Intel RealSense D435i Stereo Depth Camera Supports 6 Degrees of Freedom Tracking

RealSense D435i Camera

First unveiled in CES 2014, Intel RealSense Technology was introduced for perceptual computing application with hardware such as 3D sensing cameras, as well Nuance Dragon Assistant voice technology. Since then the company release various 3D sensing camera models and kits such as Realsense R200 Depth Camera robotics development kit, and just announced the new RealSense D435i stereo depth camera which adds 6 DoF (Degrees of Freedom) tracking over D435 model thanks to an inertial measurement unit (IMU). Intel RealSense Depth Camera D435i key features and specifications: Intel RealSense Vision Processor D4 – Purpose-built ASIC designed to deliver stereo depth data at up to 90fps at VGA resolutions or up to 1280×720 resolution at 30fps Intel RealSense module D430 – Depth camera imaging sub-system featuring a wide field of view (91.2 horizontal x 65.5 degrees vertical), global shutter stereo image sensors and an IR projector Depth Technology – Active IR stereo Inertial Measurement Unit (IMU) Image Sensor Technology – Global Shutter; …

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Nubia X Dual Screen Smartphone Drops the Selfie Camera

Smartphone without front-facing camera

Consumers don’t seem to be fans of bezels, so manufacturers try to keep them as small as possible, and many phones are now launched with a notch for the front-facing camera, and some with a front-facing camera that pops up during use. The former is not eye-pleasing to some users, and the latter may not feel robust. Nubia X smartphone does away with either simply because the company dropped the front-facing camera, instead relying on the rear camera plus a second screen on the back for selfies. This setup enables an utra-slim bezel on all four sides. Nubia X specifications: SoC – Snapdragon 845 octa-core processor with 4x Kryo 385 Gold cores @ up to 2.65 GHz, 4x Kryo 385 Silver cores @ up to 1.80 GHz, Adreno 630 GPU System Memory + Storage –  6GB LPDDR4X + 64GB storage, or 8GB LPDDR4X + 128 GB storage Displays 6.26″ main display with 2280×1080 resolution 5.1″ rear display with 1520×720 resolution Camera …

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Qualcomm Snapdragon 675 Cortex-A76 based Processor Targets High-Tier Mid-Range Smartphones

Snapdragon 675

Last August, Qualcomm unveiled Snapdragon 670 processor with performance and efficiency Kryo 360 cores believed to be based on Cortex-A75 and Cortex-A55 cores, but the company has just announced an update with Snapdragon 675 mobile platform powered by Kryo 460 cores which are based on Arm Cortex-A76  according to Anandtech, and so far, Cortex-A76 was only found in “premium” processors such as HiSilicon Kirin 980. Beside the upgrade cores, the company also claims the processor brings “outstanding gaming, a leap in artificial intelligence (AI) capability and a cutting-edge camera”. Snapdragon 675 main specifications: CPU 2x Kryo 460 (Cortex-A76 based) @ 2.0GHz with 256KB L2 6x Kryo 460 (Cortex-A55 based) @ 1.8GHz with 64KB L2 GPU – Adreno 612 DSP – Hexagon 685, Qualcomm AI Engine Display – Support for FHD+ display Camera – Spectra 250L ISP with triple-camera support Audio – Qualcomm aptX and Aqstic Modem – Snapdragon X12 LTE (Category 12/13) with downlink up to 600Mbps 3x20MHz CA, 256-QAM, …

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Tiny NanoPi Duo2 Board Comes with WiFi, a Camera Interface, an Optional 2G-IoT Dock

NanoPi Duo2 2G IoT Carrier Board

NanoPi Duo was launched last year as an ultra-cheap ($8+) Arm Linux board that fits into a breadboard. The board was powered by Allwinner H2+ processor coupled with 256 or 512MB RAM, and the infamous XR819 802.11b/g/n WiFi chip. FriendlyElec has now launched NanoPi Duo2, that’s still breadboard compatible, but with a slightly longer form factor, Allwinner H3 processor, 512 MB RAM, better WiFi thanks to an AP6212 module, and an extra camera interface. As we’ll see further below the company also developed a carrier board for 2G cellular IoT applications. NanoPi Duo2 specifications with highlights in bold showing differences again NanoPi Duo: SoC – Allwinner H3 quad core Cortex A7 processor @ 1.2 GHz with Mali-400MP2 GPU System Memory – 512 MB DDR3 SDRAM Storage – micro SD card slot, footprint for SPI flash Connectivity – 802.11 b/g/n WiFi + Bluetooth 4.0 LE (Ampak AP6212  module) with chip antenna, and u.FL/IPEX connector for external antenna USB – 1x micro …

