Edge AI Vision Software For NXP MCUs

MCU-VISION-PIPELINE new

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The MCU Vision Pipeline is a software library that provides a set of modular building blocks designed to accelerate the development of Vision AI–based applications, such as object detection, face recognition, and gesture recognition, on NXP microcontrollers, on Zephyr and FreeRTOS. It efficiently harnesses the hardware acceleration features (such as the 2.5D GPU, Neural Network Processing Units, DSP, etc.) of NXP microcontrollers to deliver optimal performance for vision applications.

Diagram

Edge AI Vision Software For NXP MCUs

Edge AI Vision Software For NXP MCUs Block Diagram

Features

  • Multiple video input sources support: local camera, USB camera, still picture, H264 stream, local storage
  • Supported Inference frameworks: TensorFlowLite Micro, Executorch on Neutron NPU
  • MCUs hardware-acceleration support: 2D image pre-processing on 2.5D GPU, camera streaming through EZH-V
  • Multi-core inference support
  • H264 encode/decode, RTP/RTSP server streaming support
  • labelling and bounding boxes drawing support
  • Multiple video sinks: LVGL compositor, raw display driver, local file storage
  • Multiple examples and applications included: camera preview, image classification, object detection, face detection, face recognition
  • FreeRTOS and Zephyr OS support
  • Full Open-Source Software (Apache-2.0 and BSD-3c)

Supported Devices

  • i.MX-RT700: i.MX RT700 Crossover MCU with Arm® Cortex®-M33, NPU, DSP and GPU Cores
  • i.MX-RT1170: i.MX RT1170: 1 GHz Crossover MCU with Arm® Cortex® Cores
  • MCX-N94-N54-N53-N52-N24: MCX N94, N54, N53, N52 and N24 with Highly Integrated Low-power Dual Core Arm® Cortex®-M33 MCUs, with on-chip Accelerators and Advanced Security

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Note: For better experience, software downloads are recommended on desktop.

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