LP-MSPM33C321A

MSP-AUTO-SDK package contains MCAL and CDD modules as per AUTOSAR architecture along with pre-build SDL library and MCAL+SDL integrated example to showcase their compatibility. These software modules are developed specific for platform hardware to enable the direct access to on-chip MCU peripherals. Thus, making the upper layer of AUTOSAR architecture independent of MCU platform hardware. These drivers are developed as per AUTOSAR version 4.3.1(except lin slave). The delivery contains source code of all drivers, EB Tresos plugin to generate configuration data, User Guide, bare-metal examples of each driver and Test Report.

The MSPM33 SDK includes the following features:

• DriverLib and Header Files - v1.04.00:
• Support for MSPM33C321A
• SysConfig - v1.04.00:
• Support for code generation of all DriverLib peripherals
• Clock Tree for easier configuration of Clock System
• NONMAIN Configurator
• Security Configuration
• Project Configuration
• QSPI module support
• Comp Analog Wakeup support
• Security:
• Peripheral protection examples
• Debug unlock examples
• BSL Host examples for I2C and UART
• Boot manager - Customer Secure code
• PSA Crypto examples using TF-PSA-Crypto with AESADV hardware acceleration
• Middleware:
• CMSIS DSP Library v1.16
• LIN Commander and Responder examples
• EdgeAI - Motor fault detection, AC arc fault detection, PIR detection, character recognition, blower imbalance, torque measurement, and generic timeseries examples
• QSPI Flash abstraction layer
• EEPROM Emulation Library
• HAL abstraction layer (I2C, SPI, UART)
• Code examples:
• Hundreds of examples from low-level drivers
• RTOS:
• FreeRTOS Library - v11.2.0
• Tools:
• IDEs: CCS Theia, IAR, Keil MDK
• Compilers: TI-Clang, Arm GCC, IAR, Keil (ARMCC)
• Documentation:
• Comprehensive software documentation including user guides and multiple API guides
• Tools Guide including quick start guides and user guides for MSPM33 tools including IDEs, code generation, debuggers and programmers
• EEPROM Emulation Library documentation and API guide

Edge AI Studio is part of the CCStudio™ development tool ecosystem. Edge AI Studio is a collection of graphical and command line tools designed to accelerate edge AI development on TI processors, microcontrollers, connectivity devices and radar sensors. It supports both AI-accelerated devices such as processors featuring a C7™ NPU or microcontrollers featuring a TinyEngine™ as well as AI-supported devices without a dedicated accelerator.

The Edge AI Studio graphical user interface provides a fully integrated solution for data management, model training and deployment on a live development platform. Select from a variety of optimized pre-trained models in the TI Model Zoo and optionally re-train them with custom data (BYOD) to improve accuracy and performance.

Features

• TI Model Zoo containing a wide variety of optimized models
• Supports tasks and models across Time Series, Vision, and Radar
• Supports devices across processors, microcontrollers, connectivity devices and radar sensors
• Data collection
• Data annotation
• Model training with custom data (BYOD)
• Deploy to a live device
• Integration with CCStudio™ IDE