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February 19, 2021February 19, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

PoE powered AI Edge computer combines NXP i.MX 8M SoC with Google Edge TPU

AAEON has introduced several BOXER AI edge computers over the years either powered by an NVIDIA Jetson module, a HiSilicon HI3559A Arm SoC, or an Intel processor combined with Movidius Myriad AI accelerator. The latest model, BOXER-8521AI, combines an NXP i.MX 8M SoC with Google Edge TPU AI accelerator, and offers 1GB RAM, USB ports, a 40-pin external I/O connector, and 12V or PoE power inputs. AAEON BOXER-8521AI specifications: SoC – NXP i.MX 8M SoC quad-core Cortex-A53 processor with Cortex-M4F real-time core, 2D/3D GPUs AI Accelerator – Google Edge TPU ML accelerator coprocessor System Memory – 1GB LPDDR4x RAM Storage – 8GB eMMC flash, MicroSD card slot Video Output – 1x HDMI 2.0a port Audio – 1x Mic-in, 1x Line-out, optional 2x MEMS microphones Connectivity Gigabit Ethernet RJ45 port with PoE (802.3at) Optional? WiFi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) & Bluetooth 4.1 plus two antennas USB – 2x USB3.2 Gen 1 […]

February 14, 2021February 17, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Vacos Cam AI Security Camera Review – Part 1: Specifications, Unboxing and Teardown

As we’ve seen in our Reolink RLC-810A review, AI security cameras greatly reduce the number of false alerts generated by motion sensors, and the Reolink 4K security camera we tested was capable of people and vehicle detection. The Reolink model does not support WiFi, so I had to run a long Ethernet cable, plus a power extension to connect a 12V power adapter since I don’t own a PoE injector. But I’ve been given the opportunity to review another AI security camera, namely Vacos Cam, that also supports human detection, but relies on WiFi connectivity and can be powered by a solar panel removing the need for potentially long cable. As a bonus, it comes with eMMC for storage, so there’s no need for a MicroSD card. In the first part of the review, I’ll list the specifications, unbox the power panel and camera, and tear down Vacos Cam to […]

February 11, 2021February 11, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

SolidRun CuBox-M 2-inch Arm Linux/Android mini PC packs a 2.3 TOPS AI accelerator

SolidRun first introduced the tiny CuBox Arm Linux mini PC in 2011, with the device based on a Marvell Armada 510 dual-core Armv7 processor, and followed in 2013 with the launch of the CuBox-i family powered by Freescale i.MX 6 single to quad-core Cortex-A9 processor. The company moved to NXP i.MX 8M processor in 2018 with the introduction of CuBox Pulse, and now they’ve introduced their first Cubox mini PC with a built-in AI accelerator. Meet CuBox-M mini PC powered by NXP i.MX 8M Plus quad-core Cortex-A53 processor with a 2.3 TOPS NPU. Cubox-M mini PC specifications: SolidRun i.MX 8M Plus System-on-Module (SoM) SoC – NXP i.MX 8M Plus Quad quad-core Arm Cortex-A53 processor @ 1.8 GHz with Arm Cortex-M7 up to 800MHz, Vivante GC7000UL 3G GPU (Vulkan, OpenGL ES 3.1, OpenCL 1.2), 2.3 TOPS NPU, 1080p60 H.264/H.265 video encoder, 1080p60 video decoder (H.265, H.264, VP9, VP8), Candence HiFi4 audio […]

February 10, 2021February 10, 2021 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Geniatech RK3568 Development Board to support Android 11 and Linux

RK3566 and RK3568 are the latest AIoT processors from Rockchip equipped with four Arm Cortex-A55 cores, a Mali-G52 GPU, and an impressive range of peripherals that make them suitable for all sorts of applications including AI edge computing and network video recorder (NVR). We already know Pine64 is working on Quartz64 SBC based on Rockchip RK3566, but I’ve just noticed Geniatech’s “RK3568 development board” that should offer even more features since the processor comes with extra I/Os compared to its little brother. Let’s have a look. Geniatech RK3568 development board specifications: SoC – Rockchip RK3568 quad-core Cortex-A55 processor up to 2.0 GHz with Arm Mali-G52 GPU supporting OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, 0.8 TOPS NPU for AI acceleration System Memory – Up to 4 GB LPDDR4 Storage – Up to 128 GB eMMC 5.1 flash, 1x SATA 3.0 port, MicroSD card slot, M.2 socket for NVMe SSD (See […]

February 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Jetson AGX Xavier based Edge AI Platform supports 8 GMSL automotive cameras and 10Gbps Ethernet

