Tag - embedded AI

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Deep dive into ESP32-S3 TinyML optimization, covering TFLM setup, INT8 quantization, memory tuning, PSRAM trade-offs, and real-world performance limits.
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A deep dive into ESP32 edge AI architecture, covering OTA design, INT8 inference, memory constraints, and production considerations for long-running devices.
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A step-by-step guide to convert MediaPipe Gesture Recognition models to RKNN and running real-time inference on RK3566 NPU, with code and troubleshooting tips.
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Learn how ESP32-S3 TensorFlow Lite Micro enables edge AI and wake word detection with on-device inference for embedded and IoT devices.
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Discover strategies for deploying ASR and TTS voice recognition technology in cloud, edge, and embedded environments. Optimize your voice apps with models like Whisper and VITS.

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