Camera-Guided Sound Pickup Range for Open-Area Speech Capture
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Solution Overview
Problem
Conventional sound pickup devices struggle to effectively capture sound in open areas due to fixed beam angles, leading to poor sound pickup performance and reduced communication efficiency.
Innovation Solution
A sound pickup method and apparatus that utilizes a camera to detect individuals within its field of view, adjusting the sound pickup range based on the location and movement of detected persons, employing image processing and depth sensors to determine optimal sound pickup areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed beam sound pickup angle range is used, then sound pickup in a closed area is effective, but sound pickup in an open area is poor
Solution Approach 1:
The sound pickup angle range is changed from a fixed beam to a dynamic adjustable range. The system determines the sound pickup angle range based on the position of the target person detected by the camera, allowing the pickup pattern to adapt dynamically to different scenarios (closed areas, open areas, different distances), thereby resolving the contradiction between effective fixed-area pickup and adaptability to various environments
Solution Approach 2:
The sound pickup parameters (angle range, sensitivity) are changed dynamically based on detected conditions. When a person is detected at a certain position and distance, the system adjusts the sound pickup angle range and sensitivity parameters accordingly, transforming the rigid fixed-parameter system into a flexible parameter-adjustable system that performs well in both closed and open areas
2Area of stationary object
If the sound pickup range is expanded to cover more areas, then coverage is improved, but noise interference increases
Solution Approach 1:
Instead of uniform omnidirectional pickup, the system implements local quality by directing sound pickup attention to specific locations where people are detected. The sound pickup angle range is adjusted to focus on the target person's position, creating a localized pickup pattern that expands coverage when needed but maintains noise rejection by excluding areas without targets
Solution Approach 2:
The system uses camera feedback to detect person position and distance, then adjusts sound pickup parameters accordingly. This closed-loop feedback mechanism allows the system to expand pickup range only when a person is detected in a certain area, while automatically narrowing focus to reduce noise interference when no one is present or when the target is at a specific location
3Reliability
If the sound pickup range is dynamically adjusted based on person location, then sound pickup effectiveness is improved, but device complexity increases
Solution Approach 1:
The camera is given multi-functionality by using it not only for visual output but also for determining sound pickup parameters. The same camera that captures images is also used to detect person position and distance, which then controls the sound pickup angle range. This multi-functional use of existing components avoids adding complex dedicated sensors while achieving dynamic adaptation
Solution Approach 2:
The system merges the camera's detection function with the sound pickup control function. By combining the camera-based person detection with the sound pickup parameter adjustment in a unified control logic, the system achieves dynamic adaptation without requiring separate complex detection and control systems, thereby managing device complexity while improving effectiveness
Data Source
AI summary
A sound pickup method is implemented by a device having a camera and a microphone. The method includes determining a target person in an image captured by the camera; determining a target sound pickup range based on a location of the target person in the image; and performing sound pickup in the target sound pickup range using the microphone.