Tag - Model Quantization

esp32 s3 tinyml memory quantization realtime inference

Why TinyML on ESP32-S3 Bottlenecks on Memory, Quantization, and Real-Time Inference

ESP32-S3 can run TinyML, but production success depends less on AI instructions alone and more on SRAM, tensor arena sizing, INT8 quantization, operator support, PSRAM latency, sensor pipelines, and real-time inference budgets. This article explains the practical bottlenecks and boundaries.

AI and Machine Learning, Blog, Embedded System Development , May 14, 2026 , Edge AI, Edge Intelligence, embedded AI, ESP-NN, ESP32-S3, Model Quantization, Real-Time Inference, Tensor Arena, TensorFlow Lite Micro, TinyML

Migrating MediaPipe Gesture Recognition to RKNN: From .task to RK3566 Deployment

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.

AI and Machine Learning, Blog , December 2, 2025 , Computer Vision, Edge AI, embedded AI, Gesture Recognition, Landmark Detection, MediaPipe, Model Quantization, RK3566, RKNN, Rockchip