Conference Camera Object Detection and Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing conference system technologies often select and output images of individuals not intended by the user, and manual selection is required in some systems, leading to inefficiencies.
Innovation Solution
A processing method for a conference system that includes a controller with an operation element, a camera, and a processing controller, which automatically detects objects using image data and allows user selection through the operation element, performing image processing to ensure the selected object is centered and displayed at a predetermined ratio, reflecting the user's intention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic object detection is used to select and display the target object, then the operation efficiency is improved and manual selection is eliminated, but the detected object may not reflect the user's intention
Solution Approach 1:
The system displays multiple detected objects with selection indicators and receives user feedback through operation elements to determine which object the user intends to select. This feedback mechanism allows the system to adjust its selection based on actual user intention rather than relying solely on automatic detection algorithms.
Solution Approach 2:
The operation element serves as an intermediary between the automatic detection system and the final selection. It allows the user to intervene in the automatic selection process by selecting from among the detected objects, thus bridging the gap between automated efficiency and user intention accuracy.
2Measurement precision
If manual selection is implemented to ensure accurate user intention, then the accuracy of reflecting user intention is improved, but the operation complexity and time consumption increase
Solution Approach 1:
Instead of requiring full manual selection of the target object, the system performs partial manual action by allowing users to select from a limited set of pre-detected objects. This reduces the operational burden compared to complete manual search and selection while still ensuring accurate user intention.
Solution Approach 2:
The system automatically detects and presents candidate objects to the user, serving itself by providing the selection candidates. The user only needs to choose from the presented options rather than performing the entire search and selection process manually.
3Extent of automation
If the camera automatically tracks the detected object, then the system automation is improved, but the image may not be centered on the user's intended target
Solution Approach 1:
The system performs preliminary automatic detection of multiple objects and prepares selection candidates before user input. This preliminary action allows the subsequent user selection to be more accurate and intentional, improving the final image positioning precision.
Solution Approach 2:
The system dynamically adjusts between automatic tracking and user-controlled selection. It can switch between automatic mode (tracking detected objects) and manual mode (user-selected objects), allowing flexible adaptation to different operational needs while maintaining both automation benefits and positioning accuracy.
Data Source
AI summary
A processing method for a conference system is a processing method for a conference system including a controller including an operation element, a camera, and a processing controller. The camera obtains image data. The processing controller detects an object included in the image data, receives a selection operation to the detected object through the operation element of the controller, and performs image processing on the image data or control of the camera, with respect to the selected object.