Sophon BM1684 BM1684X Edge AI computer
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SOPHON BM1684/BM1684X Edge AI computer delivers up to 32 TOPS, decodes up to 32 Full HD videos simultaneously

Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD are nearly identical Edge AI embedded computers based on respectively SOPHON BM1684 and BM1684X Arm AI SoC delivering up to 32 TOPS of AI inference, and capable of decoding up to 32 H.265/H.264 Full HD videos simultaneously for video analytics applications. The BM1684(X) SoCs are equipped with eight Cortex-A53 cores clocked at 2.3 GHz to run Linux, and the systems come with up to 16GB RAM, 128GB flash, two Gigabit Ethernet ports to receive the video streams, one HDMI output up to 1080p30 for monitoring,  as well as RS232 and RS485 DB9 connectors, and a few USB ports. Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD specifications: SoC – SOPHGO SOPHON BM1684/BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3GHz TPU BM1684 64 NPU arithmetic units with each NPU containing 16 EU arithmetic units, or 1,024 EU in total Up to 17.6 TOPS (INT8), […]

UP 4000 x86 SBC Ubuntu 22.04 review
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UP 4000 x86 SBC review with Ubuntu 22.04

The UP 4000 is a credit-card / Raspberry Pi-sized single board computer based on an Intel Apollo Lake processor. AAEON sent me the model with an Intel Atom x7-E3950 quad-core processor, 4GB RAM, and a 64GB eMMC flash, and in the first part of the review, I installed Ubuntu 22.04 since the board would initially only boot to the UEFI shell out of the box. I’ve now spent more time with the board, and in this article, I will report my experience with the UP 4000 SBC running Ubuntu 22.04 checking out features, performance, video playback, power consumption, and so on. Ubuntu 22.04 System info Let’s check out some information after I’ve upgraded the system to the latest packages:

Everything looks good with an Intel Atom E3950 processor detected together with 3.68GB RAM and a 56.53GB rootfs EXT-4 partition. UP 4000 features testing There may also be some issues […]

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Linux 5.15
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Linux 5.15 LTS release – Main Changes, Arm, RISC-V and MIPS architectures

Linus Torvalds released Linux 5.15, an LTS version, this past Sunday: It’s been calm, and I have no excuse to add an extra rc, so here we are, with v5.15 pushed out, and the merge window starting tomorrow. Which is going to be a bit inconvenient for me, since I also have some conference travel coming up. But it’s only a couple of days and I’ll have my laptop with me. Sometimes the release timing works out, and sometimes it doesn’t.. Anyway, the last week of 5.15 was mainly networking and gpu fixes, with some random sprinkling of other things (a few btrfs reverts, some kvm updates, minor other fixes here and there – a few architecture fixes, couple of tracing, small driver fixes etc). Full shortlog appended. This release may have started out with some -Werror pain, but it calmed down fairly quickly and on the whole 5.15 was […]

UpSwift Account Stats
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Managing Edge IoT Linux Devices Closely, Remotely, Securely

CNXSoft: This is a guest post by Roy Dalal, Embedded Systems Engineer who looked for IoT device management solutions, and ended up using Upswift. With the recent shift from Real-Time Operating Systems (RTOS) to Linux-based embedded systems, there has been a boom in the IoT industry in creativity and expandability and opened doors to a whole new level of automation. Unlike the previous generation of IoT devices which followed the “program once, use forever” concept, with the new developments in the IoT industry, mainly the devices based on Linux operating systems that demand more and more flexibility, accessibility, and control. It has been challenging to address all these points at once when it comes to remote monitoring and control of these devices; especially if one produces thousands of those smart devices to be sold worldwide. The ability to manage these connected devices (Raspberry Pi, Jetson Nano, or any SOM/SBC that […]

UP Xtreme Smart Surveillance
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UP Xtreme Smart Surveillance Combines Whiskey Lake SBC, Myriad X VPUs, and Video Management & Analytics Software

