Room Conferencing System Heat Map Document Annotation
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Solution Overview
Problem
Conventional room conferencing systems fail to effectively track and analyze interactions between participants and documents, as well as among participants, which limits understanding of conference dynamics and efficiency.
Innovation Solution
A conferencing system utilizing local and cloud computing resources, along with sensors like RAID-C cameras, webcams, and microphones, to monitor and record whiteboard activity, detect gestures and facial expressions, and generate annotations on documents, creating a digital record of interactions and engagement levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional room conferencing systems display and discuss documents, then participants can view and interact with document content, but the interaction tracking capability is insufficient for meaningful analysis of conference dynamics
Solution Approach 1:
The patent introduces an intermediary system comprising cameras, sensors, and processing logic that mediates between the physical conference environment and the digital document display. This intermediary captures participant interactions (gestures, facial expressions, body orientation) and translates them into structured data annotations on the documents, enabling comprehensive interaction tracking without requiring direct modification of the document display system itself.
Solution Approach 2:
The patent replaces manual interaction tracking methods with automated optical and sensor-based detection systems. Instead of requiring participants to manually annotate or system operators to manually track interactions, the system uses computer vision algorithms and sensor arrays to automatically detect, capture, and analyze participant behaviors, substituting mechanical/manual processes with automated electronic detection and processing.
2Measurement precision
If the system tracks participant interactions and whiteboard activity, then conference dynamics can be analyzed, but the system complexity and processing requirements increase
Solution Approach 1:
The patent segments the interaction tracking function into multiple specialized sensor types (cameras for visual tracking, microphones for audio analysis, motion sensors for physical movement detection) and processes them through separate analysis modules. Each sensor type captures specific aspects of participant behavior, and the results are integrated to form a comprehensive interaction profile, allowing precise measurement without requiring a single overly complex system.
Solution Approach 2:
The patent employs multi-functional sensors and processing units that can detect multiple types of interactions simultaneously. For example, camera systems capture both facial expressions and body orientation, while the processing logic can analyze various interaction types (annotation activities, discussion patterns, engagement levels) using the same hardware infrastructure, reducing overall system complexity while maintaining measurement precision.
3Loss of information
If heat map annotations are generated on documents to show engagement levels, then conference efficiency can be analyzed, but data processing and annotation generation complexity increases
Solution Approach 1:
The patent performs preliminary processing of sensor data during the conference itself, continuously analyzing participant interactions and generating annotation data in real-time or near-real-time. By preparing and processing interaction data during the conference rather than requiring extensive post-conference analysis, the system enables efficient generation of heat map annotations that reflect actual engagement patterns without creating bottlenecks in the annotation generation process.
Data Source
AI summary
A method includes capturing a first image at a first time using a camera; processing the first image to identify a representation of an object in the first image; storing the first image as an event forming a navigable marker in a conference room tracking system; measuring one or more of a room sound and a room activity level at a time associated with capture of the first image; generating a heat marker representing a level of the room sound or the room activity level; and storing the heat marker in association with the event.