Spatial Intelligence

Computer vision and on-device AI that help an experience understand what the camera sees—detecting objects, reading scenes, finding surfaces and keeping digital content anchored in place.

On-device computer vision object detection concept on a smartphone
Concept direction: camera analysis with object detection, segmentation and on-device inference.

What it makes possible

The right AR format should make an experience clearer, faster or more useful—not add technology for its own sake.

01

Object detection

02

Semantic segmentation

03

Visual positioning

04

Scene understanding

05

On-device mobile ML

06

AR context awareness

From camera input to spatial context

Real project media and focused experiments, shown without cropping.

Where it fits

01Navigation and indoor positioning

02Context-aware AR overlays

03Object-guided education and training

04Retail recognition and product assistance

05Hands-free interaction prototypes

06Privacy-conscious on-device analysis

Technology

Core MLTensorFlow LiteMediaPipeARKitARCoreVision APIsCustom model integration

Have an idea that belongs in the real world?

Share the problem, audience and target platform. I’ll help identify the most useful way to prototype it.

Start a conversation