Flex Logix InferX X1M M.2 AI accelerator module is now in production

InferX X1M

When we first wrote about Flex Logix InferX X1 AI inference accelerator in 2020, the InfexX X1M M.2 AI accelerator module for edge servers, PCs, laptops, and embedded systems. was expected in Q2 2021. It took longer than planned but the company has finally announced production availability of the InferX X1M board in M.2 2280 form factor, or about the size of a stick of gum, to fit into power-constrained applications such as robotic vision, industrial, security, and retail analytics. InferX X1M module specifications: InferX X1 Edge Inference Accelerator with 4K MACs with 8 MB of distributed SRAM, and an eFPGA with 4MB DDR3 RAM System Memory – LPDDR4X (capacity undisclosed) Interface – M.2 B+M Key edge connector with x4 PCIe GEN3/4 Dimensions – 22mm x 80mm Power Budget – 6 to 8.2W TDP Flex Logix does not provide a lot of information on the product page, and instead, it’s […]

Tiny Jetson Xavier NX mini PC gets AI-powered Oosto video analytics software

Oosto Vision AI Appliance

The Oosto Vision AI Appliance is a palm-sized “near-edge” device based on the NVIDIA Jetson Xavier NX system-on-module and running the company’s neural network models for video analytics that are optimized to support low-power devices, as opposed to servers with powerful GPUs. It’s not actually a new device, as the light gold color of the enclosure below looks like a model from AAEON, and indeed, it looks just like the AAEON BOXER-8251AI embedded box PC. That most probably means AAEON provides the hardware, and Oosto installs their video analytics software unto the device. It’s still interesting to look into the announcement, and Oosto has a TCO calculator that will put into context the cost involved in specialized B2B or B2G (business-to-government) solutions.   Oosto video analytics software appears to focus on facial recognition for touchless access control and to help law enforcement apprehend suspects (from a watchlist) and help de-escalate […]

NVIDIA launches Jetson AGX Orin Developer Kit, Orin NX modules, and Isaac Nova Orin AMR platform

NVIDIA Jetson AGX Orin Developer Kit

NVIDIA Jetson AGX Orin module was first introduced in November 2021, but the company has now officially launched the Jetson AGX Orin Developer Kit, andunveiled the lower cost Orin NX modules still with 70 TOPS or more, and the Isaac Nova Orin AMR (autonomous mobile robot) reference platform. NVIDIA Jetson AGX Orin Developer Kit Jetson Orin AGX developer kit specifications: Jetson AGX Orin module with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1.3 GHz DL Accelerator – 2x NVDLA v2.0 Vision Accelerator – PVA v2.0 (Programmable Vision Accelerator) AI Performance – Up to 275 TOPS (INT8) @ 60W Video Encode – 2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) Video Decode – 1x 8K30 | 3x 4K60 | 7x 4K30 | […]

Quadric devkit features q16 hybrid AI, DSP, computer vision accelerator

Quadric devkit Raspberry Pi CM4

The Quadric devkit is an M.2 Key M module equipped with the company’s q16 edge processor offering a hybrid data-flow + Von Neumann machine for not only neural networks, but also computer vision, digital signal processing, BLAS (Basic Linear Algebra Subprograms), and other workloads. This architecture allows the Quadric q16 to be more flexible than traditional AI accelerators and can deliver more effective solutions for heterogonous systems that may have multiple accelerators or require a powerful processor. The M.2 form factor enables easy integration into boards with an M.2 Key M socket such as the Gumstix Raspberry Pi 4 development board shown below with the Quadric devkit. Quadric devkit specifications: Accelerator – Quadric q16x4 Processor with 256 Vortex Cores, 8 MB on-chip memory, 4 kB per core memory, multi-precision multiply accumulate; 16 x 16mm package Memory – 4GB LPDDR4, 32-bit, dual-rank up to 3677 MHz Host Interface – 2-lane PCIe […]

OK3568-C SBC provides dual GbE, WiFi 5, 4G/5G connectivity, multiple display interfaces

