Explore a lightweight face detection method designed for the Himax Ultra-Low Power WE-I Plus AI Processor in this 28-minute conference talk from tinyML Asia 2021. Discover how Justin Kao, a Master Student of Electrical Engineering at National Cheng Kung University in Taiwan, addresses the challenges of implementing computer vision solutions in constrained tinyML environments. Learn about the real-time application's architecture, including power mutation, cascade architecture, and system framework. Examine performance metrics, benchmarks, and data class allocation strategies. Gain insights into scaling techniques and potential applications for this face detection method, which balances accuracy and efficiency in memory-constrained, always-on sensing products.