Artificial intelligence, edge, and cloud computing make factory automation and Industry 4.0 smart manufacturing possible. These technologies can help manufacturers optimize production processes based on structured and unstructured data, analyze them, and share them across the entire ecosystem. However, all these cloud technologies must be rooted in every sensor, machine, test, and monitoring equipment. One of the keys to building a smart factory is to connect these sensors and devices, collect meaningful data, and provide necessary feedback to these devices. In this webinar, we will cover the following topics. - Agenda: 1.Smart factory ecosystem: sensor, edge device, hub/ gateway, and cloud ● Data collection ● Machine learning and artificial intelligence ● Feedback 2.IIoT node ● Dependency with cloud ● IIoT hardware and software architectures ● Case study 3.Nuvoton IIoT solutions - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC buy now: https://direct.nuvoton.com/ contact us: SalesSupport@nuvoton.com

To build an IoT application, you need sensing devices, hubs or gateway, and secure network connection to cloud to process data. Nuvoton NuMaker platforms integrate essential features for customers to build IoT applications for various scenario. The short video briefly introduces the inside of Nuvoton NuMaker platforms. - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC buy now: https://direct.nuvoton.com contact us: SalesSupport@nuvoton.com

Show how Nu-Link2-Pro uses ICP Programming Tool on PC to program ISP Bootloader to LDROM, and then use Nu-Link2-Pro Bridge I2C interface with ISP Programming Tool to upgrade the firmware of the target chip. #en #Tool #Training #Intermediate #Learning - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC Buy now: https://direct.nuvoton.com/ Contact us: https://www.nuvoton.com/support/technical-support/form/ Follow us on LinkedIn: https://www.linkedin.com/company/nuvoton-technology-corporation/

Nuvoton announced the latest ML51/ML54/ML56 microcontroller, built-in capacitive touch sensing, LCD driver highly integrated low power platform. Based on 1T 8051 core, running up to 24MHz, the power consumption in normal run mode is 80uA/MHz, lower than 1uA in power down mode the power consumption while power down with LCD on is lower than 20uA. 0:00 intro 0:37 NuMicro 8051 Microcontroller 1:38 ML51/ML54/ML56 Product Portfolio 2:18 ML51/ML54/ML56 Features 3:27 Broad Scalability 4:05 Provide 4 Different Power Modes 4:44 LCD Driver Feature 5:52 Touch Key Features 7:05 Target Applications #Product #Learning #Basic #en #ML51 #ML54 #ML56 #8051 #LowPower #LCD-Driver #HumanMachineInterface #HMI #TouchKey-IC #HomeAppliance #EmbeddedWorld2022 - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC Buy now: https://direct.nuvoton.com Contact us: SalesSupport@nuvoton.com

Developing IoT devices can be a painful process. In this webinar, you will learn how to develop an IoT enabled device quickly and easily with Nuvoton IoT platforms. We will cover IoT device system architectures, security consideration, development kits for different cloud services, and the latest practices to bring your IoT products time to market quickly. Speaker: UE00 Senior Product Marketing Manager, Harry Chen - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC Buy now: https://bit.ly/3bk0AD8 Contact us: SalesSupport@nuvoton.com #Product #Application #Webinar #General #en

The rich features of NuMaker IoT platforms have been certified by several RTOS and clouds. In this video, we introduce the NuMaker-IoT-M487 development board, supported OS and clouds, and an IoT demonstration. #Application #Learning #Basic #en - For more information, please visit Nuvoton Technology Website: https://bit.ly/3hVdcmC buy now: https://direct.nuvoton.com contact us: SalesSupport@nuvoton.com

Voice controlled electronic devices have become a popular trend. The advantage is that electronic devices can be controlled without hands. For this scheme, we use Google TensorFlow as the algorithm development environment of speech recognition for deep learning. Then we implement speech recognition on NuMaker-PFM-M487 platform, and realize an offline and instant speech recognition system by Keyword Spotting. Nuvoton Website: www.nuvoton.com