sdk News - Page 17 of 53 - CNX Software

May 24, 2018May 24, 2018 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Android 8.1 Firmware and SDK Released for Orange Pi 4G-IoT Board

When Orange Pi 4G-IoT board launched a few months ago, it shipped with a not so recent Android 6.0 operating system. But the good news is that Shenzhen Xunlong Software has now released Android 8.1 firmware for their Mediatek MT6737M quad core Cortex A53 LTE Cat 4 board, as well as the corresponding SDK. This makes it the cheapest Android 8.1 board with LTE connectivity available on the market so far as it goes for just under $50. The SDK is a large tarball (22.6 GB) split into 11 smaller files. It’s hosted on MEGA so download is fairly fast, but due to the size I had to install MEGA Sync software in order to download it easily. Once the download is complete, it’s not recognized in Nautilus, but you can extract the SDK as follows in a terminal:

cd 4G-IOT_Android 8.1 SDK
cat x* &gt; OrangePi_4G-IOT_Android8.1.tar.gz
tar xvf OrangePi_4G-IOT_Android8.1.tar.gz

cd 4G-IOT_Android 8.1 SDK

cat x* > OrangePi_4G-IOT_Android8.1.tar.gz

tar xvf OrangePi_4G-IOT_Android8.1.tar.gz

This will take a while and extract over a million […]

May 16, 2018 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Sens’it Discovery is a Sigfox IoT Solution with 6 Sensors

Sigfox has just launched Sens’it Discovery, which they describe as a “end-to-end IoT solution, which aims to accelerate the adoption of the IoT (Internet of things) among business and technical professionals”. The solution is comprised for Sens’it 3 device with 6 sensors, sensit.io application, and Sigfox connectivity. Sens’it 3 hardware specifications: MCU – STM32 micro‑controller Connectivity TI CC1125 radio transceiver Sigfox Ready class 0U Frequencies – 868 to 869.7 MHz, 902 to 908 MHz, or 923.2 MHz (TX) / 922.2 MHz (RX), or 920 to 925 MHz depending on region Transmit Power emission – 14 dBm ERP (RC1), 22 dBm ERP (RC2), 10 dBm ERP (RC3), 22 dBm ERP (RC4) Sensors Thermometer (HTS221) – -40 to 120°C / Accuracy ± 0.5°C Humidity (HTS221) – 0 to 100 / Accuracy ± 3.5% rH (20 to +80% rH) Accelerometer (FXOS8700) – ±2, 4, 8 g / Accuracy 0.244, 0.488, 0.976 mg Magnetometer (FXOS8700) […]

April 17, 2018 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Nordic Semiconductor nRF52840 Multiprotocol SoC Adds Support for Zigbee 3.0

Nordic Semiconductor nRF52840 was introduced in late 2016 as one of the first Bluetooth 5 ready SoC, and it’s the only part from Nordic that fully supports Bluetooth 5 longer range. But the chip is actually a multiprotocol SoC and beside Bluetooth, 802.15.4, Ant, Thread and 2.4 GHz proprietary are also supported. The company has now announced one more wireless protocol working on nRF52840: Zigbee 3.0. The company has released the first engineering release for Zigbee on nRF52840, but the production grade Zigbee 3.0 certified release is planed for H2 2018. The new protocol will be enabled in the S410 v6.0 SoftDevice release. Bluetooth and Zigbee can run concurrently meaning for example you could create an nRF52840 gateway to control Zigbee smart lights from a smartphone connected over Bluetooth 5. The SDK includes examples for concurrent operation of Zigbee and Bluetooth 5 for a smart light bulb and switch. The […]

April 12, 2018August 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Qualcomm QCS603/QCS605 “IoT” SoCs are Designed for AI and Computer Vision Applications

Qualcomm has unveiled the “Qualcomm Vision Intelligence Platform”, which aims at IoT devices with cameras leveraging artificial intelligence and computer vision. The first SoCs part of the platform are QCS605 and QCS603 manufactured with a 10nm process and equipped with an “advanced image signal processor” and the Qualcomm Artificial Intelligence (AI) Engine, as well Arm CPU cluster, Adreno GPU, and Hexagon DSP. QCS603 & QCS605 specifications: CPU QCS603 – 2x 1.6GHz Qualcomm Kryo 300 Gold cores, 2x 1.7GHz Qualcomm Kryo 300 Silver cores QCS605 – 2x 2.5GHz Qualcomm Kryo 300 Gold cores, 6x 1.7GHz Qualcomm Kryo 300 Silver cores Qualcomm Artificial Intelligence Engine DSP Qualcomm Hexagon 685 Vector Processor 2x Qualcomm Hexagon Vector eXtensions (HVX) GPU – Qualcomm Adreno 615 with OpenGL ES 3.2, Vulkan, OpenCL support Neural Processing – Qualcomm Snapdragon Neural Processing Engine programming interface with support for Tensorflow, Caffe/Caffe2, ONNE, Android NN; 2.1 TOPS @ 1w Memory […]

