TOF Camera Facial Recognition With Adaptive Eye-Safe Lighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Facial recognition technologies using 2D feature detection are vulnerable to identity spoofing attacks, such as using a photo of the owner, resulting in low security.
Innovation Solution
Implementing a Time of Flight (TOF) camera with a transmitter and receiver to collect 3D facial recognition data, where the transmitter intensity is adjusted based on a normal or abnormal working state to ensure eye safety and enhance security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the transmitter works at high light intensity to improve facial recognition accuracy and prevent spoofing attacks, then security and recognition precision are improved, but the risk of eye injury increases
Solution Approach 1:
The transmitter dynamically adjusts its light intensity based on real-time detection results. When a live face is detected, the transmitter operates at high light intensity (second light intensity) to capture detailed 3D facial features for accurate recognition and spoofing prevention. When no face or an abnormality is detected, the transmitter reduces light intensity to a first light intensity or turns off completely, thereby eliminating eye injury risk while maintaining recognition security when needed
Solution Approach 2:
The system implements a feedback mechanism where the receiver continuously monitors reflected light to detect live facial features. Based on this feedback, the system determines whether to switch the transmitter between different working modes: eye-safe mode (low intensity), normal mode (high intensity for recognition), or off state. This closed-loop control ensures high intensity is only applied when a live face is confirmed, resolving the contradiction between security and safety
2Illumination intensity
If the transmitter works at high light intensity to ensure sufficient light for image collection, then image quality is improved, but eye safety is compromised
Solution Approach 1:
The transmitter operates in multiple dynamic intensity states rather than a fixed state. It switches between a first current value (producing first light intensity for eye safety), a second current value (producing second light intensity for adequate illumination during recognition), and a third current value of 0 (off state). This dynamic adjustment ensures sufficient illumination only when necessary for facial recognition, while maintaining eye safety during other periods
Solution Approach 2:
The system employs periodic operation where the transmitter alternates between low-intensity eye-safe operation and high-intensity recognition operation. The receiver continuously monitors for reflected light patterns indicating a live face, and only when such patterns are detected does the transmitter switch to high-intensity periodic pulsing for the duration needed to capture facial data, then returns to low-intensity operation, thus providing adequate illumination during active recognition while ensuring eye safety during idle periods
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances facial recognition security by preventing eye injury and mitigating spoofing attacks through 3D data collection and adaptive light intensity control.
Implementation Method 1
a transmitter configured to transmit light signals and an image sensor configured to receive reflected light and make an image
Implementation Method 2
This application relates to the terminal field, and in particular, to a method and an apparatus for facial recognition. Facial recognition method applied to an electronic device, wherein the electronic device comprises a time of flight TOF camera module
Data Source
Figure 1
Figure 2(a)~2(b)
Figure 3
AI summary
Embodiments of this application relate to the terminal field, and provide a method and an apparatus for facial recognition so as to improve security of facial recognition. The method is applied to an electronic device, where the electronic device includes a TOF camera module, and the TOF camera module includes a transmitter configured to transmit a light signal and an image sensor configured to receive reflected light and make an image. The method includes: receiving a first operation by a user, where the first operation is used to trigger facial recognition; controlling the transmitter to work at a first light intensity; determining whether the transmitter is in a normal working state; controlling, in a case that the transmitter is in a normal working state, the transmitter to work at a second light intensity, where the second light intensity is higher than the first light intensity; controlling the image sensor to collect image data; and performing the facial recognition based on the image data.