I will develop esp32 s3 edge ai tinyml firmware camera microphone inference deployment

Professional ESP32-S3 Edge AI firmware development and TinyML deployment for smart detection devices. I build efficient low power on device AI solutions running camera and microphone inference directly on the ESP32-S3 without cloud dependency. Using ESP-IDF TensorFlow Lite Micro and Edge Impulse I deliver production ready firmware featuring real time local decision logic smart presence detection occupancy sensing and complete edge AI product integration

Buyers often receive basic Arduino sketches that waste power and memory. My expertise focuses on the ESP32-S3 dual core LX7 vector instructions PSRAM and ESP-DL acceleration delivering faster inference with dramatically lower energy consumption often below 50 mA in duty cycle mode. I manage model quantization memory tuning power profiling and hardware integration with popular modules like ESP-CAM and XIAO ESP32S3 Sense plus digital microphones

You receive full end to end service including requirements analysis sensor selection guidance custom model conversion and optimization from your dataset or assistance training via Edge Impulse complete inference pipeline with frame event handling and local triggers such as GPIO alerts or