Sensor Aggregation for Venue Authentication Speed
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Solution Overview
Problem
Face authentication systems often experience delays when processing large numbers of individuals entering or exiting venues, leading to congestion and dissatisfaction due to slow authentication processing.
Innovation Solution
An information processing system that includes a first detection device and multiple secondary detection devices, which select and aggregate information from the most suitable secondary devices based on the state of authentication targets, enabling rapid authentication by optimizing the use of detection devices and reducing processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple detection devices are used to process authentication targets, then authentication speed is improved, but device complexity increases
Solution Approach 1:
The monitoring area is divided into multiple sub-areas, with each detection device responsible for a specific sub-area. The selection unit segments the authentication processing by identifying which sub-area contains the authentication target and selecting only the corresponding detection device(s), thereby processing multiple targets simultaneously without requiring all devices to operate at once.
Solution Approach 2:
The system dynamically selects detection devices based on the real-time position and state of authentication targets. The selection unit determines which detection devices are appropriate for processing each target based on factors such as target position, detection accuracy, and current device status, allowing the system to adapt its configuration to match the actual processing needs.
2Measurement precision
If all detection devices process all authentication targets, then measurement precision is improved, but loss of time increases
Solution Approach 1:
Different detection devices have different detection characteristics and are suited for different types of targets or positions. The selection unit matches the appropriate detection device to each authentication target based on local requirements, such as selecting devices with higher detection accuracy for difficult-to-detect targets while using other devices for easier cases, thereby optimizing overall processing efficiency.
Solution Approach 2:
The system uses only the necessary subset of detection devices for each authentication target rather than all devices. The selection unit determines the minimum required detection resources based on target characteristics, using partial action to reduce processing time while maintaining sufficient detection accuracy through selective device assignment.
3Device complexity
If a single detection device is used, then device complexity is reduced, but productivity decreases
Solution Approach 1:
Each detection device is designed to be multi-functional, capable of detecting multiple types of authentication targets (persons, vehicles, objects) and operating in different modes. The selection unit assigns different tasks to the same set of devices based on real-time needs, allowing a smaller number of universal devices to achieve high throughput without requiring specialized devices for each target type.
Data Source
AI summary
An information processing system includes: a first detection device that acquires information about a first domain; a plurality of second detection devices, each of which acquires information about a domain included in the first domain; a selection unit that selects at least one second detection device from the plurality of second detection devices based on a state of a target obtained from the acquired information about the first domain; and an aggregating unit that aggregates the information about the domain acquired by the selected at least one second detection device.