Asset Summary:
Edge AI design often comes down to making the model practical for the target hardware. Avnet’s new
edge AI resources bring together solution papers, market insights, and supplier partner content to help
design engineers connect model development, optimization and deployment decisions to real system
constraints.
One featured resource is Infineon’s white paper,
Building Edge AI Models for PSOC™ Edge using
DEEPCRAFT™ Studio. The paper outlines how engineers can create, optimize, and deploy edge AI models
using Infineon’s PSOC™ Edge microcontrollers and DEEPCRAFT™ Studio development environment.
In the white paper, engineers will find:
- Entry points for edge AI model creation, including preconfigured accelerators and
bring-your-own-model workflows
- Guidance on data collection, labeling and augmentation
- Model building steps for preprocessing, training and computer vision use cases
- Evaluation methods using DEEPCRAFT™ Studio and Graph UX
- Deployment guidance for PSOC™ Edge using generated code and ModusToolbox™
- Considerations for balancing accuracy, latency, memory and power efficiency
For teams working through model optimization and memory fit, this paper helps show how software
workflow and MCU architecture come together for deployable edge AI.