Core Technology
Based on the foundation of proprietary technologies and a core “brain” built on a deep learning platform,
SenseTime has rapidly opened up AI application in multiple vertical scenarios.
Key Technology
  • 01Lightweight Cross-Platform AR/VR Engine
  • 02Lighting Estimation
  • 03Real-Time Dense 3D Reconstruction
  • 04Structure from Motion (SFM)
  • 05Simultaneous Localization and Mapping (SLAM)
  • 06Flat/3D Object Recognition and Tracking

01 / 06

Lightweight Cross-Platform AR/VR Engine

The lightweight cross-platform AR/VR engine supports multiple platforms, lighting and material models, virtual object sheltering and shadow projection to enable various expression-driven facial animations of avatars.

02 / 06

Lighting Estimation

The lighting estimation solution predicts the lighting condition of the scene for realistic rendering of the virtual objects.

03 / 06

Real-Time Dense 3D Reconstruction

Completing dense 3D reconstruction of natural scenes online, the solution supports real-time virtual 3D scene digitization, realistic rendering, shadow carving, and other integration effects on mobile devices, including sheltering and collision effects, perfectly realizing virtual reality.

04 / 06

Structure from Motion (SFM)

The structure from motion (SFM) system is capable of conducting camera motion recovery and 3D object reconstruction for a sequence of more than 100,000 images and videos, making it ideal for photo tourism and 3D roaming deployment.

05 / 06

Simultaneous Localization and Mapping (SLAM)

The self-developed, industry-leading visual inertial navigation SLAM system offers real-time 3D object pose estimation and real-time object tracking while simultaneously constructing a 3D geometric map of the scene online. SLAM supports real-time positioning and virtual object integration in real scenes on mobile platforms, achieving a perfect integration of virtuality and reality.

06 / 06

Flat/3D Object Recognition and Tracking

The advanced flat/3D object recognition and tracking system quickly identifies flat and 3D objects to provide stable real-time object tracking.

Technology
  • Lightweight Cross-Platform AR/VR Engine
  • Lighting Estimation
  • Real-Time Dense 3D Reconstruction
  • Structure from Motion (SFM)
  • Simultaneous Localization and Mapping (SLAM)
  • Flat/3D Object Recognition and Tracking

01 / 06

Lightweight Cross-Platform AR/VR Engine

The lightweight cross-platform AR/VR engine supports multiple platforms, lighting and material models, virtual object sheltering and shadow projection to enable various expression-driven facial animations of avatars.

02 / 06

Lighting Estimation

The lighting estimation solution predicts the lighting condition of the scene for realistic rendering of the virtual objects.

03 / 06

Real-Time Dense 3D Reconstruction

Completing dense 3D reconstruction of natural scenes online, the solution supports real-time virtual 3D scene digitization, realistic rendering, shadow carving, and other integration effects on mobile devices, including sheltering and collision effects, perfectly realizing virtual reality.

04 / 06

Structure from Motion (SFM)

The structure from motion (SFM) system is capable of conducting camera motion recovery and 3D object reconstruction for a sequence of more than 100,000 images and videos, making it ideal for photo tourism and 3D roaming deployment.

05 / 06

Simultaneous Localization and Mapping (SLAM)

The self-developed, industry-leading visual inertial navigation SLAM system offers real-time 3D object pose estimation and real-time object tracking while simultaneously constructing a 3D geometric map of the scene online. SLAM supports real-time positioning and virtual object integration in real scenes on mobile platforms, achieving a perfect integration of virtuality and reality.

06 / 06

Flat/3D Object Recognition and Tracking

The advanced flat/3D object recognition and tracking system quickly identifies flat and 3D objects to provide stable real-time object tracking.

Business
Partnership

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Business Partnership

Email: business@sensetime.com