DEEPCRAFT™ Ready Models

DEEPCRAFT™ Ready Models are production-ready Edge AI models that are the fastest way to take machine learning to market

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Overview

DEEPCRAFT™ Ready Models (formerly Imagimob Ready Models) are the fastest way to take Edge AI into production. These fully tested, market-ready, pre-trained models are designed to give companies a way to add AI features into products without developing machine learning models on their own. DEEPCRAFT™ Ready Models are optimized to work with Infineon's sensors and MCUs, but are available for other sensors and MCUs as well.

Key Features

  • Production-ready Edge AI models
  • Comprehensively tested
  • Fast time to market
  • Low memory footprint
  • Low inference time
  • No ML expertise required
  • Easy to integrate

About

DEEPCRAFT™ Ready Models are production-ready AI / Machine Learning (ML) models that are ready to be added to any edge device. Save the time, cost and resources usually required to collect, validate, and label data, as well as to train custom AI / ML models.

No machine learning skills required: with DEEPCRAFT™ Ready Models, you get complete, fully-tested Edge AI models trained by experienced AI engineers.

Designed for the edge: each Ready Model is low power, has low memory footprint, and short inference time. 

Deploy or customize based on your needs. Access the models as projects in DEEPCRAFT™ Studio, and either customize if you want to adapt them further to your use case, or generate code directly to deploy onto your Infineon microcontroller.

DEEPCRAFT™ Ready Models are designed for various sensors and data types, and new models are always in development. There are currently eight Ready Models available:

Audio-based models:
DEEPCRAFT™ Ready Model for Baby Cry Detection
DEEPCRAFT™ Ready Model for Cough Detection
DEEPCRAFT™ Ready Model for Siren Detection
DEEPCRAFT™ Ready Model for Snore Detection

Radar-based models:
DEEPCRAFT™ Ready Model for Gesture Detection

To access DEEPCRAFT™ Ready Models, you first need to download DEEPCRAFT™ Studio.  You can then download the Ready Models as Studio projects.  

Looking to customize? If you want to adapt the Ready Model to fit your specific needs or use case, you can change the pre-processing, post-processing, add more data, etc.  

Ready to deploy? If you plan to use the Ready Models as they are, you can go straight to code generation, and proceed to deploy your model onto the Infineon hardware of your choice.

DEEPCRAFT™ Ready Models are production-ready AI / Machine Learning (ML) models that are ready to be added to any edge device. Save the time, cost and resources usually required to collect, validate, and label data, as well as to train custom AI / ML models.

No machine learning skills required: with DEEPCRAFT™ Ready Models, you get complete, fully-tested Edge AI models trained by experienced AI engineers.

Designed for the edge: each Ready Model is low power, has low memory footprint, and short inference time. 

Deploy or customize based on your needs. Access the models as projects in DEEPCRAFT™ Studio, and either customize if you want to adapt them further to your use case, or generate code directly to deploy onto your Infineon microcontroller.

DEEPCRAFT™ Ready Models are designed for various sensors and data types, and new models are always in development. There are currently eight Ready Models available:

Audio-based models:
DEEPCRAFT™ Ready Model for Baby Cry Detection
DEEPCRAFT™ Ready Model for Cough Detection
DEEPCRAFT™ Ready Model for Siren Detection
DEEPCRAFT™ Ready Model for Snore Detection

Radar-based models:
DEEPCRAFT™ Ready Model for Gesture Detection

To access DEEPCRAFT™ Ready Models, you first need to download DEEPCRAFT™ Studio.  You can then download the Ready Models as Studio projects.  

Looking to customize? If you want to adapt the Ready Model to fit your specific needs or use case, you can change the pre-processing, post-processing, add more data, etc.  

Ready to deploy? If you plan to use the Ready Models as they are, you can go straight to code generation, and proceed to deploy your model onto the Infineon hardware of your choice.

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