3D Behavioral Map

Grazper delivers a complete embedded solution for real-time, wide-area, 3D analytics using deep learning. The system is video based, centers around edge computing and allows automated, highly-detailed person and object tracking.

Features

  • Multiple cameras are combined on site with embedded hardware to obtain an advanced real-time model of the surroundings
  • Highly-accurate people and object identification and 6 Degrees of Freedom tracking in a unified 3D world model
  • Privacy-by-design, GDPR-compliant, anonymous tracking and re-identification
  • Embedded; inference on the edge with plug-and-play setup
  • IoT-ready; low bandwidth, latency & power
  • Interoperability; interfaces with existing systems and business logic through an easy API

Technologies

At the core of our technology sits a full-stack, deep learning-based AI engine for embedded systems.

  • Efficient, unsupervised learning for adaptive feature and object matching
  • Minimal networks through binarization and weight compression
  • Video annotation tool suite with semi-supervised learning

High-speed inference on multiple embedded platforms: CPU, GPU, FPGA.

EDGE AI
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NETWORK AI
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FPGA IP CORE
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