EDGE-AI-STUDIO
에지 AI용 소프트웨어 개발 툴
EDGE-AI-STUDIO
개요
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.
특징
TI는 다음을 포함하되 이에 국한되지 않는 다양한 애플리케이션을 위한 엣지 AI 솔루션 개발을 지원합니다.
프로세서(MPU)
- 객체 탐지
- 이미지 분류
- 의미론적 세분화
마이크로컨트롤러(MCU)
- 아크 오류 감지
- 모터 오류 감지
- 블로어 불균형
- 일반 시계열
레이더 센서
- 표면 분류
다운로드
IDE, 구성, 컴파일러 또는 디버거
EDGE-AI-STUDIO — 프로세서용 Edge AI Studio
지원되는 제품 및 하드웨어
제품
멀티미디어 및 산업용 네트워킹 SoC
차량용 운전자 지원 SoC
하드웨어 개발
평가 보드
EDGE-AI-STUDIO — 프로세서용 Edge AI Studio
제품
멀티미디어 및 산업용 네트워킹 SoC
차량용 운전자 지원 SoC
하드웨어 개발
평가 보드
출시 정보
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
새 소식
- 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.
IDE, 구성, 컴파일러 또는 디버거
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
지원되는 제품 및 하드웨어
제품
Sub-1GHz 무선 MCU
Wi-Fi 제품
범용 MCU
실시간 디지털 전원 MCU
실시간 모터 컨트롤 및 자동화 MCU
저전력 2.4GHz 제품
차량용 파워트레인, 구역 및 섀시 제어 MCU
차체 및 조명 MCU
하드웨어 개발
개발 키트
도터 카드
평가 보드
EDGE-AI-STUDIO-MCU — Edge AI Studio for Microcontrollers
제품
Sub-1GHz 무선 MCU
Wi-Fi 제품
범용 MCU
실시간 디지털 전원 MCU
실시간 모터 컨트롤 및 자동화 MCU
저전력 2.4GHz 제품
차량용 파워트레인, 구역 및 섀시 제어 MCU
차체 및 조명 MCU
하드웨어 개발
개발 키트
도터 카드
평가 보드
출시 정보
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
새 소식
- 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