sdk News - Page 16 of 53 - CNX Software

March 14, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Android Q Beta and Preview SDK Released

Google has just announced the first public release of Android Q dubbed “Beta 1”- for Pixel devices only – as well as the corresponding preview SDK for developers. Android Q is said to bring additional privacy and security features for users, enhancements for foldables, new APIs for connectivity, new media codecs and camera capabilities, NNAPI extensions, Vulkan 1.1 support, faster app startup, and more. What’s new in Android Q Privacy protections improvements More control over location with multiple options to “allow all the time”, “allow only while the app is in use” (e.g. not while running in the background), and “deny” Users will be able to control apps’ access to the Photos and Videos or the Audio collections via new runtime permissions Android Q will prevent apps from launching an Activity while in the background, relying on high-priority notifications instead Access to non-resettable device identifiers, including device IMEI, serial number, […]

March 11, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

HiSilicon Hi3559A Board Enables Smart 8K Camera Development

HiSilicon Hi3559A 5-core Arm Cortex A73/A53 camera processor was announced in 2017 with support for 8K 30fps or 4K 120fps video recording, as well as an integrated dual core neural network accelerator (NNA). It should not be confused with the earlier Hi3559 4K 30 fps processor, or the newer Hi3559C that looks to be the same as Hi3559A without the NNA. Nevertheless, today I was lead to check about Hi3559A processor once again, and I could not find any camera that you can just buy and use today. I still found some upcoming Hi3559A products with OBSBOT Tail AI camera offered for as low as $509 on Kickstarter (delivery scheduled for April 2019), one 4K 120fps OEM? camera from GKuvision, as well as an HiSilicon Hi3559A development board for 8K camera applications, which I’ll look into more details in this blog post. HI3559AV100DMEB specifications: SoC – Hisilicon Hi3559A V100 with […]

November 22, 2018June 4, 2019 by Jean-Luc Aufranc (CNXSoft) - 10 Comments

Orange Pi AI Stick 2801 Neural Compute Stick SDK & Documentation Released

We covered the launch of Orange Pi AI Stick 2801 neural compute stick a few days ago, the first easily available Gyralcon Lightspeeur based USB stick, and noted that while the hardware was there, we had no details about software development kit and documentation at the time. I’ve got some more information now. First, the company release an English presentation about the neural stick, and while it’s not technical documentation, it provides insights into what it is capable of, and an overview about the workflow. More importantly, Shenzhen Xunlong Software also released Orange Pi AI Stick SDK and user manual for x86 PC, as well as cat/dog data and pre-trained models to get started. However, if you want to perform training with your own data, you’ll need to purchase the stick plus PLAI model transformation and training tools sold on Aliexpress for $218 plus shipping, that’s $69 for the hardware, […]

November 15, 2018November 15, 2018 by Jean-Luc Aufranc (CNXSoft) - 23 Comments

MAIX Development Boards with Sipeed M1 RISC-V AI Module Launched for $5 and Up (Crowdfunding)

Sipeed M1 (aka MAIX-I)is a compact module based on Kendryte K210 dual core RISC-V processor designed for low power artificial intelligence workloads at the edge, such as face detection, object recognition, or audio processing. The module and some development boards are available on Taobao for the Chinese market, as well as YOYCart for the rest of the world, but the company has now launched several MAIX boards based on M1 module through an Indiegogo campaign with price starting at just $5 a piece. Sipeed MAIX Bit (aka MAIX Micro) is the cheapest one at $5 (early bird) / $6 with the following specifications: SoC – Kendryte K210 dual core 64-bit RISC-V processor @ 400 MHz (overclockable up to 800 MHz) with KPU CNN hardware accelerator APU audio hardware accelerator with support for up to 8 mics, up to 192 KHz sample rate FPIOA (Field Programmable IO Array) mapping 255 functions to […]

August 1, 2018August 1, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

GAPUINO GAP8 is a $229 RISC-V MCU Developer Kit for A.I. Applications

GreenWaves GAP8 is a low power RISC-V “MCU class” processor with eight compute cores optimized for artificial intelligence applications, and its main selling point is the ability to do tasks like computer vision or audio processing at very low power, even good enough to run on batteries. When we first covered GAP8 RISC-V processor at the beginning of the year, the company also mentioned a development kit comprised of GAPDUINO Arduino compatible board, a sensor board, and a QVGA camera module to experiment with the solution. The board and development kit are now easier to purchase as the devkit is sold on SeeedStudio for $229. GAPuino board specifications: SoC – GAP8 IoT Application Processor with 8x RISC-V compute cores, 1x RISC-V fabric controller core delivering up to 200 MOPS at 1mW and >8 GOPS at a few tens of mW Memory / Storage – HyperBus combo DRAM/Flash with 512 Mbit […]

July 20, 2018July 21, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

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

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 – […]

June 8, 2018June 8, 2018 by Jean-Luc Aufranc (CNXSoft) - No Comments

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 […]

June 4, 2018July 12, 2018 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

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 | […]