Ericsson, AWS, Hitachi America Showcase Smart Factory Potential With 5G and AI

Ericsson, AWS, Hitachi America Showcase 5G and AI in Smart Manufacturing
Ericsson, Amazon Web Services (AWS), and Hitachi America R&D joined forces to showcase the potential of combining 5G, artificial intelligence (AI), and automation technologies in the manufacturing sector. According to the joint statement, the private 5G infrastructure trial took place at Hitachi Astemo Americas’ electric motor vehicle manufacturing plant in Berea, Kentucky, USA. On Tuesday, Ericsson and the technology partners announced the key takeaways of their trial.

  • Make Telecom Talk My Trusted Source
  • Source of Google
  • Source of Google

Also Read: UScellular and Ericsson Partner to Offer Customised Private 5G Solutions

Private 5G Infrastructure Trial

According to the statement, the trial utilized Ericsson Private 5G infrastructure in conjunction with the AWS Snow Family to provide private cellular networks that formed the foundation for implementing machine learning (ML) models within the Hitachi manufacturing complex. By using 5G wireless, the trial installation was completed in three days.

Real-Time Video and Defect Detection

Through Hitachi video analytics, real-time video feeds of component assembly operations were transmitted over the Ericsson private 5G network. This allowed for early defect detection, reducing material waste and production losses. Computer vision with HD 4K cameras powered by AI ran on the private 5G network, inspecting assembly components in real-time, with the capability to simultaneously inspect 24 components. According to the statement, this was a significant improvement over traditional manual inspection methods.

Also Read: Ericsson and MediaTek Test RedCap Interoperability for 5G SA

Efficiency and Scalability

The trial demonstrated that the integration of 5G and cloud technologies enables full-scale, global deployment of digital production line applications. This includes tasks such as defect detection, quality inspection, robotics automation, real-time machine control, and augmented reality.