TECH FOCUS: EMBEDDED VISION BitFlowFeatured product
components, as well as those aiming to develop new vision sensor products. Available from MVTec
Software is a plugin for Intel’s OpenVino toolkit. Tis will enable users of MVTec software products to benefit from AI accelerator hardware that is compatible with OpenVino. Te toolkit from MVTec is based on the Halcon AI accelerator interface - supported AI accelerator hardware can be used for the inference part of deep learning applications. Te AMD Xilinx Kria
BitFlow’s latest in CoaXPress: The Claxon- CXP
CXP-12 is the latest CXP standard, now transmitting video at 12.5 Gb/s. While the speed of data through the frame grabber has doubled, the overall architecture has remained the same as the previous generation Cyton. This allows users to easily migrate to the newer
g
a camera board, a mini-SAS cable to connect the camera to the NXP
i.MX 8M’s CSI port and all the required software to stream images. Te kit is plug- and-play, including firmware optimised for most of V4L2 camera functions. Te German firm Phytec
also concentrates on NXP solutions for its embedded vision offerings. It has 26 years’ experience building solutions. Other new embedded
cameras include the Nicla Vision 2-megapixel camera from Arduino. It measures 22.86 x 22.86mm, has a powerful dual processor and is compatible with Portenta and MKR components. It integrates with OpenMV, supports MicroPython and features wifi and Bluetooth low-energy connectivity. E-con Systems’ latest
launch is the See3Cam_ CU135M, a 13-megapixel
cameras without major software changes. The Claxon-CXP4 is a quad CXP-12 PCIe Gen 3 frame grabber. It supports multi- link CXP-12 cameras of up to four links. The Claxon CXP4-V (shown here) is designed for small form factor PCs with little to no airflow. More information www.
bitflow.com/products/ coaxpress/claxon- cxp4-v/
monochrome USB 3.1 gen 1 camera. It is based on the 1/3.2-inch AR1335 monochrome CMOS image sensor from Onsemi. Tis camera comes with an auto- exposure feature; an absence of colour filter arrays results in high quantum efficiency in both visible and near infrared regions, compared to cameras with RGB colour filters. On the software side, Irida
Labs recently launched PerCV. ai, a software and services platform that supports the full vision-AI product lifecycle.
PerCV.ai integrates machine learning models for people, vehicles, or any type of object detection together with vision system design, data management and deployment tools for on-device intelligence. Te platform is suitable for companies looking for a vision application-as- a-service using COTS HW
28 IMAGING AND MACHINE VISION EUROPE APRIL/MAY 2022
system-on-module portfolio, was launched last year. First to market was the Kria K26, specifically targeting vision AI applications in smart cities and factories. Te Kria K26 SoM has 1.4 tera-ops of AI compute and is built on top of the Zynq UltraScale+ MPSoC architecture, featuring a quad-core Arm Cortex A53 processor, more than 250,000 logic cells and a H.264/265 video codec. Te SoM also features 4GB of DDR4 memory and 245 IOs for connecting to virtually any sensor or interface. Following the above launch,
Pinnacle Imaging Systems announced it would offer its Denali 3.0 HDR ISP with a new HDR sensor module for the Kria K26 SoM and KV260 vision AI starter kit. Pinnacle Imaging also offer an IAS HDR sensor module paired with and tuned for the KV260 vision AI starter kit. Tis sensor module is based on the On Semiconductor AR0239 CMOS imager, capable of capturing up to 120dB/20EV of dynamic range at 1080p/30 full HD resolution. Like Pinnacle, Hema
Electronic integrated AMD Xilinx Kria SoMs into its embedded vision platform, adding modules specifically designed for use in areas such as machine vision and smart cities. Vendors of embedded
computing kits include Gidel with their FantoVision 20, a small and robust embedded
computer tailored for high- throughput image acquisition and processing. It allows image processing, compression and recording of video streams with up to 20Gb/s in real time. Its architecture combines an Nvidia Jetson Xavier NX embedded computer with an Intel Arria 10 FPGA for frame grabbing with real-time AI and image processing. Te Cincoze Gold series
is a range of GPU computers designed to meet the needs of large-scale image processing, machine vision and machine learning applications in AIoT. Te series includes the GP- 3000 and GM-1000, providing a range of sizes, performance, I/O and functionality. Advantech offers a series
of solutions for embedded computing powered by Nvidia GPUs. Built on the Nvidia Ampere architecture, the latest Sky-MXM-A2000 is an industrial-grade GPU- accelerated solution designed to deliver the latest RTX technology. It features real- time ray tracing, accelerated AI, advanced graphics and high-performance computing capabilities. Finally, Congatec offers
12th-generation Intel Core mobile and desktop processors (formerly Alder Lake) on 10 of its COM-HPC and COM Express computer-on- modules. COM Express type six form factors and the modules in COM-HPC size A and C provide major performance gains and improvements based on Intel’s performance hybrid architecture. Te company also recently extended its
i.MX 8 ecosystem with a new starter set for AI accelerated embedded vision applications. Te new set contains an entire ecosystem for developers to start designing applications. At its heart is the Smarc 2.1 computer-on-module Conga- SMX8-Plus.
Tis is not an exhaustive
list. If you provide embedded vision products and would like your company to be included, please email
editor.imaging@
europascience.com.
@imveurope |
www.imveurope.com
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