Firefly Baidu Face Recognition Kit Comes with Monocular, Binocular, or Structured Light Camera

Baidu Face Recognition Kit

Firefly AIO-3399J industrial board comprised of a Rockchip RK3399 SoM and a baseboard offering plenty of I/O & connectivity options has been bundled with various  other accessories including a 10.1″ touchscreen display, and cameras to create a development platform for Baidu AI offline (aka “at the edge”) face recognition technology. The development kit is available in different variants with either a monocular camera, a binocular camera, or a structured-light camera. There’s also a deluxe kit with WiFi and a stand. Baidu Face Recognition Kit key specifications: SoC – Rockchip RK3399 hexa-core big.LITTLE processor with dual core ARM Cortex A72 up to 2.0 GHz and quad core Cortex A53 processor, ARM Mali-T860 MP4 GPU with OpenGL 1.1 to 3.1 support, OpenVG1.1, OpenCL and DX 11 support System Memory – 2GB DDR3 RAM Storage – 16GB eMMC 5.1 flash, micro SD card slot Display – 10.1″ 1280×800 capacitive touch display Connectivity – Gigabit Ethernet, Dual band WiFi, Bluetooth 4.1 LE, and mPCIe …

Axiomtek eBOX560-900-FL Ubuntu 16.04 Fanless Embedded Computer is Powered by NVIDIA Jetson TX2 Module

Axiomtek has unveiled eBOX560-900-FL fanless embedded computer equipped with an NVIDIA Jetson TX2 module, two Gigabit Ethernet ports,  a HDMI 2.0a port, an NVMe slot, etc. It also supports WiFi and LTE connectivity for gateway applications. The rugged computer runs Ubuntu 16.04, targets  high performance AI workloads such as machine vision, deep learning, and edge computing, and comes with IP40 protection, vibration resistance, and -10 to 50°C temperature range support. Axiomtek eBOX560-900-FL specifications: SoM – NVIDIA Jetson TX2 module with SoC – NVIDIA TX2 hexa-core processor with 2x Denver cores, 4x Arm A57 cores, and a 256-CUDA core NVIDIA Pascal GPU System Memory – 8GB 128-bit LPDDR4 @ 1866 MHz Storage – 32GB eMMC flash Storage – 1x M.2 2280 M-Key slot w/ PCIe 2.0 x4 (supports M.2 NVMe SSD) Video Output – 1x HDMI 2.0 with 4K2K support Connectivity 2x 10/100/1000 Mbps Ethernet (NVIDIA + Intel I210-IT) 802.11ac WiFI + Bluetooth with antennas Optional 3G/LTE modem via mPCIe socket …

A Closer Look at NVIDIA Jetson Xavier Developer Kit (Video)

NVIDIA Jetson Xavier Developer Kit

NVIDIA unveiled Jetson Xavier module and devkit last month, but the company did not release the full information, and for example we did not get any clear photo of the module and kit. Charbax did shot a video with more details at the time, but NVIDIA has now published more information about their upcoming $1,299 Jetson Xavier Developer Kit, including an introduction video which I’ll  embed at the end of this article. The first thing to understand is that the module is not actually used in the developer kit, and will only used in actual mass-produced products. The main  difference is the thermal solition. The development kit including a large heatsink, while the production module has a thermally conductive plate to let product designer select the most suitable thermal solution for their products. The specifications are still basically the same. For Jetson Xavier (production) module: SoC – NVIDIA Jetson Xavier with 8x 64-bit Armv8.2 processor with 8MB L2 cache and …

Raspberry Pi 3 and Movidius Neural Compute Stick to the Rescue Against Child Pornography

Raspberry Pi Powered Nudity Filter

Warning note: While there won’t be any NSFW photos in this post, there will be some photos of ladies in light clothing (e.g. bikini) and “naked” animals for testing purpose… Intel released Movidius Neural Compute Stick allowing low power image recognition at the edge earlier this year, and we’ve seen it work just fine with Raspberry Pi 3 board delivering three times the performance against an inference solution leveraging VideoCore IV GPU. Christian Haschek owns a photo hosting site (PictShare) which happens to run open source code with the same name, and allows user to upload images anonymously. However, he soon found out that at least one user uploaded some child pornography. He contacted the authorities, but then wondered whether there may be others? Since there are simply too many photo on the website to look it up manually, he decided to look for a solution, and went with a few Raspberry Pi 3 boards, some Neural Compute Sticks, as …

Imagination Unveils PowerVR AX2185 and AX2145 Neural Network Accelerators (NNA)

