Embedded Artificial Intelligence - Machine Learning | EBV Elektronik

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Renesas Webinar: Embedded Artificial Intelligence / Machine Learning

16 Jun 2020 - 16 Jun 2021

Online, On Demand

Embedded Artificial Intelligence / Machine Learning

Technical Seminar: e-AI / ML Considerations and Design examples for Embedded Developers

presented by Renesas, Witekio & EBV Elektronik

Presented by EBV, Witekio and Renesas AI/ML Technology Specialists this technical workshop will cover Convolutional Neural Networks Theory, practical embedded design considerations, Renesas e-AI RZ/A2M MPU details, e-AI design flow example and Vehicle Number Plate recognition demo implementation running on the RZ evaluation board.

EBV Elektonik is one of the leading specialists in European semiconductor distribution.
EBV are adding value at all stages of our customers' supply chains: Starting with in-depth design expertise and application know-how through value-added services right up to full logistics solutions

Witekio, embedded systems and IoT expert
Specializing in software for the embedded system and IoT objects, Witekio are the co-pilots of your innovation projects

The RZ/A2M MPU is designed for e-AI based imaging in smart appliances, networked cameras, service robots, scanner products, and industrial machinery that require high-speed image processing. It features a unique hybrid approach to image recognition and machine vision by combining proprietary DRP technology for fast pre-processing of image data and feature extraction, closely coupled to an Arm® Cortex®-A9 CPU.



Convolutional Neural Networks (CNN) for data classification
  • Brief history of Artificial Neural Networks
  • Machine Learning, data and tools
  • Linear Classification
  • Neurons & Activation Functions
  • Feedforward, Backpropagation
  • Convolutions & Kernels
  • CNN Building Blocks
  • CNN: LeNet, AlexNet and VGGNet
  • CNN: InceptionNet and ResNet
  • CNN: classification & object detection
  • Books, Docs and Web resources
Witekio insights into IoT Edge Computing
Introduction and overview of Renesas’ RZ-A family
  • RZ/A roadmap
  • RZ/A2M block diagram
    eAI example flow for RZ/A2M using DRP technology
  • data (image) pre-processing flow
  • concept of DRP
  • supported DRP libraries for image processing
    implementation of a neural network
  • training data preparation
  • setup of a Convolutional Neural Network
  • e-AI translator
  • Demo: Number plate detection (RZ/A2M)
RZ/G overview and roadmap 
  • ECC to reduce soft errors
  • Verified Linux Package
  • RZ/G AI Board Support Package (BSP)
  • Demo: RZ-G Foss AI object detection demo

Outlook for DRP-AI

  • Renesas eAI Roadmap
  • Demo: POC1.1 with DRP-AI


Register now

Embedded Artificial Intelligence - Machine Learning | EBV Elektronik

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