Over the past three decades, the convergence of machine learning, big data and enhanced computing power has transformed the field of computer vision from basic image and signal processing to complex perception. The recent decade, marked by the emergence of advanced imaging and ranging sensors and an 80-fold boost in AI computation efficiency, has ushered in a new era of perception systems capable of understanding the world around us. In this presentation, we will delve into essential insights gained from developing and deploying vision-based AI systems in the wild while addressing some common pitfalls and misbeliefs. We’ll introduce “Ten Commandments” for creating an embedded vision AI product, ranging from respecting multimodality to not taking the name of (generative) AI in vain. Finally, we will emphasize the importance of an end-to-end system development approach encompassing AI, compute and a multimodal sensing suite.