Fanlun's AIoT face detection solution is built around its edge-side wireless SoC chip series and deeply integrates an edge-side AI vision framework to achieve localized face detection and recognition on a single chip. The solution adopts a three-tier architecture design: the edge layer is based on a supporting AI vision development board, integrating a 2-megapixel camera, digital microphone, 8 MB PSRAM, and 4–8 MB Flash, with a built-in AI acceleration unit supporting processing capability at 240–400 MHz; the algorithm layer uses the edge-side AI vision framework and, through an optimized CNN model, achieves face detection accuracy of >95% and recognition speed of <500 ms, while supporting local storage and recognition of up to 10 Face IDs; the interaction layer integrates voice wake-up ("Hi Fanlun") to enable voice + face dual-mode interaction, and an automatic recovery mechanism after network disconnection ensures service continuity. The entire solution requires no additional coprocessor, reduces BOM cost by 35%, and has standby power consumption of only 10 µA, providing developers with an end-to-end integrated solution from hardware to software and greatly simplifying the development process.