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 […]
Imagination Unveils PowerVR AX2185 and AX2145 Neural Network Accelerators (NNA)
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 […]
NVIDIA Introduces Jetson Xavier Devkit and Isaac Robotics Software
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 | […]
UP AI Edge Enables Artificial Intelligence on the Edge with Intel CPU, GPU, VPU and FPGA Solutions (Crowdfunding)
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 […]
Qualcomm Snapdragon 710 Brings AI To Mid-Range Smartphones
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 680 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 […]
UMIDIGI Z2 Pro is one of the first Smartphones based on MediaTek Helio P60 SoC
MediaTek unveiled Helio P60 Cortex A73/A53 processor with AI HW acceleration a few months ago, and we were promised smartphones would start selling in Q2 2018. Mediatek’s partners seem to be right on schedule, as several MediaTek Helio P60 smartphones have now been announced, including UMIDIGI Z2 Pro, which we’ll cover in this post. Specifications for UMIDIGI Z2 Pro smartphone: SoC – MediaTek Helio P60 big.LITTLE octa-core processor with four Arm Cortex-A73 up to 2.0 GHz, four Arm Cortex-A53 up to 2.0 GHz, Arm Mali-G72 MP3 GPU at 800MHz, and a multi-core AI processing unit System Memory – 6GB RAM Storage – 128GB flash, micro SD slot up to 256 GB Display – 6.2″ FHD+ (1080 x 2246) display with 403 PPI Camera 16MP + 8MP rear camera, 5-element lens, Samsung sensor, dual LED flash, face recognition 16MP + 8MP front-facing camera, ƒ/2.0 aperture, Sony sensor, face recognition Video recordings […]
Two Interesting Projects on Github: Zigbee to MQTT bridge & “Deep Painterly Harmonization”
Hey Karl here. I thought I would try and showcase some GitHub projects that I run into that seem interesting or fun. This week I will start out with 2 projects. Zigbee to MQTT bridge The first one today is a Zigbee to MQTT bridge. Previously we did a couple articles with 433MHz bridges for home automation, a diy RF bridge and one by Sonoff. This bridge is similar but with Zigbee. Unfortunately 433MHz typically have one way communications, and when a message is sent there is no response and the system has to assume the message is received. Zigbee is a 2 way protocol and an acknowledgement can be sent back. The code is moving fast right now and blowing up my GitHub notices. It is a little bit of a mystery on how this works right now with the parts list, but seems to be working for some […]
AAEON Releases an Intelligent Vending Machine Development Kit based on UP Board
UP board is a low cost development board powered by an Intel Atom x5-Z8350 Cherry Trail processor with 1GB to 4GB RAM, and 16 to 64GB eMMC flash that mostly follows Raspberry Pi 3 form factor. AAEON is now offering an “intelligent vending development kit” featuring UP board together with a vending machine controller (VMC) board, a motor for the machine’s internal mechanisms, a camera, a QR Code device, and all the necessary cables, as well as optional WiFi and Bluetooth modules. Some details about AIOT-MSSP01 Mini SSP Vending control board: “Intel Intelligent Vending Based” Motor Control – 24V or 12V, Supports GPIO, DC, PWM Type, Supports up to 160 DC Motors Support LCD and Keypad Feature I/Os Vending machine specific interfaces / standards 1x MDB (MultiDrop Bus) 1x DEX (Digital EXchange) 1x Protocol A (EXE) 1x 1-WIRE 4-channel ADC x 1 4-channel Relay GPIO for 12V & 5V by […]