Dual-Range Face Detection for User-Specific System Booting
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Solution Overview
Problem
Information processing apparatuses that rely on face detection to boot from a standby state often fail to distinguish between registered users and non-users, leading to unnecessary power consumption and incorrect system activation.
Innovation Solution
The apparatus employs a dual detection range system, where a wider detection range is used for registered users and a narrower range for non-users, with face angle conditions, to accurately determine user presence and prevent unauthorized system activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If face detection is used with a single detection range to boot the system, then the system can be activated when a person approaches, but the system cannot distinguish between registered users and non-users, resulting in incorrect activations and power wastage
Solution Approach 1:
The patent divides the detection range into multiple segments: a first detection range for registered users and a second detection range for non-users. This segmentation allows the system to apply different detection criteria to different user categories, improving identification accuracy while maintaining manageable system complexity through structured range differentiation.
Solution Approach 2:
The patent applies different detection qualities to different spatial zones: the first detection range uses stricter matching criteria specifically for registered users, while the second detection range uses more lenient criteria for non-users. This local quality differentiation enables accurate user identification without requiring uniform complex detection across all areas.
2Adaptability or versatility
If a wide detection range is used to detect all approaching persons, then no user is missed, but non-users such as passersby are also detected, causing unnecessary system activation and power consumption
Solution Approach 1:
The patent dynamically adjusts the detection range based on user registration status. When a registered user is detected within the first detection range, the system activates with appropriate access rights. When only non-users are detected in the second detection range, the system remains inactive or activates with restricted access. This dynamic adjustment optimizes power consumption while maintaining detection coverage.
Solution Approach 2:
The patent changes the detection parameters (range and criteria) based on the detected user type. Registered users trigger system activation with full access, while non-users in the extended detection range do not trigger activation or trigger it with limited functionality. This parameter change strategy reduces unnecessary power consumption while preserving broad detection capability.
3Reliability
If user identification is implemented to boot the system for specific users, then authorized access is controlled, but the system cannot be booted when another user approaches, reducing accessibility
Solution Approach 1:
The patent creates a universal detection system that handles multiple user types through a single unified architecture. The first detection range serves registered users with full access, while the second detection range serves non-users with restricted or no access. This multi-functional design maintains strong authorization control while preserving ease of operation for different user categories.
Solution Approach 2:
The patent performs preliminary user registration to establish authorized user profiles before actual system access attempts. This preliminary action enables the system to quickly identify and authenticate registered users within the first detection range, ensuring both secure authorization control and rapid system activation when authorized users approach.
Data Source
AI summary
An information processing apparatus includes a memory which temporarily stores data of a captured image captured by an imaging unit imaging a predetermined detection range, a first processor which executes user registration processing to register a user based on face information on a specific person, person detection processing to process the data of the captured image stored in the memory in order to detect presence of a person by detecting a face area with a face captured therein from the captured image, and user determination processing to determine whether or not a person detected by the person detection processing is the specific person registered as the user by the user registration processing, and a second processor which boots a system based on the user registration processing, the person detection processing, and the user determination processing.