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

Sophon BM1684 BM1684X Edge AI computer

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), […]

conga-STDA4 SMARC 2.1 module features TI TDA4VM/DRA829J Jacinto 7 processor

congatec conga-STDA4 is a SMARC Computer-on-Module (CoM) based on Texas Instruments TDA4VM or DRA829J Jacinto 7 processor with two Cortex-A72 cores, six real-time Cortex-R5 cores for functional safety, accelerated vision and AI processing capabilities, and plenty of interfaces. The first Texas Instruments-powered CoM from the company is designed for industrial mobile machinery requiring near-field analytics, such as automated guided vehicles and autonomous mobile robots, construction and agricultural machinery, as well as any industrial or medical solutions requiring energy-efficient computer vision at the edge. conga-STDA4 specifications: SoC – Texas Instruments Jacinto 7 TDA4VM/DRA829J with Dual-core Arm Cortex-A72 up to 2.0 GHz 6x Arm Cortex-R5F cores @ 1.0 GHz up to 8 MB of on-chip L3 RAM 1x C7x DSP up to 80 GFLOPs 2x C66 DSPs up to 40 GFLOPs Up to 8 TOPS MMA AI accelerator PowerVR Rogue 8XE GE8430 3D GPU with support for OpenGL ES 3.1, OpenVX, OpenCL […]

MIPI CSI camera works with Intel Atom x7000, Processor, and Core i3 Alder Lake-N processors

Most Intel processors do not come with a MIPI CSI camera, but some Alder Lake-N processors do, and Leopard Imaging has designed the LI-ADL-ADP-IMX415-MIPI-081H MIPI CSI camera module that is compatible with the Intel ADL-N CRB (Alder Lake-N Customer Reference Board) and custom Alder Lake-N boards equipped with a compatible MIPI CSI connector. The 13MP camera supports resolutions up to 3864 x 2176 and works with boards and embedded systems based on Intel Atom processors x7000E Series, Intel Core i3-N processors, and Intel Processors N-Series processors. LI-ADL-ADP-IMX415-MIPI-081H specifications: Sony IMX415 CMOS image sensor Diagonal – 6.43 mm (Type 1/2.8) Active Pixels – 3864 (H) x 2176 (V) Pixel Size: 1.45 x 1.45 μm Optical Format: 1/2.8″ Effective Focal Length – 4.063 mm Aperture, F/#2.29 ± 5% IR Filter – 650 nm IR cut filter Field of View (FOV) – 81.7˚ horizontal, 44.7˚ vertical; 95.1˚ diagonal Lens Mount – M12 x […]

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

Texas Instruments unveils AM62A, AM68A and AM69A Arm Cortex Vision processors and devkits

Texas Instruments AM62A, AM8, and AM69A Arm Cortex-A53 or Cortex-A72 Vision processors come with 2 to  8 CPU cores and deep learning accelerators delivering from 1 TOPS to 32 TOPS for low-power vision and artificial intelligence (AI) processing in applications such as video doorbells, machine vision, and autonomous mobile robots. Three families and a total of 6 parts are available: AM62A3, AM62A3-Q1, AM62A7, and AM62A7-Q1 single to quad-core Cortex-A53 processors support one to two cameras at less than 2W in applications such as video doorbells and smart retail systems. Equipped with a 1TOPS vision processor, the AM62A3 is the cheapest model of the family going for US$12 in 1,000-unit quantities. AM68A dual-core Cortex-A72 processor can handle one to eight cameras in applications like machine vision, with up to 8 TOPS of AI processing for video analytics. AM69A octa-core Cortex-A72 SoC supports up to 12 cameras and achieves up to 32 […]

Hailo-15 quad-core AI Vision processor delivers up to 20 TOPS for Smart Cameras

Hailo-15 is a family of AI Vision processors for smart cameras that deliver up to 20 TOPS of AI inference and are able to process deep-learning AI applications such as video analytics. The Hailo-15 appears to build upon the earlier Hailo-8 AI processor with up to 26 TOPS and more limited computer vision capability. The new AI vision processor integrates a quad-core Cortex-A53 CPU sub-system, can handle 4K video streams, and features “advanced computer vision engines”. So the main differences are that the Hailo-15 is a complete SoC / standalone processor and is specifically designed for AI cameras. Hailo-15 highlights: CPU – Quad-core Arm Cortex-A53 processor up to 1.3 GHz or 1.1 GHz (Hailo-15L) DSP – Vector DSP, 256 MACs @ 700 MHz supports up to 350 GOPs AI accelerator / NN core sub-system with dataflow architecture Hailo-15H – Up to 20 TOPS Hailo-15M – Up to 11 TOPS Hailo-15L […]

Vecow ECX-3200 expandable fanless embedded system is powered by a 13th Gen Raptor Lake-S processor

Vecow ECX-3200 is an expandable, fanless embedded system powered by Intel 13th generation Core i9/i7/i5/i3 Raptor Lake-S processor or 12th generation Alder Lake-S processor designed for rugged Machine Vision, AMR, Rolling Stock, Smart Retail and Edge AI applications. The ECX-3200 supports up to 64GB DDR5, SATA & NVMe storage, offers four 2.5GbE RJ45 or M12 ports with PoE+ on the rear panel, plus one additional Gigabit Ethernet port and a 2.5GbE port on the front panel, four video outputs up to 8Kp60 resolution, several USB 3.2 ports up to 20 Gbps, some serial ports, as well as isolated I/Os. Vecow ECX-3200 specifications: SoC Up to 24-core 13th Gen Intel Core i9/i7/i5/i3 Raptor Lake-S processor with Intel Xe graphics Up to 16-core 12th Gen Intel Core i9/i7/i5/i3 Processor Alder Lake-S processor with Intex Xe graphics System Memory – Up to 64GB DDR5-4800 (2x 32GB) via 2x SO-DIMM sockets Storage 2x SATA […]

QNAP preps Rockchip RK3588 AI NAS and Intel NAS with hot-swappable E1.S SSDs

QNAP has been teasing two potentially interesting NAS coming up soon: the TS-AI642 AI NAS leveraging the 6 TOPS NPU in Rockchip RK3588 Arm processor for image and facial recognition, and the TBS-574X NAS powered by an Intel Core i3-1220P Alder Lake CPU and taking up to five hot-swappable E1.S NVMe PCIe SSDs. Details are limited since neither device is available yet, but both NAS are equipped with relatively powerful Arm and Intel processors and offer some innovative features. QNAP TBS-574X NAS with Rockchip RK3588 Preliminary specifications: SoC – Rockchip RK3588 octa-core 64-bit Arm processor with 4x Cortex-A76 cores @ 2.2 GHz, 4x Cortex-A55 cores @ 1.8 GHz, 6 TOPS NPU Storage – 6x SATA III bays Video Output – 2x HDMI 2.1 ports Networking – Built-in 2.5GbE, PCIe Gen 3 slot for 10GbE module The main highlight is the 6 TOPS AI accelerator that boosts the performance of the […]

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