EDGE-AI-STUDIO
エッジ AI 向け、ソフトウェア開発ツール
EDGE-AI-STUDIO
概要
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.
特長
TI は、以下のような多くの種類のアプリケーション向けエッジ AI ソリューションの開発をサポートしていますが、これらに限定されません。
プロセッサ (MPU)
- 障害物検知
- イメージの分類
- セマンティック セグメンテーション
マイコン (MCU)
- アーク障害検出
- モーター障害検出
- 送風機のバランスが崩れています
- 一般的な時系列
レーダー センサ
- 表面分類
ダウンロード
EDGE-AI-STUDIO — プロセッサ向け Edge AI Studio
サポート対象の製品とハードウェア
製品
マルチメディア / 産業用ネットワーク SoC
車載運転支援 SoC
ハードウェア開発
評価ボード
EDGE-AI-STUDIO — プロセッサ向け Edge AI Studio
製品
マルチメディア / 産業用ネットワーク SoC
車載運転支援 SoC
ハードウェア開発
評価ボード
リリース情報
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
最新情報
- 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
サポート対象の製品とハードウェア
製品
Sub-1GHz ワイヤレス マイコン
Wi-Fi 製品
リアルタイム デジタル電源マイコン
リアルタイム モーター制御 / オートメーション マイコン
低消費電力 2.4GHz 製品
汎用マイコン
車載パワートレイン、ゾーンおよびシャーシ制御マイコン
車載ボディおよびライティング マイコン
ハードウェア開発
ドーター・カード
評価ボード
開発キット
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
製品
Sub-1GHz ワイヤレス マイコン
Wi-Fi 製品
リアルタイム デジタル電源マイコン
リアルタイム モーター制御 / オートメーション マイコン
低消費電力 2.4GHz 製品
汎用マイコン
車載パワートレイン、ゾーンおよびシャーシ制御マイコン
車載ボディおよびライティング マイコン
ハードウェア開発
ドーター・カード
評価ボード
開発キット
リリース情報
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
最新情報
- 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