Apps & Software

Examples of Where Embedded Computers are Used

Everywhere you look, you’ll see computer systems that have been embedded. The kiosk machines that line the walls of a supermarket are almost certainly powered by embedded computers if you have ever seen them. All you need to know about embedded PCs and computers, as well as where you can acquire them, is covered in this piece.

Is It Possible to Build an Embedded PC?

It is common to describe an embedded computer as a specialized computer system that is integrated into a piece of larger equipment or system, according to Ecrin systems. These computers are designed to execute certain tasks, such as running an application. There are many of the same components in embedded computers as there are in ordinary desktop computers. CPU, GPU, RAM, and storage devices all fall within this category. Although embedded systems use industrial-grade components, the fundamental difference is that embedded systems are designed to tolerate rigorous operating circumstances.

Most of our daily life is now surrounded by embedded computers; they can be found in anything from automobiles to automated production lines to home and office security and surveillance systems, among many other things. Is there anything more we should know about embedded computers before we get started? All of these questions will be answered in the following parts.

SoC (system-on-chip) embedded PCs have the CPU, GPU, chipset, and I/Os all incorporated onto a single silicon substrate. There are two primary kinds of embedded computers. Another kind of computer is one with components such as the CPU and GPU located on the motherboard itself for increased performance.

Socket PCs are often more powerful and customizable than SoCs. As entry-level tasks become more complex and resource-intensive, low-power SoCs become more prevalent. Nonetheless, both SoC and Socket PCs are designed for specialized industrial workloads, such as industrial automation & control, autonomous cars, IoT gateways, medical imaging, kiosk machines, smart vending machines, and digital signage.

Computers in difficult locations like outdoor digital signs and manufacturing floors with a lot of trash are frequently designed and engineered to be durable. To put it another way, they must be able to handle a deployment under such difficult conditions. Since they are constructed to survive frequent vibration, shock, dust, and humidity as well as high and low temperatures, rugged embedded PCs are a popular choice for harsh environments.

Embedded computers may be used in both indoor and outdoor locations where temperatures can fall as low as -400C and rise as high as 850C.

What Makes Up An Embedded Computer’s Main Parts?

In order to build embedded PCs, the following components are used:

CPU is at the top of the list (Processor)

The CPU (often referred to as a processor) is the primary component of embedded computers. A computer’s computations are handled by the central processing unit (CPU). You should think about how much processing power you need while selecting a solution. Select a low-power, efficient SoC option like the Intel® Celeron J1900 if you want your machine to execute basic tasks, such as browsing the Internet. For challenging industrial tasks, you should go with a socket solution since they may be customized with powerful Intel® Core i3, i5, and i7 processors, which are commonly found in socket solutions. If you choose to employ a SoC solution or a socket solution, both may be passively cooled, which means that the system can be deployed in difficult locations.

Embedded PC costs are sometimes cut by skimping on processing power, however this results in poor performance and a consequent slowdown of an organization’s operations. You should thus always set up a system with the correct CPU. Our embedded computing experts are here to help you choose the optimal CPU for your individual application.

Boost Your Rugged Edge With These Performance Accelerators #2

To speed up artificial intelligence (AI), machine learning (ML), and deep learning (DL) workloads, these performance accelerators may be applied to embedded computers.

Graphics Processing Units (GPUs) (Graphics Processing Units)

Embedded PCs may benefit from GPUs to boost their performance in certain applications. GPUs, for example, are capable of processing and manipulating far bigger chunks of data than CPUs, allowing them to accelerate AI and ML tasks. When it comes to artificial intelligence (AI) tasks, a GPU is more efficient than a CPU due to the fact that it has a far larger number of cores than a CPU, enabling it to execute parallel processing rather than sequential calculation. Autonomous cars and medical imaging are only two of the many uses for graphics processing units (GPU). embedded solutions at the edge can handle mission-critical data in real time and with minimal latency since they are installed near to the data generating source.

VPUs (computer processors) (Vision Processing Units)

It is also possible to use embedded computers with VPUs in order to speed up image processing tasks such as machine vision and artificial intelligence (AI). VPUs use less power than a GPU to execute the same tasks that would normally be handled by the CPU, instead employing the VPU itself to handle the burden. Near data performance accelerators are becoming more popular as the need for edge computing and machine intelligence grows.

FPGAs C (Field Programmable Gate Arrays)

This kind of integrated circuit, known as an FPGA, may be reprogrammed at any time. Because of their capacity to speed up AI, ML, and DL workloads, FPGAs are often included in embedded computers. Furthermore, they outperform GPUs in terms of performance, allowing an organization’s AI process to move much faster while consuming less power. Using FPGAs in computer systems is advantageous because of their programmability in a wide range of markets.

Computational Storage Devices with NVMe Interface (CSDs)

Additionally, NVMe computational storage may be added to embedded systems in order to speed up specific tasks. It is possible to do data processing at the storage device level thanks to computational storage. Reduces the quantity of data that must be transported between the storage device and the compute plane. Data-intensive tasks may therefore be increased greatly by reducing the storage-to-processor barrier using CSDs.


Most embedded computers need memory (RAM) as well. RAM, or random access memory, is a kind of memory used to store data that a computer’s processor requires immediately. After loading data into the RAM, the computer is able to rapidly access the information it needs. Unlike SSDs and other storage devices, RAM is significantly faster. Faster and more responsive performance is often associated with greater amounts of RAM installed on a computer or mobile device. When numerous apps are operating at the same time, the more RAM the system has, the better it runs.

Having more RAM makes a device speedier because it can access data from the hard disk or solid-state drive much quicker. As a result, RAM is a “volatile” kind of memory, which means that when the system is shut down, the data stored in it is erased. In terms of performance, this is the most important difference between SSDs and HDDs and RAM memory. Long-term storage is provided by SSDs and HDDs, whereas short-term storage is provided by RAM.

Storage is the fourth item on the list.

Storage is the third common component of an embedded system. HDDs (hard drives), SSDs (solid-state drives), or M.2 NVMe SSDs are often used to store data in embedded devices. You can use NVMe SSDs to construct an embedded computer with data read rates of up to 3,500 MB/s and read speeds of up to 2,500 MB.

However, it is still possible to construct a system with both SSDs and HDDs. There are certain firms that choose regular SSDs over NVMe solutions since they are less costly and provide more storage capacity. NAND chips in SSDs allow them to read and write data at a considerably quicker rate than standard HDDs, making them much faster than traditional HDDs.

Due to the fact that hard drives can store enormous amounts of data at a reasonable price, they are still utilized by certain clients. For this reason, hard drives remain the most cost-effective storage option for embedded devices used by enterprises that need to store large volumes of data. As a result, the biggest quantity of data storage can only be obtained via hard drives by enterprises. SSDs have increased in size, but hard drives still provide the greatest storage capacity at the most affordable price point.

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