IWRL6432BOOST

• Building blocks
• Integrated driver packages.
• Power management framework to exercise different device low power modes .
• Layered approach to programming analog front end (AFE).
• FreeRTOS™ and no-RTOS support on Arm® Cortex®-M4F processor
• Demonstrations and examples
• FreeRTOS-based demos.
• Out-of-box demo with easy configurability via low power visualizer GUI.
• Out-Of-box demo integrated with the power management framework to operate the device in the lowest power mode possible for the use-case.
• Representation of “motion detect ” , "point cloud" and benchmarking data from demo via low power visualizer GUI.
• Profiles tuned to common end-user scenarios, such as sensitivity to motion.
• Tools
• Code Composer Studio™ integrated development environment (IDE) (CCSTUDIO).
• SysConfig for the system code generation.

• IWRL6432AOP support for basic, advanced, and power tabs

• Silicon revision selector for power tab

• Additional warnings and errors added for xWR6432 to support the newest DFP released alongside device RTM.

The Code Composer Studio™ IDE is a complete integrated suite that enables developers to create and debug applications of all Texas Instruments Embedded Processors (Sitara, DSP, Automotive, Keystone), Microcontrollers (SimpleLink™, C2000 Digital Control, MSP430, TM4C, Hercules), as well as Digital Power (UCD) and Programmable Gain Amplifier (PGA) devices.

CCS v21 is TI’s next generation Integrated Development Environment (IDE) based on Theia IDE framework. CCS v21.0.1 uses a modified version of the Theia-IDE framework and offers a user experience similar to Visual Studio Code™.

• Installation instructions and User's Guide
• Windows 32bit is not supported with CCSv21.
• XDS510 class debug probes are not supported with CCSv21.

CCStudio™ Edge AI Toolkit Extension is a VS Code extension for CCStudio™ IDE and VS Code®. It detects, installs, and updates the environment needed for TI Edge AI (TinyML) workflows: a local Python interpreter, the TinyML ModelZoo training and compilation toolchain, and the TinyML AI Skills that teach your AI coding agent the workflow.

Once installed and configured, it will provide Edge AI Agentic workflow capabilities inside CCStudio IDE or CCStudio for VS Code, including dataset management, model training and optimization, and importing trained models into your CCStudio projects, for compiling, loading, running live inference, and debugging on device. The included agent skills system provides your AI agent with knowledge of all the features and settings needed for Edge AI development on TI devices, so it can answer specific questions, offer model or device recommendations, or guide you through an entire development workflow. Try it out, and start prompting it with the Edge AI application you want to build!

mmWave Studio GUI is designed to characterize and evaluate TI mmWave sensor devices. This package includes the GUI, associated tools and firmware for the performance evaluation of TI mmWave sensor devices. For more information please refer to the MMWAVE Studio User Guide and Release note.

This version supports the following device variants - AWRL6432, IWRL6432, AWRL1432 and IWRL1432. 

New Modules

• Selecting the Right Radar Device -> Security Features Overview Provides a high-level overview of the security features available with TI mmWave radar devices
• These security features determine the type of application boot flow that is followed by that device
• Radar Algorithms -> Motion and Presence Detection In-depth look at the commonly used motion/presence detection state machine
• Provides context on how the state transitions work and how the algorithm can be configured for various applications

The Radar Toolbox demonstrates the capabilities of TI's mmWave radar sensors through software demos, examples, source code and documentation. It supports the xWRx843, xWRLx432, xWRL68xx and xWR29xx families of mmWave radar devices. It is intended to be used as a companion package with the device's corresponding SDK (typically MMWAVE-SDK3, MMWAVE-MCUPLUS-SDK, MMWAVE-L-SDK-5 or MMWAVE-L-SDK-6) to demonstrate specific demos and features.