Camera Image Modifier Circuitry for Facial Feature Obfuscation
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Solution Overview
Problem
Existing information handling devices, such as computers and cameras, compromise user privacy by allowing artificial intelligence and computer vision systems to gather biometric data without consent, as current obfuscation technologies have limited utility and may not effectively prevent facial recognition in all scenarios.
Innovation Solution
A system with a camera assembly and image modifier circuitry that detects and obfuscates facial features by modifying nodal points and inserting random or pseudorandom distortion into digital image data structures, making facial features unrecognizable to AI while remaining recognizable to humans, and providing a software driver for enabling this functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial features are left unmodified in digital images, then AI systems can accurately perform facial recognition and gather biometric data, but user privacy is compromised
Solution Approach 1:
The patent applies preliminary anti-action by modifying facial features in real-time before the image data reaches AI processing systems. The image modifier circuitry detects facial features and applies obfuscation transformations (such as altering nodal points, adding distortion, or inserting graphical elements) proactively, preventing accurate facial recognition while maintaining the appearance of a recognizable face to human observers.
2Object-affected harmful factors
If facial features are obfuscated to prevent AI recognition, then user privacy is protected, but the image may become less recognizable to humans
Solution Approach 1:
The patent applies local quality by selectively modifying only specific facial features rather than the entire image. The system identifies key nodal points (such as eyes, nose, mouth positions) and applies obfuscation only to these critical recognition points, leaving other facial characteristics intact. This localized approach ensures AI systems cannot accurately recognize the face while humans can still identify the person.
Solution Approach 2:
The patent applies parameter changes by altering specific parameters of facial features such as nodal point positions, facial geometry, or texture characteristics. The image modifier circuitry transforms facial data by changing these parameters within acceptable ranges that maintain human recognizability but exceed the tolerance thresholds of AI recognition systems.
3Object-affected harmful factors
If image processing is performed to protect privacy, then facial recognition is prevented, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by implementing the image modification functionality within the camera assembly itself, before images are captured or transmitted. The image modifier circuitry is integrated into the camera's image signal processor, allowing real-time modification of facial features as images are being captured, eliminating the need for post-processing and reducing overall processing time.
Solution Approach 2:
The patent applies self-service by enabling the camera system to autonomously perform facial feature obfuscation without requiring external processing power. The image modifier circuitry operates independently within the camera assembly, using its own dedicated hardware resources to detect and modify facial features, thereby reducing the computational burden on connected devices and minimizing processing delays.
Data Source
AI summary
There is disclosed an information handling system, including a camera, which may include an input lens, and an image signal processor, which may include circuitry that converts an analog image received at the input lens to a digital image data structure; a device interface may include circuitry that provides the image data structure to an information handling device, and a modifier circuit that modifies human features of the digital image data structure before the digital image data structure is provided to the device interface.