EDGE-AI-STUDIO
適用於邊緣 AI 的軟體開發工具
EDGE-AI-STUDIO
概覽
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.
Whether developing a proof of concept using a model from the TI Model Zoo or leveraging your own model, Edge AI Studio provides the tooling you need.
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.
Edge AI Studio is available as a cloud application for processors devices and as both a cloud and desktop application for microcontrollers, connectivity devices and radar sensors.
For advanced users or those using open-source environments, such as PyTorch or TensorFlow, TI provides a set of command-line tools enabling the use of TI devices in these environments. The Tensor Virtual Machine (TVM) compiler framework is used to optimize models for TI devices, both with and without dedicated accelerators. When working with TI processors that feature a C7 NPU, the TI Deep Learning library (TIDL) contains highly optimized implementations of common layers to ensure maximum performance. With the command-line tools, it is also possible to Bring Your Own Model (BYOM).
For users of CCStudio IDE and CCStudio for VS Code the Edge AI Toolkit enables agentic integration. Use an AI agent to select, train and deploy a model to a TI microcontroller, all fully integrated into your existing IDE workflow.
特點
TI 支援多類應用中的邊緣 AI 解決方案開發,其應用範圍包括但不限於:
處理器 (MPU)
- 物體偵測
- 影像分類
- 語意分割
微控制器 (MCU)
- 電弧故障偵測
- 馬達故障偵測
- 鼓風機不平衡
- 一般時間序列
雷達感測器
- 表面分類
下載項目
EDGE-AI-EXTENSION — Edge AI Toolkit Extension for CCStudio™ IDE and VS Code®
支援產品和硬體
產品
Sub-1 GHz 無線 MCU
Wi-Fi 產品
低耗電 2.4GHz 產品
即時數位電源 MCU
即時馬達控制與自動化 MCU
工業 mmWave 雷達感測器
汽車動力系統、區域和底盤控制 MCU
汽車無線連線產品
汽車車身和照明 MCU
通用型 MCU
硬體開發
子卡
開發套件
開發板
EDGE-AI-EXTENSION — Edge AI Toolkit Extension for CCStudio™ IDE and VS Code®
產品
Sub-1 GHz 無線 MCU
Wi-Fi 產品
低耗電 2.4GHz 產品
即時數位電源 MCU
即時馬達控制與自動化 MCU
工業 mmWave 雷達感測器
汽車動力系統、區域和底盤控制 MCU
汽車無線連線產品
汽車車身和照明 MCU
通用型 MCU
硬體開發
子卡
開發套件
開發板
文件
版本資訊
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!
最新功能
- Initial Release
- Guided setup of the Edge AI environment from a single Setup panel
- Local Python 3.10 interpreter, or your own 3.10.x interpreter / virtual environment
- TinyML ModelZoo v1.5 for dataset management, model training and optimization, and compilation
- TinyML AI Skills v1.5 that teach your AI agent the end-to-end Edge AI workflow
- Update notifications when newer ModelZoo, Skills, or Python packages are available
- Automatic AI agent configuration, so your agent can find the installed Python and ModelZoo with no manual setup
- Starter prompts to help you begin working with your AI agent
EDGE-AI-STUDIO — 適用於處理器的邊緣 AI Studio
支援產品和硬體
產品
多媒體與工業網路 SoC
汽車駕駛輔助 SoC
硬體開發
開發板
EDGE-AI-STUDIO — 適用於處理器的邊緣 AI Studio
產品
多媒體與工業網路 SoC
汽車駕駛輔助 SoC
硬體開發
開發板
版本資訊
Model Composer is a fully integrated no-code solution for training and compiling models for deployment into edge AI applications. It supports Bring-Your-Own-Data (BYOD), enabling the re-training of models from the TI Model Zoo with custom data. Deploy to your local development board.
Tasks supported:
- Image classification
- Object detection
- Semantic segmentation
- AC/DC Arc fault detection
- Passive Infra Red (PIR) classification for CC27xx
- Motor bearing fault detection
- Blower Imbalance detection
- Time-series Classification task support for C2000, MSPM0, CC27xx
- Surface Classification for mmWave
- Point Cloud Classification task support for mmWave
最新功能
- Arc Fault Task supports AC arc fault use case on MSPM0
- Passive Infra Red (PIR) classification for CC27xx
- Time-series Classification task support for C2000, MSPM0, CC27xx
- Point Cloud Classification task support for mmWave
- Project create workflow improvements.
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
支援產品和硬體
產品
Sub-1 GHz 無線 MCU
Wi-Fi 產品
低耗電 2.4GHz 產品
即時數位電源 MCU
即時馬達控制與自動化 MCU
汽車動力系統、區域和底盤控制 MCU
汽車車身和照明 MCU
通用型 MCU
硬體開發
子卡
開發套件
開發板
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
產品
Sub-1 GHz 無線 MCU
Wi-Fi 產品
低耗電 2.4GHz 產品
即時數位電源 MCU
即時馬達控制與自動化 MCU
汽車動力系統、區域和底盤控制 MCU
汽車車身和照明 MCU
通用型 MCU
硬體開發
子卡
開發套件
開發板
版本資訊
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
最新功能
- New Applications (Wi-Fi CSI Presence Detection, Cough Detection, Google Speech Commands, Wake Word Detection, Glass Break Detection)
- Visualization for Wi-Fi Channel State Information (CSI) data format
- Built-in playback for WAV file format
- Dataset Format Checker: reports errors and warnings for datafiles in an incorrect format
- New Feature Extraction Pipeline GUI for new Training Runs
- Model Quantization: 2, 4, or 8 bits, or Mixed Auto Precision
- Training Comparison: select two existing training runs to compare
- Parallel Training Runs: run up to 4 training runs in parallel
- Various enhancements and bug fixes