Abstract
Dynamic Color Tuning as Auto White Balance in cameras is a critical feature for ensuring accurate color reproduction across varying lighting conditions. This paper presents an innovative method for AI based enhancement of Dynamic Color Tuning in (PC) Cameras by integrating real-time face ID and ROI (Region of Interest) detection via ISP (Image Signal Processor), involving ISP AI on edge, to improve and dynamically customize existing Auto White Balancing of Camera image for each user or camera subject. Using data trained AI models, each individual user’s face skin tone/complexion, reflective properties of skin and other facial characteristics are to be linked to specific Face ID. Additionally, utilizing AI ROI (Region of Interest) detection, ISP’s AI based DCT (Dynamic Color Tuning) algorithm will adjust AWB (Auto White Balance) weighting via detection of dynamic backgrounds, and moving objects, also reinforced by object detection capabilities.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.
Recommended Citation
INC, HP, "Face ID and ROI Detection Enhanced Intelligent Auto White Balancing and Dynamic Color Tuning Applications in Cameras using ISP edge AI Processing", Technical Disclosure Commons, (January 12, 2025)
https://www.tdcommons.org/dpubs_series/7720