
TensorFlow
An end-to-end open source platform for machine learning.

End-to-end platform for developing and deploying AI/ML models on edge devices.

DEEPCRAFT™ Studio is an end-to-end platform designed for developing and deploying AI/ML models on edge devices. It streamlines the entire machine learning workflow for embedded systems, from data collection and annotation to model building, evaluation, and deployment. The platform supports various Infineon PSoC™ and AURIX™ boards, offering code generation capabilities for these targets. Key features include real-time data collection using different sensor modalities (microphone, IMU, radar), advanced data preprocessing techniques, and tools for model evaluation such as confusion matrices and Grad-CAM. DEEPCRAFT™ also provides ready-made models to accelerate development cycles. The platform focuses on ease of use, allowing developers without deep ML expertise to create and deploy edge AI applications efficiently.
DEEPCRAFT™ Studio is an end-to-end platform designed for developing and deploying AI/ML models on edge devices.
Explore all tools that specialize in train machine learning models. This domain focus ensures DEEPCRAFT™ Studio delivers optimized results for this specific requirement.
Explore all tools that specialize in model deployment. This domain focus ensures DEEPCRAFT™ Studio delivers optimized results for this specific requirement.
Pre-built, open-source machine learning models and datasets designed to provide a starting point for Edge AI projects. Includes datasets, preprocessing steps, and model architecture.
Supports real-time data streaming from various sensors including microphone, IMU, radar, and environmental sensors. Integrates seamlessly with Infineon PSoC™ and AURIX™ boards.
ML-assisted labeling and sequential labeling tools streamline the process of annotating large datasets for training models.
Automatically generates optimized C code for deploying models on Infineon PSoC™ and AURIX™ microcontrollers. Supports various target architectures and provides options for customization.
Provides tools for evaluating model performance using confusion matrices, Grad-CAM, and window visualization. Offers insights into model accuracy and explainability.
Download and Install DEEPCRAFT™ Studio
Connect your target Infineon board (PSoC™ or AURIX™)
Configure data streaming protocol for real-time data collection
Collect and label data using the data tab and available sensors
Select a pre-trained model or start a new model training job
Evaluate the model using confusion matrix and window visualization
Generate code for your target board and deploy the model
All Set
Ready to go
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"Users praise DEEPCRAFT™ Studio for its ease of use and comprehensive feature set for edge AI development."
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An end-to-end open source platform for machine learning.

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