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NXP Application Code Hub - Index Of Application SW Packs

Index

  1. ML Person Detector
  2. i.MX RT INDUSTRIAL DRIVE DEVELOPMENT PLATFORM
  3. Basic Matter Ready Connected HMI platform with cost-optimized MCU, Wi-Fi 4, Thread, and Bluetooth Low Energy 5.0
  4. DVS With Internal PVT Sensor
  5. Power Optimized Voice UI
  6. Conversa Voice Calling Software Pack
  7. ML State Monitor

1. ML Person Detector ⤒

Overview

This App SW Pack provides a ML example for people detection using eIQ. The software provides customers with product quality code that can be integrated into their designs.

Families: i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: DISPLAY, UART, VIDEO

Categories: Industrial, AI/ML, Security, Vision

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-ml-person-detector/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-ml-person-detector

2. i.MX RT INDUSTRIAL DRIVE DEVELOPMENT PLATFORM ⤒

Overview

The Industrial Drive Development Platform shows how a single i.MX RT1176 Crossover MCU can control up to four different motors, while managing wired or wireless connectivity and an HMI interface.

Families: i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: ADC, CAN, CLOCKS, DISPLAY, DMA, ETHERNET, FLASH, GPIO, I2C, PWM, SENSOR, SPI, UART, USB, WATCHDOG, TIMER

Categories: Graphics, Secure Provisioning, Sensor, Motor Control, Cloud Connected Devices, Industrial, Security, RTOS, Time Sensitive Networking

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-qmc2g-industrial/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-qmc2g-industrial

3. Basic Matter Ready Connected HMI platform with cost-optimized MCU, Wi-Fi 4, Thread, and Bluetooth Low Energy 5.0 ⤒

Overview

NXP's cost-optimized MCU (FreeRTOS) platform enables Matter-ready edge node development with Wi-Fi 4, Thread, and Bluetooth Low Energy 5.0 wireless connectivity protocols using i.MX RT1060 MCU, K32W0x MCU, and 88W8801 Wi-Fi SoC.

Families: MW, K32W, i.MX RT

Toolchains: GCC

Peripherals: DISPLAY, DMA, FLASH, GPIO, I2C, SPI, UART, USB

Categories: HMI, Cloud Connected Devices, RTOS, Wireless Connectivity

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-basic-matter-ready-connected-hmi/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-basic-matter-ready-connected-hmi

4. DVS With Internal PVT Sensor ⤒

Overview

This application showcase the dynamic voltage scaling (DVS) capabilities of i.MX RT500 using the internal PVT sensor.

Families: i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: CLOCKS, I2C, TIMER, UART

Categories: Low Power, Power Conversion

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-dvs-pvt-sensor/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-dvs-pvt-sensor

5. Power Optimized Voice UI ⤒

Overview

This Application Software Pack provides a power optimized application featuring local voice control using NXP's Voice Intelligent Technology (VIT) on the i.MX RT595 Crossover MCU.

Families: i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: I2C, UART, DMA

Categories: Voice

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-optimized-voice-ui/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-optimized-voice-ui

6. Conversa Voice Calling Software Pack ⤒

Overview

Enables a complete voice call application over USB using NXP’s MCU and Conversa Voice Suite.

Families: LPC, i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: DMA, SAI, USB, I2S

Categories: Voice

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Repository URL: https://github.com/NXP-APPCODEHUB/ap-conversa-voice-calling/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-conversa-voice-calling

7. ML State Monitor ⤒

Overview

This Machine Learning (ML) application software pack relies on Deep Learning and enables developers to develop and deploy neural networks on MCU-based systems for building smart sensing applications that use time series real-time sensed data for system state monitoring.

Families: Kinetis, LPC, MCX, i.MX RT

Toolchains: MCUXpresso IDE

Peripherals: I2C, SDIO, SENSOR, UART, TIMER

Categories: Sensor, Anomaly Detection, AI/ML, RTOS, Tools, SDMMC

Application format: Project File (MCUX/MDK/IAR)

Compatible boards:

Expansion boards

Repository URL: https://github.com/NXP-APPCODEHUB/ap-ml-state-monitor/tree/main

ACH URL: https://mcuxpresso.nxp.com/appcodehub?search=ap-ml-state-monitor