Neousys' Nuvo-11000 Series Intel Core Ultra-200S Rugged Fanless Embedded Computers
Neousys POC Series Ultra-compact DIN-Rail Fanless Computer

Ultra-Compact DIN-Rail Embedded Computer

RUGGED 600W NVIDIA GPU COMPUTER

Supports NVIDIA® Blackwell GPU & Intel® 14-Gen CPU

RUGGED 600W NVIDIA GPU COMPUTER

Neousys NVIDIA Jetson™ Computers

Neousys NVIDIA Jetson™ Computers

POC series Intel Alder Lake i3-N305 Ultra-compact Embedded Computers
Neousys AI THINK TANK
Fanless In-vehicle Computers with E-Mark Certification
Compact & Wide-Temperature GPU Computing Platform with NVIDIA GTX 1050
Fanless In-vehicle Computers with E-Mark Certification
Wide-temp | Rich I/O connectivity | Ignition power control
The highly integrated vision I/O system computer - copy
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Intel® 14th/ 13th/ 12th-Gen Core™ i9 /i7 /i5 /i3 Rugged Embedded Computer
Rugged, EN50155 Certificated Fanless Railway Computer
IP69K/IP67/IP66 Extreme Rugged Embedded Computer
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The March Towards Industry 4.0 - Machine Learning and Smart Factory Forum

The March Towards Industry 4.0 - Machine Learning and Smart Factory Forum

, Taipei, Taiwan

Innovative technologies such as Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized the global industrial development.

Traditionally, machine vision has been applied to pattern defect identification but is confined to visual inspection software that required engineers with sound programming capabilities. However it is known that oil stains may disrupt machine vision pattern identification while the other downside of machine vision technology was the training of personnel when software and or hardware are upgraded and they had to be re-trained.

The time to fully implement Machine Learning (ML) has never been better to solve problems mentioned above. ML can pave the way for new applications, AI industrial manufacturing, effectively minimize assembly defect rates, etc.

As a global supplier of rugged embedded systems, Neousys Technology, together with Epson Taiwan and Machine Learning experts - Sure Technology Corporation, URVISION and Illumin; share their ML implementation experiences. They include Machine Vision applications into embedded systems, robotics, software and the implementation of Machine Learning. How to improve the overall industrial quality, profit and the march towards Industry 4.0 (AI manufacturing) will also be discussed at the seminar.

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