Elevator IoT Terminal for Real-Time Abnormal Situation Detection
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Solution Overview
Problem
Management personnel face challenges in real-time recognition and response to safety accidents or abnormal situations in elevators, particularly in emergency situations like falls or fire smoke, due to the difficulty in timely detection and communication.
Innovation Solution
An IoT terminal system is installed inside the elevator, equipped with AI algorithms for real-time abnormal situation detection using CCTV images, motion sensors, and video transmission to a control center, enabling immediate identification and response to safety incidents through video calls and automatic emergency controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If management personnel manually monitor CCTV images to detect abnormal situations, then the system structure remains simple, but the response time is delayed and real-time detection is difficult
Solution Approach 1:
The patent replaces the mechanical manual monitoring system with an automated AI-based detection system. The IoT terminal captures CCTV images and uses deep learning algorithms to automatically detect abnormal situations, eliminating the need for continuous human monitoring and achieving real-time response without significant delay.
Solution Approach 2:
The patent introduces an intermediary AI processing layer between the CCTV camera and management personnel. The IoT terminal acts as a mediator that automatically analyzes video feeds, identifies abnormal situations, and triggers alerts, thereby reducing response time while keeping the overall system architecture manageable through modular design.
2Productivity
If automated AI detection is implemented in real-time, then the response speed improves, but the device complexity and computational requirements increase
Solution Approach 1:
The patent segments the detection system into modular components: an IoT terminal for image capture, an AI processing module for analysis, and a notification system for alerts. This segmentation allows real-time detection through distributed processing, improving detection speed while managing complexity through modular architecture.
Solution Approach 2:
The patent implements partial action by focusing AI processing only on detecting specific abnormal situations rather than analyzing all video content in full detail. The system processes key frames and uses selective attention mechanisms to identify critical events, achieving fast detection speed while reducing overall computational complexity.
3Reliability
If continuous CCTV monitoring is performed, then complete coverage of abnormal situations is achieved, but the energy consumption and data processing load increase
Solution Approach 1:
The patent implements periodic action by capturing and analyzing CCTV images at optimized intervals rather than continuously processing every frame. The IoT terminal takes snapshots at regular intervals and uses motion detection to trigger additional analysis only when changes are detected, maintaining high detection reliability while significantly reducing energy consumption and processing load.
Data Source
AI summary
IoT terminal and system of monitoring the occurrence of abnormal situation in an elevator are disclosed, wherein the system includes: an IoT terminal installed on the inside surface of an elevator and configured to detect abnormal situation in the elevator automatically and to transmitting the real-time sensing results; a control center terminal configured to receive the abnormal situation from the IoT terminal 100 in real time, to identify an abnormal situation in the elevator, and to control the abnormal situation and to propagate it in real time; an on-site personnel mobile terminal configured to receive the abnormal situation and output the abnormal situation that is propagated from the control center terminal.