Gesture-Based Digital Signage for Personalized Mobile Commerce
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Solution Overview
Problem
Existing methods and systems for commerce and marketing using digital signage are ineffective.
Innovation Solution
A system and method for gesture-based cross channel commerce and marketing that utilizes a computing device operatively coupled to a digital signage device to analyze visitor characteristics, select advertisements based on demographic and behavioral information, and enable interaction through motion-based gestures to facilitate transactions on mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional digital signage is used for commerce and marketing, then the system is simple to operate, but it cannot provide personalized and interactive experiences for visitors
Solution Approach 1:
The patent introduces a computing device as an intermediary between the digital signage and the visitor. This computing device processes visitor characteristics, analyzes data, and determines advertisement attributes, thereby enabling personalization without requiring the digital signage itself to become complex. The intermediary handles the computational complexity while the signage remains simple to operate.
Solution Approach 2:
The patent replaces traditional mechanical or manual interaction methods with gesture recognition technology. Visitors can interact with the digital signage through gestures captured by sensors and cameras, eliminating the need for physical contact or complex interface operations. This substitution enables interactive and personalized experiences while maintaining ease of use.
2Ease of operation
If gesture recognition technology is implemented in digital signage, then visitor interaction is enhanced, but device complexity increases
Solution Approach 1:
The computing device serves multiple functions: it captures visitor characteristics, analyzes data, determines advertisement attributes, and facilitates transactions. By consolidating these diverse functions into a single multi-functional computing device, the system enhances visitor interaction through gesture recognition while managing overall device complexity through functional integration rather than proliferation of separate components.
3Productivity
If real-time bidding and automatic transactions are implemented, then marketing effectiveness is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing the computing device with capabilities for real-time bidding and automatic transaction processing. The computing device is configured in advance to handle these complex operations, allowing the digital signage system to leverage these pre-prepared functions for improved marketing effectiveness without requiring complex integration efforts at the time of implementation.
Data Source
AI summary
A computing device (e.g., a server) coupled to a digital signage device may receive characteristic information associated with a visitor of the digital signage device. The received characteristic information may be analyzed, and based on a result of the analysis, advertisement attributes may be determined. The computing device may select, based on the determined advertisement attributes, a particular advertisement from a plurality of advertisement bids. The computing device may cause display of the selected particular advertisement on the digital signage device for the visitor. The characteristic information may be generated by the digital signage device utilizing a video analytics. The computing device may receive particular gesture information associated with a mobile device of the visitor who responds to the displayed particular advertisement. The computing device may cause a cloud computing platform to push content associated with the particular advertisement into the mobile device for the visitor to place an order.