Display Theft Detection Using Camera-Based Facial Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image display apparatuses, such as laptops, struggle with accurately detecting theft situations, particularly when the registered user operates without using a keyboard or mouse, leading to potential misidentification and increased vulnerability to theft.
Innovation Solution
Incorporating a camera, memory to store facial images of registered users, and a signal processing device that enters a monitoring mode upon detecting significant changes in captured images, determining theft by facial recognition, and outputting alarms or transmitting images to the outside when a match is not found, while locking the display and preventing power-off to enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If theft detection relies on keyboard and mouse inputs, then the system can detect user presence, but it may misidentify theft situations when the registered user operates without using keyboard or mouse
Solution Approach 1:
The patent replaces mechanical input detection (keyboard and mouse) with optical detection (camera-based facial recognition). The camera captures images of the user's face, and the processor compares these images with registered facial data to determine whether the user is present or attempting theft, eliminating the limitations of mechanical input methods.
2Reliability
If the system enters monitoring mode frequently to detect theft, then theft detection capability improves, but power consumption increases
Solution Approach 1:
The system enters monitoring mode periodically or triggered by specific events (such as detecting that the laptop lid is closed or no keyboard/mouse input for a predetermined time) rather than operating continuously. The camera captures images at these periodic intervals, and the processor performs facial recognition only when needed, reducing overall power consumption while maintaining theft detection capability.
3Measurement precision
If the system uses facial recognition for theft detection, then theft detection accuracy improves, but device complexity increases
Solution Approach 1:
The patent utilizes the camera, which is already present in modern laptops for video conferencing and other purposes, to perform facial recognition for theft detection. The existing camera hardware and image processing capabilities are repurposed for security functions, avoiding the need for additional specialized sensors or hardware components.
Data Source
AI summary
An image display apparatus is disclosed. An image display apparatus according to one embodiment of the present disclosure comprises a camera, a display, a memory configured to store facial images of a registered user, and a signal processing device configured to enter a monitoring mode in response to changes in images captured by the camera exceeding a predetermined value during operation, wherein, in response to a facial image within images captured through the camera does not matching a facial image stored in the memory during the monitoring mode operation, the signal processing device is configured to determine a theft situation and output an alarm or transmit the images captured through the camera to the outside. Accordingly, a theft situation can be accurately detected in real-time.