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AMD Ryzen™ based congatec COM Express mo

congatec SMARC 2.1 modules with NXP i.MX 8M Plus processor
Low power flagship for embedded vision and AI

congatec – a leading vendor of embedded and edge computing technology – presents its brand new low power SMARC 2.1 Computer-on-Modules with NXP i.MX 8M Plus processor for industrial edge analytics, embedded vision and artificial intelligence (AI) at embedded world 2021 DIGITAL. With its machine and deep learning capabilities, the new ultra low power conga-SMX8-Plus module allows industrial embedded systems to see and analyze their surroundings for situational awareness, visual inspection, identification, surveillance and tracking as well as gesture-based contactless machine operation and augmented reality.

Technical highlights of the Arm Cortex-A53 based quad-core processor platform include the integrated neural processing unit (NPU) for AI computational power, and the image signal processor (ISP) for parallel real-time processing of high resolution images and video streams from the two integrated MIPI-CSI camera interfaces. The extensive ecosystem of this new SMARC module – such as application-ready 3.5-inch carrier boards as well as Basler camera and AI software stack support – complements the product launch for a fast proof of concept. Vertical markets for these credit card sized low power vision and AI modules can be found anywhere from smart farming and industrial manufacturing to retail, and from transportation to smart cities and smart buildings. 

“If engineers leverage the rich and highly efficient feature set of the new SMARC modules along with our extensive ecosystem and implement further application-specific functions via PCIe Gen 3 as well as 2x USB 3.0 and 2x SDIO, they have a highly reliable and robust 2-6 Watt low power platform for vision and AI. Depending on the variant, the new modules can even be used in the extended temperature range of -40°C to 85°C,” explains Martin Danzer, Director Product Management at congatec.

With its various specialized processing units, the new i.MX 8M Plus processor based SMARC module from congatec enables impressively responsive embedded vision and AI applications with an extremely low power envelope. Advantages include:

  • The NPU adds 2.3 TOPS of dedicated AI computational power to the four powerful multi-purpose Arm Cortex-A53 processor cores.
  • The integrated ISP processes full HD video streams with up to 3x 60 frames per second for video enhancement.
  • The high-quality DSP enables local speech recognition without any cloud connection.
  • The Cortex-M7, which can also be used as a fail-safe unit, provides real-time control together with a time synchronized networking capable Ethernet port.
  • Next to an encryption module (CAAM) for hardware-accelerated ECC and RSA encryption, the Arm TrustZone also integrates the Resource Domain Controller (RDC) for isolated execution of critical software, and the secure High Assurance Boot mode to prevent the execution of unauthorized software during boot.

The feature set in detail

The new SMARC 2.1 modules for vision and AI applications feature four quad-core Arm Cortex-A53 based NXP i.MX 8M Plus processors for the industrial (0°C to +60°C) or extended temperature ranges (-40°C to +85°C) as well as in-line ECC for up to 6 GB LPDDR4 memory. The modules can drive up to three independent displays and provide hardware accelerated video decoding and encoding including H.265 so that high resolution camera streams delivered by two integrated MIPI-CSI interfaces can be sent directly to the network. For data storage, engineers will find onboard up to 128 GB eMMC, which can also operate in safe pSLC mode. Peripheral interfaces include 1x PCIe Gen 3, 2x USB 3.0, 3x USB 2.0, 4x UART as well as 2x CAN FD and 14x GPIO. For real-time networking, the module offers 1x Gbit with TSN support plus conventional Gbit Ethernet. An optional M.2 WiFi and Bluetooth LE card soldered on the module adds wireless connectivity. 2x I2S for sound rounds off the feature set. The supported operating systems include Linux, Yocto 2.0 and Android.

Further information on the new congatec SMARC Computer-on-Module conga-SMX8-Plus can be found at:
https://www.congatec.com/en/products/smarc/conga-smx8-plus/

To see congatec’s complete i.MX 8 portfolio, please visit www.congatec.com/imx8

2021050201 / 02.05.2021 / Embedded / congatec AG /

congatec presents new SMARC modules on the basis of the NXP i.MX 95 processor series
congatec modules set new benchmarks for secure edge AI applications

congatec COM-HPC Client modules with latest socketed Intel Core processors set performance record
Bringing a refreshing performance boost to the edge

congatec launches COM Express Compact module with brand new Intel® Core™ Ultra processors
Next-generation AI computing for the edge

congatec launches new ultra-rugged 13th Gen Intel Core Computer-on-Modules with soldered RAM
Shock and vibration resistant for harsh environments

congatec takes over sales of Real-Time Systems’ products
The target: holistic consolidation and digitization offerings

congatec welcomes ratification of COM-HPC 1.2 specification, introducing COM-HPC Mini
Maximum performance for mini footprints

congatec introduces new SMARC modules with TI Jacinto™ 7 TDA4x or DRA8x processors
High-end edge AI and vision processing in ultra-low power envelop

congatec COM Express modules receive IEC-60068 railway certification
Proven shock and vibration resistant for harsh environments

congatec adds TI processors to its strategic solutions portfolio
Building a high-performance ecosystem for Arm based SMARC modules

congatec and Kontron conclude joint COM-HPC evaluation carrier board standardization agreement
The goals: Reduce NRE costs, accelerate time-to-market, and improve product & supply security

Solution platforms for high-performance engineering
congatec will be presenting its enhanced high-performance landscape for edge computing at Automation World Korea (hall C, booth 534).

congatec introduces a new carrier board design training program
Accelerating knowledge transfer

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NeoCortec

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