We’re seeing more and more computer vision products with built-in artificial intelligence accelerated features like face recognition or object detection including AI cameras, facial recognition systems, and AI NVR systems. It’s great as a consumer because of less frequent and more accurate alerts in security camera systems but more worrying as a citizen due to mass surveillance. But the trend is here to stay, and AAEON has just announced the UP Xtreme Smart Surveillance solutions powered by UP Extreme Whiskey Lake SBC with either an Intel Core i5-8365UE or Intel Core i7-8665UE processor, as well as two Intel Movidius Myriad X VPUs using OpenVINO SDK. The system also leverages Milestone video management software (VMS) and SAIMOS video analytics software. Based on the photo above, the hardware looks to be UPX-Edge Embedded Computer which we previously covered in details at launch last December. Instead of hardware, the focus of Up Xtreme […]

VPC-3350AI
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AI Network Video Recorder Combines Intel Atom X5 E3940 SoC, Two Myriad X VPUs, and Five Ethernet Ports

AAEON seems to launch a new “AI Embedded Box PC” monthly either equipped with an NVIDIA Jetson module or a solution combining an Intel processor and a Myriad X VPU card. Here’s another one with AAEON VPC-3350AI AI edge computer powered by an Intel Atom X5 E3940 Apollo Lake processor, as well as two Myriad X VPUs for AI acceleration, and equipped with five Ethernet ports – four of which supporting PoE – to get video data from IP cameras or other networked video sources that makes it especially suitable as an AI network video recorder. VPC-3350AI specifications: SoC – Intel Atom X5-E3940 quad-core Apollo Lake processor @ 1.6 GHz / 1.8 GHz with 2 MB cache, 12 EU Intel UHD graphics; 9.5W TDP; Option for Celeron N4200/N3350 and X5-E3950) System Memory – Up to 8GB, DDR3L via 204-pin SODIMM socket Storage – 1x SATA port for 2.5″ drives AI […]

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AAEON BOXER-8310AI rugged fanless mini PC
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AAEON BOXER-8310AI Rugged Fanless Mini PC Combines Apollo Lake Processor & Myriad X VPU for AI Edge Applications

We’ve covered several of AAEON rugged mini PCs part of BOXER-8100 family powered by an NVIDIA Tegra X2 processor and targetting AI Edge applications. The company has now introduced three new AI embedded computers for the same AI edge applications but using Intel processors together with Intel/Movidius Myriad X VPU (Vision Processing Unit) for AI acceleration. The three models are BOXER-8310AI, BOXER-8320AI, and the upcoming BOXER-8330AI based on respectively Intel Celeron/Pentium Apollo Lake processor, Intel Core i3 7th gen processor, and an Intel Core i3/77 or Xeon processor. I’ll focus on the Apollo Lake model in this post to introduce AAEON BOXER-8300AI family of rugged mini PCs. BOXER-8310AI specifications: SoC (one or the other) Intel Pentium N4200 quad-core Apollo Lake processor Intel® Celeron N3350 dual-core Apollo Lake processor System Memory –  1x DDR3L SODIMM slot supporting up to 8GB RAM @ 1867 MHz Storage Device – mSATA socket AI Module […]

Linaro Connect San Diego 2019
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Linaro Connect San Diego 2019 Schedule – IoT, AI, Optimizations, Compilers and More

Linaro has recently released the full schedule of Linaro Connect San Diego 2019 that will take place on  September 23-27. Even if you can’t attend, it’s always interested to check out the schedule to find out what interesting work is done on Arm Linux, Zephyr OS, and so on. So I’ve created my own virtual schedule with some of the most relevant and interesting sessions of the five-day event. Monday, September 23 14:00 – 14:25 – SAN19-101 Thermal Governors: How to pick the right one by Keerthy Jagadeesh, Software Engineer, Texas Instruments With higher Gigahertz and multiple cores packed in a SoC the need for thermal management for Arm based SoCs gets more and more critical. Thermal governors that define the policy for thermal management play a pivotal role in ensuring thermal safety of the device. Choosing the right one ensures the device performs optimally with in the thermal budget. […]

Boardcon MINI1126B-P AI vision system-on-module wit Rockchip RV1126B-P SoC