April 7, 2018 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Espressif ESP-ADF Audio Development Framework for ESP32 Supports Baidu DuerOS, and Soon Amazon Alexa, Google Assistant, etc…

Espressif Systems have been working on audio applications like Smart Speakers based on ESP32 WiSoC with hardware development kits like ESP32-LyraTD-MSC Audio Mic HDK, and I could test it with Baidu DuerOS using Mandarin language. However, at the time (February 2018), there was not much else that could be done with the hardware kit, since no corresponding ESP32 audio software development kit had been made available. This has now changes since Espressif has just released ESP-ADF Audio Development Framework on Github. The framework will support the development of audio applications for the Espressif Systems ESP32 chip such as: Music player or recorder handling MP3, AAC, WAV, OGG, AMR, SPEEX … audio formats Play music from network (HTTP), storage (SD card), Bluetooth A2DP/HFP Integration with Media services such as DLNA, Wechat, etc.. Internet Radio Voice recognition and integration with voice services such as Alexa, DuerOS, Google Assistant As we can see […]

March 20, 2018March 20, 2018 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

PHYTEC Introduces phyCORE SoMs & Devkits Based on NXP i.MX8, i.MX 8M, or i.MX 8X Processors

PHYTEC, an embedded systems company headquartered in Germany with global offices, has updated their phyCORE systems-on-module family with 3 sub-families of modules based on NXP i.MX 8, i.MX 8X, or i.MX 8M dual or quad core processors for a total of 9 modules. phyCORE-i.MX 8 Specifications: SoC – NXP i.MX 8Quad, i.MX 8QuadPlus or i.MX 8QuadMax Arm Cortex-A72/A53/M4F processor @ up to 1.6 GHz with Tensilica HiFi 4 DSP @ 666 MHz, 2x Vivante GC7000XSVX GPUs System Memory – 1 to 8GB LPDDR4 RAM Storage – 64MB to 256MB Octal SPI/DualSPI SPI NOR Flash, 4 GB to 128 GB eMMC flash, 4kB EEPROM Connectivity – 2x Gigabit Ethernet PHY 4x 120-pin Board-to-board connectors with: Display – 2x LVDS, 2x MIPI DSI, 1x HDMI Video Input / Camera – 1x HDMI, 2x MIPI CSI Audio – 2x ESAI, up to 4x SAI Networking – 2x 10/100/1000 Mbit/s Ethernet USB – 1x […]

March 8, 2018 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Vulkan 1.1 and SPIR-V 1.3 Specifications Released

The Khronos Group released Vulkan 1.0 specifications in 2015 as a successor of OpenGL ES, compatible with OpenGL ES 3.1 or greater capable GPU, and taking less CPU resources thank to – for instance – better use of multi-core processors with support for multiple command buffers that can be created in parallel. A year later, we saw Vulkan efficiency in a demo, since then most vendors have implemented a Vulkan driver for their compatible hardware across multiple operating systems, including Imagination Technologies which recently released Vulkan drivers for Linux. The Khronos Group has now released Vulkan 1.1 and the associated SPIR-V 1.3 language specifications. New functionalities in Vulkan 1.1: Protected Content – Restrict access or copying from resources used for rendering and display, secure playback and display of protected multimedia content Subgroup Operations – Efficient mechanisms that enable parallel shader invocations to communicate, wide variety of parallel computation models supported […]

February 14, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

Arm’s Project Trillium Combines Machine Learning and Object Detection Processors with Neural Network Software

We’ve already seen Neural Processing Units (NPU) added to Arm processors such as Huawei Kirin 970 or Rockchip RK3399Pro in order to handle the tasks required by machine learning & artificial intelligence in a faster or more power efficient way. Arm has now announced their Project Trillium offering two A.I. processors, with one ML (Machine Learning) processor and one OD (Object Detection) processor, as well as open source Arm NN (Neural Network) software to leverage the ML processor, as well as Arm CPUs and GPUs. Arm ML processor key features and performance: Fixed function engine for the best performance & efficiency for current solutions Programmable layer engine for futureproofing the design Tuned for advance geometry implementations. On-board memory to reduce external memory traffic. Performance / Efficiency – 4.6 TOP/s with an efficiency of 3 TOPs/W for mobile devices and smart IP cameras Scalable design usable for lower requirements IoT (20 […]