Under the Hood

Inside the Eye.

SpaceCapture isn't just a wrapper for GPT-4. It is a proprietary stack of Edge Computer Vision models designed for the chaos of the physical world.

The "Edge-First" Architecture

Zero-Latency Offline Inference

We don't rely on the cloud processing loop. We deploy quantized YOLOv8-Nano and MobileNetV3 backbones directly to the edge. These models run on the device's NPU, delivering 30+ FPS inference without touching the internet.

Semantic Segmentation & Reports

We don't just segment pixels on the phone. This data is instantly fed into our Deep Insights engine, generating automated, detailed PDF reports that highlight every defect with heatmaps—ready for the client before you even leave the site.

Input Frame
On-Device Model

{ "defect": "crack", "severity": 0.89 }

JSON Output (15ms latency)

Model Performance Metrics

Benchmarked on standard iPad Pro (M4) and Samsung Galaxy Tab S9 hardware. We prioritize latency over raw parameter count.

18ms
Inference Latency
99.2%
mAP @ 0.50IoU
INT8
Quantization
7MB
Model Size

Start Inspecting Smarter
with SpaceCapture

Replace paper checklists and manual photo logs with AI-powered defect detection, automated reports, and real-time site visibility — from any device.

Available on iOS, Android, and Web

SPACE CAPTURE Assistant
Hello there 👋 I'm the SPACE CAPTURE Assistant. How can I help you today?