Smart Webcam Depth Sensor Background Separation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional video-conferencing background replacement methods, such as chroma key compositing and software-based virtual background schemes, are unsuitable for individual use due to their complexity, cost, and inability to accurately distinguish between foreground and background, leading to undesirable results like object misplacement and increased computing power requirements.
Innovation Solution
An advanced camera device with integrated hardware and software capabilities that focuses on the subject while defocusing the background, allowing for real-time separation and encoding of video streams to differentiate between foreground and background, reducing bandwidth requirements and improving video quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If chroma key compositing is used for background replacement, then background removal capability is achieved, but professional lighting equipment and monochrome background screens are required, increasing cost and complexity
Solution Approach 1:
The patent replaces the mechanical/optical system of chroma key compositing (requiring green screens and professional lighting) with a computational imaging approach using depth sensors and focus differentiation. The system uses a depth sensor to capture distance information and the camera lens to create focus differences between foreground and background, eliminating the need for physical background screens and specialized lighting equipment.
Solution Approach 2:
The patent introduces depth information as an intermediary layer between the image sensor and background replacement processing. The depth sensor captures distance data that serves as a mediator to automatically separate foreground from background, replacing the need for chroma key color-based separation and its associated hardware requirements.
2Reliability
If software-based virtual background schemes are used, then background replacement is achieved, but post-transmission processing requires increased computing power and may cause latency
Solution Approach 1:
The patent performs background separation at the camera device before video transmission using depth sensor data and focus information. By preprocessing the video stream at the source with the depth sensor already capturing distance information, the system eliminates the need for computationally intensive post-transmission processing on user devices, reducing both energy consumption and latency.
Solution Approach 2:
The camera device performs background replacement processing itself using its integrated depth sensor and processing capabilities, rather than relying on external user devices to perform the computationally intensive tasks. This self-service approach at the source reduces the burden on user devices and minimizes transmission requirements.
3Extent of automation
If post-transmission video data processing is used to identify foreground objects, then object classification is achieved, but the software algorithm cannot determine distance and may misclassify objects like books or telephones as background
Solution Approach 1:
The patent segments the video processing into two distinct components: the image sensor capturing visual information and the depth sensor capturing distance information. This segmentation allows the system to use depth data to accurately determine which objects are in the foreground versus background, preventing misclassification of objects like books or telephones that might otherwise be incorrectly identified by software-only algorithms.
Solution Approach 2:
The depth sensor serves as an intermediary that provides accurate distance measurement information to the processing system. This intermediary depth data enables the system to correctly classify objects based on their actual spatial position rather than relying solely on software algorithms that cannot inherently determine distance, thereby improving measurement precision.
4Reliability
If conventional virtual background software is used, then background replacement is achieved, but compatibility issues with video-conferencing software and undesirable lag are introduced
Solution Approach 1:
The patent replaces software-based background replacement processing with a hardware-based solution using the camera device's depth sensor and integrated processing. By performing background separation at the camera level using depth information rather than through software algorithms on user devices, the system achieves better compatibility with various video-conferencing applications and eliminates the lag associated with post-processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution enables seamless background removal and replacement with reduced computing power, avoiding latency and bandwidth issues, providing a more natural and realistic video stream with improved image quality and compatibility with existing video-conferencing software.
Implementation Method 1
focusing a camera device on a subject located within a first region of a physical environment to define a first portion of a video stream; defocusing a second region of the physical environment to define a second portion of a video stream
Data Source
AI summary
Embodiments of the disclosure generally relate to video-conferencing systems, and more particularly, to advanced camera devices with integrated background differentiation capabilities, such as background removal, background replacement, and/or background blur capabilities, which are suitable for use in a video-conferencing application. Generally, the camera devices described herein use a combination of integrated hardware and software to differentiate between the desired portion of a video stream and the undesired portion of the video stream to-be-replaced. The background differentiation and/or background replacement methods disclosed herein are generally performed, using a camera device, before encoding the video stream for transmission of the video stream therefrom.