OK3568-C single board computer

Taking a break from the recent RK3588 news, let’s check out a board based on Rockchip RK3568 quad-core Arm Cortex-A55 processor with the Forlinx OK3568-C single board computer equipped with up to 8GB RAM and 64 GB storage. The board is comprised of the company’s FET3568-C system-on-module and OK3568-C carrier board offering multiple display interfaces, plenty of connectivity options with dual Gigabit Ethernet, WiFI 5, Bluetooth 5.0, as well as optional 4G or 5G cellular connectivity, and PCIe slots. OK3568-C specifications: FET3568-C SoM SoC – Rockchip RK3568 quad-core Cortex-A55 processor @ up to 2.0 GHz with Mali-G52-2EE GPU supporting OpenGL ES 1.1, 2.0, 3.2, Vulkan 1.0,1.1, OpenCL 2.0, 1 TOPS NPU, 4K H.264, H.265, VP9 VPU System Memory – 2GB (default), 4GB, or /8GB DDR4 Storage – 16GB eMMC flash 4x 80-pin board-to-board connectors with I/Os and power signals Supply Voltage – DC5V Dimensions –  70 x 45mm Temperature range […]

BIVROST Lite5 mini-STX motherboard takes up to 96GB RAM for machine vision applications

BIVROST Lite5

BIVROST, a manufacturer of solutions in the field of image analysis and live video streaming, has just introduced the Lite5 mini-STX motherboard powered by an Intel Core Coffee Lake processor, and targeting machine vision, digital signage, security, video streaming, and other edge computing applications. The board is fitted with Advantech SOM-5899 COM Express Basic Type 6 module that supports up to 96GB DDR4 ECC memory, while the carrier board offers two Gigabit Ethernet ports, twelve USB interfaces, dual HDMI 2.0 video output, plus five M.2 expansion sockets. BIVROST Lite5 specifications: SoC Intel i7-8850H 6-core/12-thread processor @ up to 2.6 GHz / 4.3 GHz (Turbo) with 9MB cache, 24 EU Intel UHD 630 graphics; 45W TDP Intel i5-8400H 4-core/8-thread processor @ 2.5 GHz / 4.2 GHz (Turbo) with 8MB cache, 24 EU Intel UHD 630 graphics; 45W TDP Some Xeon processors are also available upon request System Memory – Up to […]

ANNKE NC800 security camera review – Part 2: color night vision, vehicle & human detection

Security camera soft light

I started the review of ANNKE NC800 security camera with color night vision last month by checking out the specifications and package content. I’ve now had time to install and test the camera with a focus on night image quality and person and vehicle detection. ANNKE NC800 installation The camera should be powered by a PoE injector, but since I don’t have any spare one, I just used an Ethernet cable and a 12V power supply. The kit includes bits to make sure the Ethernet cable is waterproof, but I would have had to cut the plastic bit on top of my connector, so I skipped that part. The cable is also protected from rain and sun where I’ll install it. I also installed a MicroSD card after formatting it to FAT32 to make sure it is recognized by the system, but it may not be necessary as the card […]

Pockit modular Linux computer gets a Raspberry Pi CM4 upgrade

Pockit modular computer

We first wrote about the Pockit modular Linux computer with hot-plugging magnetic blocks about a year ago. The system was based on a STM32+ESP32 mainboard with a socket for an optional Raspberry Pi Compute Module 3 and included magnets and electrical contacts to snap and hot-plug modules/blocks while the computer is running. The developer (Anil Reddy) has made good progress with the project and added the option to use a Raspberry Pi CM4 with Pockit (provided you can find one) to improve performance, for example for computer vision. Other changes include support for AI accelerators, an improved dashboard, home automation integration, and more. Pockit now supports over 80 feature BLOCKS ranging from a rotary encoder to a microSD card reader to various camera types, an HDMI block, AI accelerators, and so on. All of which can be magnetically snapped while the computer is running, and automatically detected in the dashboard. […]

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