Elevator User Detection With One Super-Wide-Angle Camera
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Solution Overview
Problem
Conventional elevator systems require multiple cameras to perform different detection functions, leading to inefficiency and increased costs.
Innovation Solution
An elevator user detection system utilizing a single camera with a super-wide-angle lens to capture images of the entire car and hall, setting multiple detection areas to perform various detection tasks such as user presence, door safety, and hall conditions, enabling multiple detection functions with a single camera.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple cameras are used to realize different detection functions, then detection coverage and functionality are improved, but device complexity and cost increase
Solution Approach 1:
The patent divides the detection area into multiple regions (first detection area and second detection area) that are distinguished by their spatial positions and detection purposes. The first detection area focuses on users waiting at the door, while the second detection area covers the broader hall region. This segmentation allows a single camera to perform multiple detection functions by analyzing different regions of the same image, thereby reducing the need for multiple cameras while maintaining comprehensive detection coverage.
Solution Approach 2:
The patent implements multi-functionality by enabling a single camera to perform various detection tasks through software-based region analysis. The same camera captures images that are then processed to detect users in different areas, determine waiting passenger counts, and monitor hall conditions. This universal approach replaces multiple specialized cameras with one multi-functional camera system, reducing device complexity while maintaining versatile detection capabilities.
2Device complexity
If a single camera is used to capture the entire car and hall, then device complexity is reduced, but detection precision for specific areas may deteriorate
Solution Approach 1:
The patent compensates for the broader field of view by segmenting the detected image into multiple logical detection areas. The first detection area is defined as the region where users wait at the door, and the second detection area covers the hall region. By applying region-specific detection algorithms to each segment, the system maintains high detection precision for specific areas while using a single camera for overall coverage.
Solution Approach 2:
The patent applies local quality by tailoring detection parameters and processing methods to each specific detection area. Different detection algorithms are applied to the first detection area (focusing on door-side users) versus the second detection area (covering the hall), allowing optimized detection precision for each region's specific requirements while using a single camera system.
Data Source
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AI summary
According to one embodiment, an elevator user detection system includes a camera (12) disposed in a car and including a super-wide-angle lens, configured to capture at least an image of the entirety of the inside of the car. The system includes a detection area setting unit (22a) configured to set at least two detection areas on an image captured by the camera (12), and a detection processing unit (22b) configured to execute a detection process related to a drive operation of the car for each of the at least two detection areas set by the detection area setting unit (22a) .