Elevator Dispatch via Facial Recognition Automation
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Solution Overview
Problem
Elevator systems lack efficient and secure methods for determining user destinations, often relying on manual input or outdated registration methods, which can lead to inefficiencies and security concerns.
Innovation Solution
A facial recognition-based conveyance system that uses cameras to detect user facial features, matches them against stored profiles, and schedules elevator service accordingly, with an interface to request or present anticipated destinations based on profile data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual destination input is used, then user privacy is maintained, but system efficiency and automation are reduced
Solution Approach 1:
The patent replaces manual mechanical input (buttons, keyboards) with optical detection (facial recognition cameras) to automatically determine user identity and destination, eliminating the need for physical interaction while improving automation and efficiency
Solution Approach 2:
The system enables users to automatically register their destinations through facial recognition without manual input, allowing the system to serve itself by automatically capturing, analyzing, and processing user information upon entry
2Ease of operation
If traditional badge reading is used, then security is maintained, but user convenience and speed are reduced
Solution Approach 1:
The system performs preliminary facial recognition and destination determination as users enter the elevator, completing the destination registration process before the elevator departs, thereby eliminating time loss and improving operational convenience
Solution Approach 2:
The patent replaces badge-reading mechanical systems with contactless facial recognition technology, allowing users to register destinations simply by being present in the detection area, significantly improving ease of operation and reducing time loss
3Reliability
If facial recognition is implemented, then security and automation are improved, but system complexity and privacy concerns increase
Solution Approach 1:
The patent segments the facial recognition system into distinct functional modules: camera units for image capture, processing units for facial feature analysis, profile units for data storage, and dispatch units for elevator control, thereby managing system complexity through modular architecture while maintaining high identification accuracy
Data Source
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AI summary
A conveyance system includes a camera to generate an image of an area of interest; a dispatch system including a facial recognition unit and a profile unit, the facial recognition unit detecting facial features of a user in the image; the dispatch system determining if the facial features match a profile stored in the profile unit, the dispatch system scheduling car service in response to the facial features matching the profile stored in the profile unit; a system interface including a system interface camera, the system interface camera to generate a second image of the user at the system interface; the facial recognition unit detecting facial features of the user in the second image; the dispatch system determining if the facial features of the user in the second image match the profile stored in the profile unit.