Embedded Technology
Processor performance The Pico-ITX offers many options for diverse levels of processor performance combined with its strong expansion capability. It provides a highly capable, but no less flexible and versatile embedded computing platform. The processor of choice and power efficiency can be determined by the image capture performance and data throughput required, although naturally, this will vary across industry applications.
CIE-NOV21-CUPIO:CIE-NOV21-CUPIO 16/11/2021 09:40 Page 1
Expansion and peripheral support A number of expansion modules are available that operate as dedicated hardware accelerators supporting parallel computing. The Intel Movidious VPU (Vision Processing Unit), for example, can be added when serial computing performance is inadequate for processor intensive vision-based applications. The Pico-ITX board also offers a wealth of peripheral functionality to support on-board memory and SATAIII storage. The provision of dual LAN ports, USB interface connections, serial port headers, general purpose I/O, I²C and SMBUS serial communications interfaces can aid integration in a stand-alone
Reduced reliance on the cloud
With ever increasing processing power now available in embedded computing platforms, machine vision systems can also benefit from having a reduced reliance on external servers or cloud computing platforms. Data throughput and security can be enhanced, with bandwidth and latency reduced, by performing image processing in close proximity to image sensors.
embedded machine vision system. Support for external displays with resolutions of up to 4K is catered for with Embedded DisplayPort (eDP) and HDMI 2.0 outputs.
Compact dimensions Although other compact SBC form factors exist, such as the 1.8-inch Femto-ITX, which features dimensions
of just 55mm x 84mm, this format has not yet seen widespread adoption as an industry-standard to date. With external mechanical dimensions of 72mm x 100mm, the Pico-ITX form factor is currently the smallest, mainstream industry-standard SBC which can be readily and easily employed in remote, confined spaces.
Continuing evolution The continuing development of embedded computing and imaging technology is leading to the increased use and installation of machine vision systems across a wide range of industries and applications. With the correct implementation and integration of embedded computing hardware, enhanced productivity and the delivery of fast, effective data analytics can be successfully realised.
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