Display Apparatus Viewer Detection via Multi-Device Signal Analysis
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Solution Overview
Problem
Current display technologies lack the ability to accurately determine the number of viewers and provide customized content in real-time, especially in environments with multiple devices, leading to inefficiencies in content delivery and user experience.
Innovation Solution
A display apparatus equipped with communication circuitry and a processor that establishes connections with devices within a viewable zone, receives connection information, and determines viewer presence based on signal strength and sensing data, allowing for customized screen adjustments and content recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the display apparatus uses traditional detection methods to identify viewers, then the system complexity is low, but the accuracy of viewer counting and identification is insufficient
Solution Approach 1:
The patent segments the detection process into multiple independent components: Bluetooth signal detection for device presence, Wi-Fi connection status for location verification, and sensor data analysis for viewer identification. Each component operates independently and contributes to the overall accuracy without requiring a completely complex unified system.
Solution Approach 2:
The display apparatus utilizes existing multi-functional devices (smartphones, tablets, wearables) that users already carry, which can perform detection, communication, and identification functions. This avoids adding dedicated complex detection hardware while achieving high identification accuracy through the multi-functionality of common devices.
2Measurement precision
If the display apparatus establishes communication with multiple devices to improve viewer identification, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary processing layer that manages communications between the display apparatus and multiple devices. This intermediary layer filters, prioritizes, and organizes communication signals from multiple Bluetooth and Wi-Fi devices, enabling accurate viewer counting without overwhelming system complexity.
Solution Approach 2:
The system establishes communication with multiple devices beyond the minimum needed, using excessive detection capabilities to ensure accurate viewer identification. By detecting more devices than strictly necessary and then filtering results, the system achieves high precision while managing complexity through selective validation.
3Reliability
If the display apparatus uses multiple detection methods (Bluetooth, Wi-Fi, sensors) to improve viewer identification, then the reliability improves, but the loss of energy increases
Solution Approach 1:
The patent implements periodic detection cycles where Bluetooth, Wi-Fi, and sensor measurements are performed at intervals rather than continuously. This periodic action maintains reliable viewer detection capability while significantly reducing energy consumption compared to continuous monitoring of all detection systems.
Solution Approach 2:
The system maintains continuous useful detection action by keeping detection algorithms running and data processing active, while allowing individual detection components (Bluetooth scanner, Wi-Fi monitor, sensors) to enter low-power states between measurement cycles. This ensures reliability through continuous processing capability while minimizing actual energy consumption during idle periods.
Data Source
AI summary
Provided is an artificial intelligence (AI) system for providing functions similar to the human brain, such as recognition, determination, etc., using a machine learning algorithm, e.g., deep learning, and an application thereof. A method includes establishing communication with a first device located in an available zone, the available zone being a range in which content is viewable; receiving a communication signal from a second device; receiving, from the first device, connection information of the first device and the second device connected to the first device; and identifying whether the second device is located in the available zone based on the communication signal received from the second device and the connection information of the first device and the second device.