Advantech SOM-6820 COM Express module is powered by Qualcomm Snapdragon X Elite Arm SoC

Advantech SOM 6820

Advantech SOM-6820 is a COM Express Type 6 Compact Computer-on-Module powered by a Qualcomm Snapdragon X Elite SoC with up to twelve 64-bit Arm Oryon cores, instead of an x86 processor from Intel or AMD, more commonly found on COM Express modules. The COM also features up to 64GB LPDDR5 memory, two MIPI CSI camera connectors, an RTL8153B USB 3.0 Gigabit Ethernet controller, and a TPM 2.0 security chip. All I/Os are exposed through two standard 220-pin B2B connectors, including DisplayPort and LVDS/eDP interfaces for up to four 4K displays, up to four SATA III for storage, twelve USB 3.0/2.0 interfaces, multiple PCIe Gen4/3 interfaces, and more. With up to 45 TOPS of AI performance, the SOM-6820 is especially well-suited to medical imaging and machine vision applications as well as mission-critical systems and humanoid robots. Advancec SOM-6820 specifications: Snapdragon X Elite SoC variants (one or the other) X1E-00-1DE 12-core up […]

Prophesee Starter Kit GenX320 camera for Raspberry Pi 5 enables low-latency event detection

Prophesee Started Kit GenX320 M12 mount

The Starter Kit GenX320 is a power-efficient, event-based camera designed for the Raspberry Pi 5 that detects events with a latency of less than 150 μs, or the equivalent of about 10,000 FPS. The Prophesee GenX320 sensor offers a 320×320 resolution and a >140 dB dynamic range. The kit connects to the Raspberry Pi 5 like the official camera modules, through the MIPI CSI-2 connector. Starter Kit GenX320 specifications: Sensor – Prophesee GenX320 1/5 inch format event-based vision sensor Resolution – 320×320 array of 6.3μm contrast detection pixels Event Rate – ~10,000 FPS equivalent Latency – <150 μs at 1,000 lux, <1,000 μs at 5 lux Dynamic Range – >140 dB Host interface – MIPI CSI-2 (D-PHY) connector Power Consumption  -<50 mW Camera (two variants) M12 mount Focal length – 1.8 Focal ratio (f-stop) – f/2.8 fixed iris FOV – 76° diagonal, 58° horizontal, 58° vertical IR cut filter – […]

QNAP QAI-M100 and QAI-U100 Edge AI accelerators for NAS systems improve image recognition performance

QNAP QAI-M100 QAI-U100 NAS AI Accelerators

NAS used to store your files in your local network for easy access, but new models like QNAP TS-216G, TS-AI642, and TS-133 feature an Arm processor (Rockchip RK3566 or RK3588) with a built-in NPU to accelerate image recognition, so that users can find their photos with a simple text search like “Disneyland Mickey Mouse”. However, if you own an older NAS that lacks an AI accelerator, QNAP has launched the QAI-M100 (M.2 2280) and QAI-U100 (USB) equipped with a Rockchip RK1808 3 TOPS AI accelerator designed to speed up image and facial recognition by up to 36%. QNAP QAI-M100/QAI-U100 specifications: SoC – Rockchip RK1808 CPU – Dual-core Arm Cortex-A35 @ 1.6 GHz NPU – 3 TOPS NPU Memory – 1GB RAM Host interface QAI-M100 – M.2 2280 PCIe Gen2 x1 (M+B key) edge connector QAI-U100 – USB 3.2 Gen1 male port Accessories – Installation guide and heatsink (QAI-M100 only) Dimensions / […]

Teledyne Tetra 2.5 GbE line scan camera supports up to 8K resolution for machine vision applications

Teledyne Tetra line scan camera

Teledyne DALSA has recently announced the Tetra line scan camera family with 2.5GbE networking, up to 8K resolution, a line rate of up to 150 kHz, and offered in monochrome or color versions. Traditional cameras (aka scan camera) will capture a full frame, but line scan cameras will only capture one line at a time to scan an object or scene as it moves past the camera providing higher resolution image provided the speed of the scan and the motion of the object are syncrhonized, for instance, on a production line. Line scan cameras like the Tetra are typically used for quality control at the factory,  document scanning, license plate scanning, and scientific research (e.g. satellite imaging).   Teledyne Tetra specifications: Color cameras Tetra 2k Color  – TL-GC-02K05T-00 Resolution – 2048 x 3 Pixel size – 14 μm Max line rate – 50 kHz x 3 Tetra 4k Color –  […]

