Snap inc. (20240288696). ENERGY-EFFICIENT ADAPTIVE 3D SENSING simplified abstract

ENERGY-EFFICIENT ADAPTIVE 3D SENSING

Organization Name

snap inc.

Inventor(s)

Jian Wang of West New York NJ (US)

Sizhuo Ma of Long Island City NY (US)

Brevin Tilmon of New York City NY (US)

Yicheng Wu of Belmont MA (US)

Gurunandan Krishnan Gorumkonda of Kirkland WA (US)

Ramzi Zahreddine of Denver CO (US)

Georgios Evangelidis of Vienna (AU)

ENERGY-EFFICIENT ADAPTIVE 3D SENSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240288696 titled 'ENERGY-EFFICIENT ADAPTIVE 3D SENSING

Simplified Explanation: The patent application describes an energy-efficient adaptive 3D sensing system that uses cameras and projectors to capture images of a real-world scene, compute depth estimates, and generate 3D sensing data.

Key Features and Innovation:

• Energy-efficient adaptive 3D sensing system
• Uses cameras and projectors to capture images and compute depth estimates
• Generates 3D sensing data for real-world scenes
• Computes an attention mask based on depth estimate confidence values
• Commands projectors to send laser beams into specific areas of the scene

Potential Applications: The technology can be used in various industries such as:

• Augmented reality
• Virtual reality
• Robotics
• Autonomous vehicles
• Medical imaging

Problems Solved: The technology addresses the following issues:

• Energy efficiency in 3D sensing systems
• Accurate depth estimation in real-world scenes
• Adaptive sensing based on confidence values

Benefits:

• Improved energy efficiency
• Accurate depth estimation
• Adaptive sensing capabilities
• Enhanced 3D data generation

Commercial Applications: Title: Energy-Efficient Adaptive 3D Sensing System for Various Industries This technology can be commercially applied in:

• AR/VR devices
• Robotics and automation
• Medical imaging equipment
• Automotive industry for autonomous vehicles

Prior Art: Readers can explore prior art related to this technology in the fields of:

• Computer vision
• 3D sensing systems
• Depth estimation algorithms

Frequently Updated Research: Researchers are constantly working on improving:

• Energy efficiency in 3D sensing systems
• Depth estimation accuracy
• Adaptive sensing algorithms

Questions about 3D Sensing Systems: 1. How does the adaptive 3D sensing system improve energy efficiency compared to traditional systems? 2. What are the key factors that influence the accuracy of depth estimation in real-world scenes?

Original Abstract Submitted

an energy-efficient adaptive 3d sensing system. the adaptive 3d sensing system includes one or more cameras and one or more projectors. the adaptive 3d sensing system captures images of a real-world scene using the one or more cameras and computes depth estimates and depth estimate confidence values for pixels of the images. the adaptive 3d sensing system computes an attention mask based on the one or more depth estimate confidence values and commands the one or more projectors to send a distributed laser beam into one or more areas of the real-world scene based on the attention mask. the adaptive 3d sensing system captures 3d sensing image data of the one or more areas of the real-world scene and generates 3d sensing data for the real-world scene based on the 3d sensing image data.