In this session we’ll provide a comprehensive introduction to the three fundamental auto algorithms (3A) that enable high-quality imaging in embedded camera systems: autoexposure (AE), autofocus (AF) and auto white balance (AWB). We’ll explain the core principles and logic behind each algorithm, including the statistical methods and ISP data they rely on. We’ll explain how each algorithm processes histogram data, zone-based statistics and sensor information to make intelligent decisions about exposure, focus and color balance. Engineers working on camera-enabled embedded systems will gain practical understanding of 3A fundamentals applicable across consumer, automotive and industrial vision applications.