Lattice unveils Nexus 2 small FPGA platform, Lattice Avant 30 and Avant 50 mid-range devices, updated Lattice design software tools

Lattice Nexus 2

Lattice Semiconductors announced several new FPGAs and software tools at the Lattice Developers Conference 2024 which took place on December 10-11. First, the company unveiled the Nexus 2 small FPGA platform starting with the Certus-N2 general-purpose FPGAs offering significant efficiency and performance improvements in this category of devices. The Lattice Avant 30 and Avant 50 were also introduced as mid-range FPGA devices with new capacity options to enable edge-optimized and advanced connectivity applications. Finally, the company releases new versions of Lattice design software tools and application-specific solution stacks to help accelerate customer time-to-market such for edge AI, embedded vision, factory automation, and automotive designs with Lattice Drive. Let’s have a look at the highlights of each announcement. Lattice Nexus 2 small FPGA platform and Certus-N2 FPGA Highlights and benefits of the Lattice Nexus 2 small FPGA platform: Power Efficiency against similar class competitive devices Up to 3x lower power Up […]

UP Squared Pro 710H SBC combines Alder Lake-N CPU with Hailo-8 AI accelerator for the machine vision market

UP Squared Pro 710H

AAEON UP Squared Pro 710H is a 4×4-inch SBC and developer board designed for machine vision applications with an Intel Processor N97 or Core i3-N305 Alder Lake-N CPU and a 26 TOPS Hailo-8 Edge AI processor. The single board computer supports up to two MIPI CSI cameras via a 61-pin connector and offers expansion capabilities through a 40-pin Raspberry Pi-compatible header and three M.2 sockets for 5G, Wi-Fi, and NVMe storage support. While it’s only designed to operate in the 0 to 60°C temperature range, it does have industrial features such as 12V to 36V DC input and two RS-232/422/485 connectors. UP Squared Pro 710H specifications: Alder Lake N-series SoC (one or the other) Intel Processor N97 quad-core processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.2 GHz; TDP: 12W Intel Core i3-N305 octa-core processor up to 3.8 GHz with 6MB cache, 32EU Intel […]

Vecow EVS-3000 AI computing systems combine 14th Gen Intel Core CPUs and MXM Graphics for Edge AI applications

EVS 3000

Vecow has introduced the EVS-3000 series, a new line of AI computing systems powered by Intel Core i9/i7/i5/i3 (14th Gen) processors with embedded MXM graphics. These systems deliver high computing power, come with multiple PCIe slots for expansion, and support remote monitoring making them ideal for edge AI applications such as autonomous robotics, public security, and machine vision. The EVS-3000 series includes both fan and fanless models: EVS-3100, EVS-3200, EVS-3300, EVS-3400 without fans, and EVS-3100(F), EVS-3200(F), EVS-3300(F), EVS-3400(F) with fans. All systems are powered by Intel R680E chipsets and feature compact NVIDIA or AMD MXM graphics, with support for 2.5GbE LAN, Out-of-Band (OOB) management, and multiple PCIe Gen 4 slots. These systems deliver high performance for AI computing at the edge for applications such as machine vision and robotics. As you may know, we’ve previously covered several Vecow AI computing systems, including the TGS-1000 Series, SPC-9000 fanless embedded system, ECX-3200, […]

Efinix introduces the low-power Topaz RISC-V SoC FPGA family for “high-volume, mass-market applications”

Efinix Topaz RISC-V SoC FPGA

Efinix Topaz is a new low-power RISC-V SoC FPGA family manufactured with the same 16nm TSMC process as the Efinix Titanium SoC FPGA, but optimized for high-performance in a low-power footprint, and targetting high-volume, mass-market applications. The Topaz SoC FPGAs provide fewer features than the Titanium family but still offer up to four RISC-V hard cores, PCIe Gen3, MIPI interfaces, LPDDR4, LVDS, and 12.5 Gbps transmitter with most features being optional and depending on the exact SKUs selected. Efinix Topaz key features and specifications: FPGA compute fabric Up to 326,080 logic elements (LEs) Up to 19.22 Mbits embedded memory Up to 1,877 10-Kbit SRAM blocks Up to 1,008 embedded DSP blocks Memory – 10-kbit high-speed, embedded SRAM, configurable as single-port RAM, simple dual-port RAM, true dual-port RAM, or ROM FPGA interface blocks Optional 32-bit quad-core hardened RISC-V block (RISCV32I with M, A, C, F, and D extensions and six pipeline […]

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UP 710S Alder Lake-N Credit Card-size SBC