Hardware Pioneers 2024 - Realising AI at the Edge - Arrow

Dive into the 5 key steps to achieving AI at the Edge in this comprehensive video by a Technology Leader at Arrow, covering insights into Data Engineering, Model Training, Optimization, Deployment, and Monitoring.


How are AI vision systems transforming industries?

Discover the transformative power of AI vision systems in various industries. Explore real-life applications and learn why connectivity is crucial for their success.

Watch our Tech Snack to delve deeper into how AI is reshaping industries with its machine learning and machine vision capabilities, and how Molex solutions are facilitating these advancements.


 

 


5-step Edge AI Development Flow

Data Engineering

Specify, collect, clean and prepare data for model training

 

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  • Data Collection
  • Data Cleaning
  • Data Transformation
  • Data Integration
  • Data labelling

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Model Training

Selecting and training the model

 

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  • Algorithm and feature selection
  • Selection of model architecture from standard models
  • Train the model
  • Evaluation and testing

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Model Optimization

Simplifying and optimizing the model

 

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  • Optimization model for MCU, MPU devices
  • Quantization, pruning Improvements display, profiling the model
  • Usage of  different optimization stacks  

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Deployment

Deploying the model onto the HW platform

 

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  • Deployment and verification of model speed, footprint, accuracy
  • Comparison against different suppliers, platforms

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Monitoring

Testing and monitoring

 

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  • Machine Learning Ops and maintenance
  • Model and data drift, accuracy monitoring  

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