Linux Category - Page 159 of 597 - CNX Software

December 8, 2021December 8, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

SolidRun unveils Sitara AM6442 SoM, HummingBoard-T AM64x carrier boards

When we first wrote about Texas Instruments AM64x 7-core processor for PLCs, motor drives, industrial robots, we noted SolidRun, TQ Embedded, and PHYTEC were working on system-on-modules based on the processor with availability scheduled for Q4 2021 or Q1 2022. SolidRun has now formally announced two TI Sitara AM6442 systems-on-module – Sitara AM6442R SOM and Sitara AM6442A SOM – as well as HummingBoard-T AM64x Base and Pro carrier boards for evaluation and development. SolidRun Sitara AM6442 SOM Both variants of the module share most of the same specifications: SoC – Texas Instruments Sitara AM6442 7-core processor with 2x Cortex A53 application cores @ 1.0 GHz, 4x Cortex R5 real-time cores @ 800 MHz, 1x Cortex M4 isolated core @ 400 MHz System Memory – 1GB DDR4 with inline ECC Storage 8GB eMMC AM6442A only – Optional QSPI flash Networking AM6442R 1x 10/100/1000 Mbps (PRU ICSSG, Supporting: TSN, EtherCAT, PROFINET, EtherNET/IP) […]

December 8, 2021 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

PicoVoice offline Voice AI engine gets free tier for up to 3 users

PicoVoice offline Voice AI engine has now a free tier that allows people to create custom wake words and voice commands easily for up to three users on any hardware including Raspberry Pi and Arduino boards. I first learned about PicoVoice about a year ago when the offline voice AI engine was showcased on a Raspberry Pi fitted with ReSpeaker 4-mic array to showcase the company’s Porcupine custom wake word engine, and Rhino Speech-to-Intent engine. The demo would support 9 wake words with Alexa, Bumblebee, Computer, Hey Google, Hey Siri, Jarvis, Picovoice, Porcupine, and Terminator. More importantly, the solution allows you to easily create your own custom words in minutes from a web interface by simply typing the selected wake word, with no need for hundreds of voice samples or waiting weeks to get it done. So I tried “Hey You” first, but I was told it was too short, […]

December 7, 2021December 7, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Teledyne FLIR Quartet Jetson TX2 carrier board supports up to four USB 3.0 cameras

Teledyne FLIR Quartet Jetson-TX2 Blackfly S USB3 cameras

There are already plenty of NVIDIA Jetson-based camera solutions from carrier boards to IP67 rugged cameras, but Teledyne FLIR has decided to launch its own with the Quartet carrier board for the Jetson TX2 module. The Quarter board is not designed to work with the thermal cameras the company is known for, but instead FLIR Blackfly S USB3 cameras designed for machine vision. Besides four TF38 USB 3.0 connectors, the carrier board also offers a SATA storage interface, HDMI video output, and extra USB Type-A ports for other peripherals. Teledyne FLIR Quartet (P/N ACC-01-6003) specifications: Supported SoMs – NVIDIA Jetson TX2, Jetson TX2i module Storage – SATA III connector, MicroSD card slot Video Output – 1x HDMI Type-A port up to 4Kp60 Camera Inputs – 4x USB 3.0 TF38 ports Other USB ports – 1x USB 3.0 Type-A port, 1x USB 2.0 Type-A port, 1x micro USB OTG port Misc […]

December 7, 2021June 22, 2022 by Jean-Luc Aufranc (CNXSoft) - 14 Comments

Imagination introduces Catapult RISC-V CPU cores

As expected, Imagination Technologies is giving another try to the CPU IP market with the Catapult RISC-V CPU cores following their previous unsuccessful attempt with the MIPS architecture, notably the Aptiv family. Catapult RISC-V CPUs are/will be available in four distinct families for dynamic microcontrollers, real-time embedded CPUs, high-performance application CPUs, and functionally safe automotive CPUs. The new 32-/64-bit RISC-V cores will be scalable to up to eight asymmetric coherent cores-per cluster, offer a “plethora of customer configurable options”, and support optional custom accelerators. What you won’t see today are block diagrams and detailed technical information about the cores because apparently, all that information is confidential even though some Catapult RISC-V cores are already shipping “in high-performance Imagination automotive GPUs”. The only way to get more details today is to sign an NDA. Having said that we have some more information about the target markets and development tools. Imagination Capapult […]

