AI Door Control for Entry Intention Detection and Power Saving
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Solution Overview
Problem
Existing automatic doors struggle to accurately determine the entry/exit intentions of objects and optimize their opening/closing operations based on these intentions, leading to inefficient power consumption and potential security risks.
Innovation Solution
An AI-based self-optimizing door system that analyzes door entry/exit area images to extract features of entry/exit intention objects, determining appropriate control elements such as opening/closing decisions, width, speed, and time using a neural network-based model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If traditional sensors are used to detect approaching objects, then the door can be opened automatically, but the system cannot accurately determine entry/exit intentions leading to unnecessary power consumption
Solution Approach 1:
The patent replaces traditional mechanical/infrared sensors with an AI-based vision system using cameras and neural networks to detect and analyze object features, movement trajectories, and entry/exit intentions. This substitution enables more accurate intention recognition while reducing unnecessary door operations and power consumption.
Solution Approach 2:
The system performs self-optimization by automatically learning from video data to improve its door control decisions. The AI model continuously refines its ability to distinguish genuine entry/exit intentions from false positives, enabling the system to autonomously reduce power consumption without external intervention.
2Ease of operation
If the door opens automatically for any detected object, then convenience is improved, but security risks increase due to unauthorized access
Solution Approach 1:
The patent applies different analysis criteria and attention levels to different objects and scenarios. The AI model evaluates specific object features, movement patterns, and contextual information to determine genuine entry/exit intentions, allowing the system to maintain high convenience for legitimate users while filtering out unauthorized access attempts.
3Device complexity
If the door control system uses simple sensor detection, then the device complexity is reduced, but the ability to optimize opening/closing operations based on object intentions is limited
Solution Approach 1:
The AI-based door control system performs multiple functions using a single integrated platform: it detects objects, analyzes movement trajectories, recognizes entry/exit intentions, determines optimal door control parameters, and continuously learns from new data. This multi-functional approach provides high adaptability while managing complexity through unified AI processing.
Data Source
AI summary
The present disclosure relates to an AI-based self-optimizing door opening/closing device and method. The device includes an image acquisition unit that acquires an image of a door entry area via a camera, an object feature extraction unit that analyzes the image of the door entry area and extracts features of an entry/exit intention object, and a door control element determination unit that inputs the features of the entry/exit intention object into an AI-based door control model to optimize a location of the door entry area and determine at least one door control element.