Camera-Based Guest Check-Out Detection for Hotel Room Turnover
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current hotel management systems face challenges in detecting guest check-out efficiently, leading to delays in room preparation for new guests and energy wastage due to unattended appliances.
Innovation Solution
A method and system that utilize a camera to image the region in front of a hotel room door on check-out day, analyzing images for the presence of a person and a bag to determine if a guest has checked out, and subsequently sending notifications to housekeeping and controlling room appliances to conserve energy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual check-out detection is used, then the system is simple to implement, but room turnover is delayed and productivity is reduced
Solution Approach 1:
The system enables automatic self-detection of guest check-out through camera-based image analysis. The door lock system automatically captures images, analyzes them for presence of person and bag, and triggers check-out confirmation without requiring manual intervention from front desk personnel, thereby accelerating room turnover while maintaining acceptable system complexity through automated processing
Solution Approach 2:
The patent replaces manual mechanical detection methods with an automated optical detection system using cameras and image processing algorithms. Instead of relying on manual checking or simple mechanical sensors, the system uses computer vision to detect guest departure, achieving faster and more reliable check-out detection
2Loss of time
If housekeeping is notified manually, then the process is simple, but time is lost and productivity decreases
Solution Approach 1:
The door lock system establishes a feedback loop where image analysis results automatically trigger notifications to housekeeping. The system continuously monitors for guest check-out conditions and provides real-time feedback to relevant departments, eliminating manual notification delays and accelerating the room preparation process
Solution Approach 2:
The system performs preliminary detection and analysis of guest check-out status before actual room cleaning begins. By analyzing images and identifying check-out conditions in advance, the system enables housekeeping to be notified immediately and prepare rooms ahead of time, reducing overall turnover time
3Loss of energy
If appliances remain on after guest departure, then guest convenience is maintained, but energy is wasted
Solution Approach 1:
The system takes preliminary action by detecting guest check-out status before energy-saving measures are implemented. Once the camera system identifies that a guest has departed the room, it automatically triggers the hotel management system to begin power reduction procedures, ensuring energy is saved without compromising guest experience during their stay
Solution Approach 2:
The system establishes a feedback mechanism where real-time detection of guest presence or absence automatically controls appliance power consumption. The door lock system provides feedback to the hotel management system about guest status, which then automatically adjusts energy supply to rooms, preventing waste while maintaining reliability through continuous monitoring
Data Source
AI summary
A method for managing a hospitality workflow in a hotel, comprises imaging a region in front of a hotel room door on a checkout day, after the hotel room door is opened, by a camera. An image of the region is analyzed for the presence of a person and the image is analyzed for the presence of a bag, by a processing device. It is determined whether a guest checked out of the room based on the detection of the person and the detection of the bag. If it is determined that the guest checked out, the housekeeping department may be informed that the guest checked out, enabling quicker cleaning of a vacated room. A door lock system including the camera and a check-in procedure comprising reading QR code image on a guest's smart device by the camera, for example, are also disclosed.