December 3, 2021December 24, 2021 by Jean-Luc Aufranc (CNXSoft) - 19 Comments

Portable game console runs RetroArch on SigmaStar SSD202D processor

SigmaStar SSD202D “Smart Display” dual-core Cortex-A7 processor has found its way into the MIYOO mini portable game console compatible with RetroArch Linux distribution. Initially designed for industrial smart displays or other HMI applications, we’ve already seen the low-cost Arm Linux processor with 64MB (SSD201) or 128MB (SSD202D) memory has been integrated into a gateway, a single board computer, and M5Stack UnitV2 AI camera devkit, but somehow, it’s now gone into a consumer device. MIYOO mini portable game console specifications: SoC – SigmaStar SSD202D dual-core Cortex-A7 processor @ 1.2 GHz with 2D GPU, 128MB DDR3 (Note: no GPU) Storage – 32GB MicroSD card Display – 2.8-inch IPS screen with 640×480 resolution Audio – 3.5mm audio jack User input – D-PAD, Menu, Select and Start buttons, ABXY buttons, R/R2 and L/L2 buttons at the back USB – 1x USB-C port Misc – Power button, Vibration motor, LEDs Battery – 3.7V/1,900mAh battery good […]

December 3, 2021June 11, 2024 by Jean-Luc Aufranc (CNXSoft) - No Comments

ADLINK LEC-RB5 – A Qualcomm QRB5165 SMARC module designed for drones and robots

ADLINK Technology LEC-RB5 is a SMARC compliant system-on-module powered by the Qualcomm QRB5165 octa-core Cortex-A77 class processor which we’ve already seen in Qualcomm Flight RB5 high-end drone reference design and Lantronix Open-Q 5165RB system-on-module designed for robotics applications. The LEC-RB5 SMARC module ships with up to 8GB PoP LPDDR4 memory, 256GB UFS storage, provides on-device artificial intelligence capabilities (up to 15 TOPS), support for up to 6 cameras, and low power consumption. The main target applications are high-end robots and drones in the consumer, enterprise, defense, industrial, and logistics sectors. LEC-RB5 SMARC SoM specifications: SoC – Qualcomm QRB5165 octa-core Kryo 585 processor with a Kryo Gold Prime @ 2.84 GHz, 3x 3 Kryo Gold @ 2.42 GHz, 4x Kryo Silver @ 1.81 GHz, Adreno 650 GPU @ up to 587 MHz, Video decode HW acceleration for H.265/HEVC, H.264, MPEG2, MVC, VC-1, WMV9, JPEG/MJPEG, VP8, VP9, video encode HW acceleration for […]

December 2, 2021February 28, 2022 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Tribulations with Linux on Zidoo M6 Rockchip RK3566 mini PC

After our review of the Zidoo M6 mini PC with Android 11, we’ve installed Linux on the Rockchip device, and we did boot to a Linux Qt user interface built with buildroot. Let’s try to see what we can do with the image, and then try Ubuntu from a competing mini PC to check out if that can work. Since there’s no package manager to install a screenshooting program, I tried to use the usual method to take a framebuffer screenshot.

cat /dev/fb0 > screen.raw

1	cat /dev/fb0 > screen.raw

It generated an 8MB file which looked good, but the content was just comprised of zeros.

$ ls -lh screen.raw
-rw-r--r-- 1 jaufranc jaufranc 8.0M Nov 13 15:08 screen.raw
$ hexdump screen.raw
0000000 0000 0000 0000 0000 0000 0000 0000 0000
*
07e9000

$ ls -lh screen.raw

-rw-r--r-- 1 jaufranc jaufranc 8.0M Nov 13 15:08 screen.raw

$ hexdump screen.raw

0000000 0000 0000 0000 0000 0000 0000 0000 0000

07e9000

I asked Zidoo for a method to take screenshots in their Linux image, but I was told there weren’t any at this time… No worries, let’s try some of the applications in the Qt interface starting with the Multivideoplayer: It starts well with 9 videos of Big Buck Bunny playing simultaneously, […]

November 30, 2021June 8, 2022 by Sponsored Post - No Comments

Download a free trial of the SoftNeuro Deep Learning SDK for Intel and Arm targets (Sponsored)

Jetson Xavier Tensorflow Lite vs SoftNeuro

Morpho, a global research & development company established in Japan in 2004 and specialized in imaging technology, is now offering a free trial for the SoftNeuro deep learning SDK working on Intel processors with AVX2 SIMD extensions, 64-bit Arm targets, while also leveraging OpenCL and/or CUDA. Some of the advantages of SoftNeuro are that the framework is easy to use even for those without any knowledge about deep learning, it’s fast thanks to the separation of the layers and their execution patterns, and it can run on several different hardware and OS being cross-platform. SoftNeuro relies on its own storage format (DNN format) to deliver the above advantages. But you can still use models trained with any mainstream deep learning framework. TensorFlow and Keras models can be directly converted to the DNN format, while models from other frameworks can be converted first to the ONNX format and then to the […]