USB2IO high-speed interface explorer tool combines Intel Cyclone 10 FPGA and STM32H7 MCU

USB2IO interface explorer

In the second part of 2020, we’ve seen a fair amount of USB debugging tools for electronics designers and hardware hackers including the Glasgow Interface explorer with an ICE40 FPGA. But if you need even more flexibility or higher I/O speeds (up to 300 MHz), DAB Embedded USB2IO interface explorer should help thanks to the combination of an STMicro STM32H7 MCU and an Intel Cyclone 10 FPGA. USB2IO interface explorer hardware specifications: MCU – STMicro STM32H743 Arm Cortex-M7 @ 480MHz CPU clock An external 64MB QSPI flash for extra FPGA code storage; FPGA  – Intel Cyclone 10LP (10CL040) with 40k logic elements, 1,134 Mbit embedded memory, 126 DSP blocks External memory – 32MB SDRAM for MCU and FPGA (64MB in total) Storage – 64MB QSPI for connected to MCU for FPGA code storage I/Os via 20-pin external header/connector 16 x GPIO mode (single-ended), 8x LVDS pair mode or a mix […]

Intel unveils eASIC N5X Structured ASIC, and the Open FPGA Stack

Intel Open FPGA Stack

Intel’s virtual FPGA Technology Day 2020 is taking place today, and the company made two announcements before the event. First, the company introduced the new Intel eASIC N5X structured eASIC family with an Intel FPGA compatible hard processor system to design to quickly create applications across 5G, artificial intelligence, cloud, and edge workloads. In addition, Intel also announced the Intel Open FPGA Stack (aka Intel OFS), a scalable, open-source (intel calls it “source-accessible”) hardware and software infrastructure available through git repositories design to ease the work of hardware, software, and application developers. Intel eASIC N5X eASIC N5X is the first structure ASIC from the company to integrate an Intel FPGA compatible Quad-core Armv8 hard processor system. The new chips will help customers bring custom solutions faster to market compared to traditional ASICs thanks to the FPGA fabric, and at a cheaper cost and with up to 50% lower core power […]

Arrow Chameleon96 Arm + Cyclone V FPGA Board Sold for $32 (Promo)

buy chameleon96

First introduced in 2017, Arrow Chameleon96 96Boards SBC comes with an Intel / Altera Cyclone V SE SoC featuring a dual-core Arm Cortex A9 processor clocked at up to 800 MHz and FPGA fabric with 110K Logic Elements. It used to sell for $129, but Arrow & appears to have a promotion now where the Novtech board sells for just $31.34 with free shipping[Update: all available boards are gone, and the product is now out of stock]. It looks like a good opportunity for people interested in playing around with an Arm Linux FPGA platform. Here’s a reminder of Chameleon96 board specifications which the company shamelessly copied from CNX Software: SoC – Intel PSG / Altera Cyclone V SE 5CSEBA6U19I7N with a dual-core ARM Cortex A9 processor @ up to 800 MHz and FPGA fabric with 110K Logic Elements Chips, Ports, and Features connected to FPGA: Integrated USB-Blaster II JTAG […]

Feather-Sized Evo M51 Board Combines Atmel SAMD51 MCU with Intel MAX 10 FPGA

Evo M51 FPGA Arduino

Arduino unveiled its first FPGA board around two years ago with MKR Vidor 4000 combining an Intel Cyclone FPGA with Microchip SAMD21 Cortex-M0+ MCU in a form factor similar to Arduino Zero. But in case you are looking for an even smaller Arduino compatible FPGA board, Alorium Technology’s Evo M51 might be exactly what you are after. The Adafruit Feather-sized board is equipped with an Atmel SAMD51 Arm Cortex-M4F microcontroller coupled with an Intel MAX 10 FPGA. Evo M51 specifications: MCU – Microchip (Atmel) SAMD51 Arm Cortex-M4F microcontroller clocked at 120 MHz with 512KB flash, 192 KB SRAM FPGA – Intel MAX 10 (10M25) FPGA with 25K LEs, 675Kbit block memory Storage – 2MB external flash USB – 1x micro USB port for power and programming I/O Digital 55x Total Digital I/O – 21x through-hole/castellated vias, 34x additional castellated-only 6x digital pins shared with analog pins 3.3V Inputs, 3.3V Outputs […]

Exor GigaSOM GS01 SoM and Devkit Combine Intel Atom E39xx CPU and Cyclone 10 GX FPGA

EXOR Intel Atom + Cyclone FPGA Smart Factory / Industrie 4.0 Development Kit

EXOR International has worked in collaboration with Arrow Electronics to design and manufacture GigaSOM GS01 system-on-module combining an Intel Atom E39xx Apollo Lake processor and Cyclone 10 GX FPGA. The module and corresponding development kit are specifically designed for smart factory & “Industrie 4.0” applications with the processor running Intel’s time-coordinated computing plus a real-time “IoT stack”, and the FPGA supporting IEEE 802.1 time-sensitive networking (TSN) and 10Gbps connectivity. GigaSOM GS01 module specifications: Apollo Lake SoC (one or the other) Intel Atom x5-E3930 dual-core processor @ 1.3 GHz / 1.8 GHz (Turbo) with 12EU Intel HD Graphics 500; 6.5W TDP Intel Atom x5-E3940 quad-core processor @ 1.6 GHz / 1.8 GHz with 12EU Intel HD Graphics 500; 9.5W TDP Intel Atom x7-E3950 quad-core processor @ 1.6 GHz / 2.0 GHz with 18EU Intel HD Graphics 505; 12W TDP FPGA – Intel Cyclone 10 GX up to 220 KLE System Memory […]

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

UP Xtreme Smart Surveillance

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 […]

megaAI 4K AI Camera Board Features Movidius Myriad X VPU (Crowdfunding)

megaAI Myriad X board

megaAI 4K AI camera board reminds me of Kendryte K210 based boards such as Maixduino used for computer vision for tasks such as object tracking or face recognition, but instead of just handling QVGA at around 15 to 18 fps, megaAI can supports inference at 4K resolution up to 30 fps. The tiny board can achieve this feat by leveraging the 4 TOPS of AI processing power delivered by Intel Movidius Myriad X VPU (Vision Processing Unit) while consuming only around 2.5 Watts. megaAI board specifications: AI Accelerator – Intel Movidius Myriad X VPU delivering up to 4 TOPS (Trillion Operations Per Second) Camera – 12 MP 4056×3040 Auto-Focus (8cm-∞) camera with 81 degrees  horizontal Field of View (HFOV) Video RAW Output – 4K @ 60FPS or 12MP @ 30FPS (with USB3.1 Gen2 Host) Hardware Image Encoding – 12 MP JPEG encoding Hardware Video Encoding: 4K H.265 encoding at 30 […]

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 […]