Jetson Xavier AI Edge computer with 8 GSML cameras

Neousys Technology, a Taiwan-based provider of rugged embedded systems, has introduced the NRU-110V Edge AI inference platform powered by an NVIDIA Jetson AGX Xavier SoM. It comes with eight FAKRA Z connectors to support up to eight GMSL automotive cameras, as well as one 10GbE (10 Gigabit Ethernet) port for real-time video data transfer. The system specifically supports GMSL cameras with 3-exposure HDR, LED flicker mitigation, good light-sensitivity, and IP67 waterproof characteristics, and also comes with a synchronize mechanism to simultaneously capture high-quality images from 8 GMSL cameras while accepting GPS PPS signal to align image data with other sensors. That makes it suitable for various applications ranging from autonomous driving, mobile robots, precision agriculture, intelligent V2X, to teleoperation. Neousys NRU-110V specifications: System-on-Module – NVIDIA Jetson AGX Xavier SoM with SoC NVIDIA 512-core Volta GPU 8-core Arm Carmel CPU 2x NVDLA Engines 7-Way VLIW Vision Processor Memory – 32GB LPDDR4x […]

February 8, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Ryzen Embedded V1807B AI Edge PC supports dual-slot graphics cards

Vecow MG1000 AI Edge Computer dual-slot graphics card

Many AI edge computers come with dedicated AI accelerators from Intel, Google, Gyrfalcon, and others. But as we’ve seen with Cincoze GM-1000 embedded mini PC, some include support for more traditional GPUs, in this case, an NVIDIA Quadro Embedded P2000 MXM module. Ryzen Embedded V1807B powered Vecow MIG-1000 AI edge PC is another such solution with up to 64GB DDR4, four DisplayPort outputs, and a PCIe x16 slot for dual-slot graphics cards from Nvidia or AMD for AI processing performance and/or extra video outputs. Vecow MIG-1000 specifications: SoC – AMD Ryzen Embedded V1807B quad-core processor with Radeon Vega 11 graphics; 35-54W TDP System Memory – 2x DDR4 3200MHz SO-DIMM, up to 64GB Storage – 1x SATA-III port, 1x M.2 Key M socket (2280, PCIe x4) for NVMe SSDs Video Output – 4x DisplayPort up to 4096 x 2160 @ 60Hz Audio Realtek ALC662, 5.1 Channel HD Audio codec 1x Mic-in, […]

February 7, 2021February 7, 2021 by Saumitra Jagdale - No Comments

Person Detection on Raspberry Pi Pico with ArduCAM and TensorFlow Lite

ArduCAM is popular for camera-based applications with various boards ranging from Arduino to Raspberry Pi. We also saw the company’s tiny coin-sized Raspberry Pi compatible module 5 years ago. Now, it also supports the newly launched Raspberry Pi Pico for real-time video applications. Raspberry Pi Pico is compatible with the ArduCAM Mini 2MP Plus camera featuring an OV2640 2MP CMOS image sensor that supports automatic image control functions including Automatic Exposure Control (AEC) and Automatic Gain Control(AGC). The camera also comes with an onboard JPEG encoder for image compression. The company has provided a Github repository with two demo applications: a video streaming application and an example for basic person detection with the probability percentage of detection. There is also an option of directly using the UF2 files for flashing with Raspberry Pi Pico, if you don’t want to build the demo from the source code yourself. The application runs […]

February 5, 2021February 5, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Ingenic T40 4K Video & AI Vision Processor mixes MIPS & RISC-V cores with AI accelerator

Ingenic T31 MIPS & RISC-V AI video processor was introduced last year with the MIPS core including SIMD128 Vector instructions for deep learning. The Chinese company has now introduced the new Ingenic T40 processor still with MIPS and RISC-V cores, but also a dedicated 8 TOPS AI engine/CNN accelerator. The new processor is especially suited to smart AI vision application thanks to support for 4K cameras, and 4K MJPEG/H.264/H.265 hardware video encoding, complemented by the 8 TOPS AI engine for computer vision workloads such as people detection, face recognition, object detection, and so on. Ingenic T40 key features and specifications: CPU – Dual-core MIPS XBurst2 @ 1.2 GHz with 256KB L2 Cache, SIMD512 instruction set MCU – 600MHz RISC-V coprocessor AI Engine – 8 TOPS neural network accelerator with 1MB memory pool, support for int16/int8/int4/int2 convolution width Memory – DDR2/DDR3/DDR3L up to 2GB Storage – SPI NOR flash, SPI NAND flash, […]