Today's Renesas Electronics Award Live Broadcast | The best assistant in human-computer interaction interface and machine vision applications

Latest update time：2020-07-15

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Human-computer interaction and machine vision are two hot topics in the current market. They are applicable to many scenarios such as smart home, industrial control, and building automation. Currently, the solutions for these two fields in the market are inseparable from AI control and image processing. However, AI control requires cloud support and has high requirements for the device network environment. Ordinary CPUs are also stretched in terms of processing and recognition of high-definition images.

In response to these pain points, Renesas Electronics has launched its unique e-AI technology and DRP technology, which can perfectly solve these two major problems. e-AI technology can put aside the troubles of the cloud and complete the AI inference process locally on the device, reducing environmental requirements and improving computing efficiency; DRP technology is a hardware-level computing module. Unlike FPGA, its computing rules can be controlled by software, greatly improving the flexibility of hardware computing resources. Overall, these two technologies of Renesas Electronics can provide high performance while ensuring excellent cost-effectiveness, and must be your best choice in human-computer interaction and machine vision.

Live broadcast time

July 15 (Today) 10:00-11:30 am

Live Topic

Renesas
Electronics RZ/G, RZ/A and RZ/V SoC Series

How to watch

Long press the QR code below and fill in the information to watch the live broadcast

Live broadcast outline

• Introduction to Renesas Electronics MPU Series

• Introduction to DRP (Dynamically Reconfigurable Processor) technology

• RZ/G, RZ/V series MPU introduction

• RZ/A2M Barcode Scanner Demo

Live Guests

Zhao Feng

Application Engineer, MPU Product Division, Renesas Electronics

Focus on the technical development of human-computer interaction and e-AI. He has developed the case of "Low-cost gesture recognition development based on electrostatic capacitance", participated in the development of multiple projects such as "License Plate Recognition" and "Camera Gesture Recognition", and developed the DRP library. He has rich experience in e-AI project development, is proficient in the development skills of the DRP library, and is good at streamlining and debugging AI models.

Tan Zhenhua

Avnet Engineering Associate Director

He has 16 years of experience in system solution design and has a deep automotive and industrial technology background. Terry is responsible for the following businesses:
Design and promotion of automotive solutions, including smart cockpits, gateways, domain controllers, ADAS, and vehicle camera modules.
Design and promotion of industrial solutions, including HMI, robotics, IoT, cloud computing, and machine learning.

Live broadcast prizes