counting for HVAC and space planning.