PowerVR AX2185

Imagination Technologies introduced PowerVR Series2NX neural network accelerator (NNA) last year. At the time, the company claimed the NNA would deliver  twice the performance at half the bandwidth over existing competing solutions, and that it was the first dedicated hardware solution with flexible bit-depth support from 16-bit down to 4-bit. What they did not announce last September were any specific parts. But they’ve just done that today with PowerVR AX2185 and AX2145 NNAs “designed to enable high-performance computation of neural networks at very low power consumption in minimal silicon area”. PowerVR AX2185 PowerVR AX2185 is said to be the highest performing neural network accelerator per mm2 in the market with eight full-width compute engines delivering up to 4.1 TOPS (Tera Operations Per Second), or 2,048 MACs/clock. AX2185 NNA can deliver 3.5 times the performance compared to a desktop GPU. The NNA is best suited for high-end smartphones, smart surveillance and automotive markets. PowerVR AX2145 PowerVR AX2145 is a lower cost …

NVIDIA Introduces Jetson Xavier Devkit and Isaac Robotics Software

NVIDIA Jetson Xavier

NVIDIA Xavier was first unveiled in September 2016 as an artificial intelligence SoC with eight NVIDIA Custom 64-bit Arm cores, a 512-core Volta GPU,  8K video encoding and decoding, and a computer vision accelerator (CVA) now called NVDLA (NVIDIA Deep Learning Accelerator). Earlier this year, the company announced Xavier was sampling,  and DRIVE IX & DRIVE AR SDKs for the automotive market. On the eve of Computer 2018, NVIDIA has introduced Jetson Xavier development kit, as well as Isaac robotics software for autonomous machines. Jetson Xavier key specifications: SoC – NVIDIA Xavier with 8-core ARMv8.2 64-bit CPU, 8MB L2 + 4MB L3 512-core Volta GPU with Tensor Cores 2x NVDLA engines for deep learning 7-way VLIW Processor for vision acceleration VPU with dual 4Kp60 video decoding and encoding System Memory – 16GB 256-bit LPDDR4x | 137 GB/s Storage – 32GB eMMC 5.1 flash Display – 3x eDP/DP/HDMI at 4Kp60 | HDMI 2.0, DP HBR3 Camera 16x CSI-2 Lanes (40 Gbps …

UP AI Edge Enables Artificial Intelligence on the Edge with Intel CPU, GPU, VPU and FPGA Solutions (Crowdfunding)

UP-Squared AI Vision Development Kit

Back in February of this year, AAEON introduced their UP AI Edge family of products with UP AI Core mini PCIe card based on Intel Movidius Myriad 2 VPU (Vision Processing Unit), and UP Core Plus board powered by a choice of Apollo Lake processors, and supporting AI Plus FPGA and AI Net Ethernet expansion boards. The company has now launched a Kickstarter campaign for those boards, and added several new products including Vision Plus with three Movidius Myriad 2 VPUs, AI Core M2 with two Movidius Myriad2 VPU in M.2 2280 form factor, as well as the Up Squared AI vision development kit for OpenVINO toolkit. I won’t go through the products announced in February, but let’s have look at the new boards and cards. Vision Plus Board Vision Plus Specifications: VPU – 3x Intel Movidius Myriad 2 VPUs with 512 MB DDR Connectivity – 1x Gigabit Ethernet USB – 2x USB 3.0 port Expansion – 1x mPCIEe for …

Qualcomm Snapdragon 710 Brings AI To Mid-Range Smartphones

Qualcomm Snapdragon 710

Neural processing units (NPU) – also called Neural network accelerators (NNA) – can now be found in all premium smartphone SoCs in order to assist with artificial intelligence applications such as object recognition, face unlock, and better photography. There seems to be a trend now to add such AI accelerators into what some refers to as mid-range premium smartphones, and Qualcomm Snapdragon 710 mobile platform is another of those processors placing itself between mid range Snapdragon 600 series and premium Snapdragon 800 series. Qualcomm Snapdragon 710 mobile platform (SDM710) specifications: CPU – 8x Qualcomm Kryo 360 CPU @ up to 2.2 GHz (in two clusters) GPU – Qualcomm Adreno 616 Visual Processing Subsystem supporting  OpenGL ES 3.2, OpenCL 2.0, Vulkan, DirectX 12 DSP – Qualcomm Hexagon 685 DSP with 3rd Gen Qualcomm Hexagon Vector Extensions (HVX),  Qualcomm All-Ways Aware Sensor Hub Memory I/F – LPDDR4x, 2x 16-bit up to 1866MHz, 8GB RAM Storage I/F – No info provided Display – Up …