Eagle-Lanner tech blog

 

5G together with edge computing, has the ability to timely handle, process, and analyze large amount of data, which leverages the full potential of advanced technologies such as autonomous vehicles, and the Internet of Things (IoT). Autonomous vehicles will change the experience of riding in cars, making it more pleasant, less stressful and more productive.

In the past few years, electrical substations have become a primary target for cyberattacks. In fact, it is believed that power facilities are targets for modern cyber warfare.

A multiprocessing architecture called Non-Uniform Memory Access (NUMA) was introduced that simplified the complexity of the bus by configuring clusters and allow microprocessors to share memory locally, thus improving performance and expandability of the system.

Smart rail solutions have propelled urban rail and metro networks into the digital age, and uninterrupted connectivity is becoming especially essential for the public transportation sector. Reliable train-to-ground communication is required for efficient on-board operations and many on-board applications, which also continues to increase.  

Smart city projects can integrate a wide number of newly available endpoints from IoT, IIoT, sensors, video cameras, monitors, or actuators at the network edge or branch office, and collect a massive amount of rich data. But what is the value of this data, if it can’t be transported when needed?

As more and more businesses embrace cloud computing technology, and migrate to the cloud, there remain concerns around privacy and data security. Data is encrypted when it’s at rest or in transit, but applications need access to data in an unencrypted form while it is processing. Confidential computing aims to eliminate this data security vulnerability by protecting data while it’s in use.

It was around the 1990s that Machine Vision (MV) started to become a practical reality in the industry, especially within manufacturing environments. The advancements in other indirect technologies, from enhanced lighting, intelligent imaging systems, sensing, control, and especially computing, have helped MV systems transform into a practical reality.

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