Keyword spotting on Arm Cortex-M Microcontrollers
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Updated
Apr 10, 2019 - C
Keyword spotting on Arm Cortex-M Microcontrollers
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
Tensorflow Lite Micro is a DL inference framework for microcontrollers based on Google Tensorflow Lite
Code for paper 'Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware'
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
Collect data and send to uper monitor. Run AI model.
Embedded realization of a FER-CNN(face emotion recogniton) based on STM32H7 MCU.
Cortex 微控制器软件接口标准(CMSIS)文档
Embedded-first C++26/C23 neural inference: float32+int8 on MCU/MPU/CPU. CMSIS-NN · ESP-NN · NMSIS-NN · XNNPACK. Peer-benched vs TFLM, microTVM, TF Lite, ONNX Runtime (Arm · Espressif · RISC-V · Apple).
Central Proteus simulation and Git submodule tracker for the STM32 Smart Car network.
This project discusses implementation of deep learning model deployment for vibration prediction of motor
Static INT8 AOT compiler that turns fixed PyTorch MCU models into standalone C11
TinyML-based obstacle detection and emergency braking system simulated on STM32F401VE using STM32Cube.AI, CMSIS-NN, and Proteus. ONNX model deployed on Arm Cortex-M4.
STM32F407 edge-AI node for industrial motor predictive maintenance: vibration/sound sensing, on-device anomaly detection (X-CUBE-AI), local alarm, and WiFi data upload.
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