Today at 10:00 AM, live broadcast with prizes: The best assistant in human-machine interaction interface and machine vision applications—Renesas Electronics

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Today at 10:00 AM, live broadcast with prizes: The best assistant in human-machine interaction interface and machine vision applications—Renesas Electronics [Copy link]

Today at 10:00 AM, live broadcast with prizes: The best assistant in human-machine interaction interface and machine vision applications—Renesas Electronics

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Live broadcast time: July 15, 10:00-11:30 am

Live Topic:
The best assistant for human-machine interaction interface and machine vision applications
- Renesas Electronics RZ/G, RZ/A and RZ/V SoC series

Live broadcast introduction:

Human-computer interaction and machine vision are two very popular points in the current market. They can be applied in many scenarios such as smart home, industrial control, building automation, etc. At present, 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 the processing and recognition of high-definition images.
In response to these pain points, Renesas Electronics has launched 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, it can be controlled by software. Its computing rules greatly improve the flexibility of hardware computing resources. Overall, these two technologies of Renesas Electronics can provide high performance while ensuring excellent cost performance. They must be your only choice in human-computer interaction and machine vision.

Lecturer Introduction:

Zhao Feng
Application Engineer of Renesas Electronics MPU Product Division
Focused 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 Capacitor", participated in the development of multiple projects such as "License Plate Recognition" and "Camera Gesture Recognition", as well as the development of DRP library. He has rich experience in e-AI project development, is proficient in the development skills of DRP library, and is good at streamlining and debugging AI models.

Tan Zhenhua
Avnet Engineering Deputy 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 Gifts:

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