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Deptrum

Deptrum offers a full-stack 3D vision solution that integrates depth cameras with AI algorithms to capture and analyze spatial data. This technology improves object recognition and depth perception, facilitating applications in robotics, automation, and augmented reality.

Founded 20181110+ followers
Updated 4 months ago

Funding

$28.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Many applications in robotics, automation, and augmented reality require accurate spatial data and object recognition, but existing 3D vision solutions often lack the necessary integration between depth cameras and AI algorithms for effective depth perception and analysis. This can lead to limitations in the performance and capabilities of these applications.

Solution

Deptrum provides a full-stack 3D vision solution that combines depth camera hardware with customized 3D vision algorithms to capture and analyze spatial data. Their core technology includes a nano-photonic chip for light field modulation, soft-core depth reconstruction algorithms for embedded CPUs, and modulated Time-of-Flight (mToF) solutions that improve measurement accuracy. By tightly integrating hardware and software, Deptrum enables 3D live body recognition, volume measurement, SLAM, image segmentation, and gesture recognition.

Target Audience

Deptrum's solutions target industries such as finance (for payment), robotics, smart cockpits, smartphones, and new retail, enabling technology upgrades and commercial value breakthroughs.

Features

  • Nano Photonic Chip (WFP) for light field modulation, breaking traditional optical limitations
  • Soft Core Depth Reconstruction Algorithm enabling depth calculation on embedded CPUs without DSP or ASIC
  • Modulated ToF (mToF) solution combining light field modulation, high-precision ToF algorithms, and multi-sensor technology
  • Structured ToF (sToF) technology using nano-photonic chips to simultaneously achieve structured light and ToF depth reconstruction with a single set of optical hardware
  • 3D sensing application algorithms for 3D live body recognition, volume measurement, SLAM, image segmentation, and gesture recognition
  • Stellar series of ToF depth cameras
  • Aurora series of structured light depth cameras
  • Nebula series of sToF depth cameras
  • HandPass dual-mode palmprint camera
This profile is AI-generated and may contain inaccuracies.