Dynamic Contrast Adjustment for AI Face Recognition

The patent applies parameter changes by dynamically adjusting the contrast parameter of the ISP based on the actual imaging environment. The processor determines an appropriate contrast parameter according to lighting conditions and other environmental factors, then controls the ISP to perform image processing with this adjusted parameter. This resolves the contradiction by adapting the image processing parameters to match the practical environment, ensuring that the contrast characteristics of captured images align with those of stored facial information, thereby maintaining high recognition accuracy when using deep learning.

The patent implements dynamics by transitioning from a fixed contrast parameter to a dynamically adjustable one. The processor continuously determines appropriate contrast parameters based on real-time imaging environment conditions and controls the ISP to adaptively process images. This dynamic adjustment mechanism allows the system to maintain high processing speed while simultaneously adapting to various practical environments including different lighting conditions and poses, thereby resolving the contradiction between speed and recognition performance.

The patent applies universality by integrating the contrast parameter determination and adjustment functionality into the existing processor and ISP architecture. The processor, which already performs face recognition processing, now also determines appropriate contrast parameters based on imaging environment conditions and controls the ISP accordingly. This multi-functionality approach allows the system to achieve improved recognition accuracy through contrast adjustment without significantly increasing device complexity, as the same hardware components perform multiple functions.