Building Edge AI Models for PSOC™ Edge using DEEPCRAFT™ Studio

TOPICS COVERED

Edge AI Model Development
Data Collection and ML-Assisted Labeling
Model Preprocessing, Training, and Optimization
Computer Vision and Sensor-Based Machine Learning
Real-Time Model Evaluation
AI Model Deployment on Microcontrollers

Overview

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.

Download now to explore the full development path from model creation through on-device deployment.

Thank You For Your Interest

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