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ESP32-CAM is a $10 ESP32 Camera Development Board

ESP32-CAM

Espressif Systems ESP32 has many new interfaces over ESP8266, but still lacks a hardware camera interface like DVP or MIPI CSI. However, it’s still possible to connect a camera to the I2S interface. What? Isn’t I2S used for audio? It turns out there’s more to ESP32’s “I2S  interface” as pointed out in the forums: The I2S subsystem in the ESP32 also provides a high speed bus connected directly to RAM for Direct Memory Access. Putting it simply, you can configure the ESP32 I2S subsystem to send or receive parallel data under hardware control. There were some ESP32 camera boards launched previously such as ESP32-PICO-tinyCAM, but most seem to have been phased out. However not is all lost, as Seeed Studio is now taking pre-orders for the new A.I. Thinker ESP32-CAM board with a 2MP camera for $9.90. ESP32-CAM board specifications: Wireless Module- ESP32-S WiFi 802.11 b/g/n + Bluetooth 4.2 LE module with PCB antenna, u.FL connector, 32Mbit SPI flash, 4MBit …

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OpenMV Cam H7 MicroPython Machine Vision Camera Launched on Kickstarter

OpenMV CAM H7

OpenMV team has launched an upgrade to their popular OpenMV CAM M7 machine vision camera, with OpenMV CAM H7 replacing the STMicro STM32F7 micro-controller by a more powerful STM32H7 MCU clocked at up to 400 MHz. Beside having twice the processing power, the new camera board also features removable camera modules for thermal vision and global shutter support. OpenMV CAM H7 camera board specifications: MCU – STMicro STM32H743VI Arm Cortex M7 microcontroller @ up to 400 MHz with 1MB RAM, 2MB flash. External Storage – micro SD card socket supporting up to 100 Mbps read/write to record videos and store machine vision assets. Camera modules Omnivision OV7725 image sensor (default) capable of taking 640×480 8-bit Grayscale /  16-bit RGB565 images at 60 FPS when the resolution is above 320×240 and 120 FPS when it is below; 2.8mm lens on a standard M12 lens mount Optional Global Shutter camera module to capture high quality grayscale images not affected by motion blur Optional …

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Lindenis V5 Allwinner V5 SBC is Designed for AI Video Processing, 4K Encoding

Allwinner V5 SBC

Allwinner V5 V100 is a new quad core Cortex A7 processor targeting 4K 30 fps (Linux)  cameras, and integrating AIE intelligent analytic acceleration engine handling motion detection, perimeter defense video diagnosis, and face detection. Usually, it’s pretty hard to get a development board based on a new processor, but Lindenis V5 single board computer based on the processor is already available in China, and comes with 1 to 2GB RAM, HDMI 1.4 and MIPI DSI video outputs, dual MIPI CSI video outputs, Gigabit Ethernet and more. Lindevis V5 SBC specifications: SoC – Allwinner V5 Quad core Arm Cortex-A7 processor @ up to 1,512 MHz with NEON, VFPv4 FPU 4K @ 30 fps H.265/H.264 encoder and decoder Dual ISP [email protected] + [email protected] AIE (AI Engine) Architecture – Built-in with intelligent analytics acceleration engine with support for motion detection, perimeter defense, video diagnosis, face detection, flow statistics. Supports binocular depth map. System Memory – 1 or 2GB RAM Storage – Micro SD …

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Embedded Linux Conference Europe & OpenIoT Summit Europe 2018 Schedule

Embedded Linux Conference OpenIOT Summit Europe 2018

The Embedded Linux Conference & OpenIoT Summit 2018 took place in March of this year in the US, but the European version of the events are now planned to take place on October 21-24 in Edinburg, UK, and the schedule has already been released. So let’s make a virtual schedule to find out more about some of interesting subjects that are covered at the conferences. The conference and summit really only officially start on Monday 22, but there are a few talks on Sunday afternoon too. Sunday, October 21 13:30 – 15:15 – Tutorial: Introduction to Quantum Computing Using Qiskit – Ali Javadi-Abhari, IBM Qiskit is a comprehensive open-source tool for quantum computation. From simple demonstrations of quantum mechanical effects to complicated algorithms for solving problems in AI and chemistry, Qiskit allows users to build and run programs on quantum computers of today. Qiskit is built with modularity and extensibility in mind. This means it is easy to extend its …

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