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January 25, 2019January 25, 2019 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

96Boards HiChips Parrot Board and 3-Mic Array Work with Amazon Alexa

96boards Parrot Board Amazon-AVS 3-Mic far field board

Early last year, Banana Pi unveiled Allwinner SoC-Only 3-Mic Far-Field Development Kit for Amazon AVS, a board powered by Allwinner R18 processor extended with an external 3-mic array board, officially supported by Amazon Alexa Voice Service (AVS), and sold for $129 plus shipping. There’s now a compatible board following 96Boards CE Extended form factor, and selling for just $79.99 plus shipping on Alibaba or 555.99 CNY on 1688.com. The board looks almost the same as the original 3-Mic far-field development kit, apart from the LS and HS connectors found in the 96Boards hardware platforms. Hichips Parrot board should not be confused with Allwinner R16 based Parrot board that was used by Allwinner internally, and never made available to the general public. Hichips Parrot board specifications: SoC – Allwinner R18 quad-core Cortex-A53 processor @ 1.15GHz with Mali400MP2 GPU System Memory – 1GB DDR3 Storage – 8GB eMMC flash, micro SD card […]

January 24, 2019January 24, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Intel RealSense Tracking Camera T265 is Designed for Autonomous Devices

Intel has just launched another smart camera with RealSense Tracking Camera T265 powered by the company’s Myriad 2 VPU (Vision Processing Unit) also found in the first Neural Compute Stick, and designed for autonomous robots, drones, and augmented/virtual reality applications. The T265 camera is said to use proprietary visual inertial odometry simultaneous localization and mapping (V-SLAM) technology “delivering high-performance guidance and navigation”. Intel RealSense tracking camera T265 hardware specifications: VPU – Intel Movidius Myriad 2 vision processing unit with 12 VLIW 128-bit vector SHAVE processors optimized to run V‑SLAM at low power Cameras – 2x Omnivision OV9282 high-speed image sensors with Fisheye lenses for a combined 163±5° FOV; infrared cut filter Sensor – Bosch BMI055 6-axis IMU (Inertial Measurement Unit) to measure rotation and acceleration of the device USB – 1x USB 3.1 Gen 1 Micro B port to transfer pose data, or pose + image data. Dimensions – 108 x 24.5 x 12.5 mm; 2x […]

January 22, 2019May 31, 2019 by Jean-Luc Aufranc (CNXSoft) - 14 Comments

Toybrick RK3399Pro Board is equipped with Rockchip RK3399Pro AI processor

We’ve heard about Rockchip RK3399Pro processor that adds an NPU (Neural-network Processing Unit) to Rockchip RK3399 hexa-core processor for about a year now. We’ve seen the official Rockchip RK3399Pro EVB in action last November, but this type of board is not usually for sale to the general public. The first RK3399Pro board that you could technically spend money on was Khadas Edge-1S via a crowdfunding campaign, but it’s still unclear when it will ship. Another option that I just discover is Toybrick RK3399Pro (TB-RK3399Pro) single board computer by VAMRS. Toybrick RK3399Pro board preliminary specifications: SoC – Rochchip RK3399Pro hexa-core big.LITTLE processor with 2x Cortex A72 cores up to 1.8/2.0 GHz, 4x Cortex A53 cores @ 1.4 GHz, and an Arm Mali-T860 MP4 GPU with OpenGL ES 1.1 to 3.2, OpenVG1.1, OpenCL 1.2 and DX 11 support, and NPU delivering up to 3 TOPS System Memory – 3 or 6 GB […]

January 10, 2019 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Test AI Performance in Android with AI Benchmark App

Many new phones now come with Silicon-on-Chips (SoC) featuring a Neural Processing Unit (NPU) or similar IP block(s) aiming to accelerate A.I workloads such as facial recognition or object detection. Some silicon vendors will report performance in terms of TOPS (Trillion of Operation per Seconds) with for example 2.25 TOPS for the latest Mediatek Helio P90 processor, or 4.20 TOPS for Hisilicon Kirin 980 SoC. However, those numbers can be deceptive, and nothing beats actual tests. However, last time I checked Android benchmarks such as Antutu do not include tests specific to artificial intelligence just yet. Luckily there’s already an app for that called AI-Benchmark which you’ll find on Google Play. The benchmark includes 9 tasks: Object Recognition / Classification with MobileNet – V2 Object Recognition / Classification with Inception – V3 Face Recognition with Inception ResNet V1 Image Deblurring with SRCNN 9-5-5 neural network Image Super-Resolution with VGG – […]

January 9, 2019 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Rockchip RK1808 Cortex-A35 NPU Delivers up to 3.0 TOPS

Rockchip RK3399Pro was expected to be the first processor from the company featuring an NPU (Neural Processing Unit) to accelerate artificial intelligence workloads, but eventually went through a redesign, and the community found it gave birth to RK1808 NPU by looking at a device tree file in the Linux kernel. Rockchip has now made the NPU official at CES 2019, and we now know a little bit more. Here are the specifications shared by the company: Dual-core Arm Cortex-A35 CPU NPU computing performance up to 3.0TOPs supporting INT8/INT16/FP16 hybrid operation VPU supporting 1080P video codec Built-in 2MB system-level SRAM Display – MIPI/RGB video output Camera – MIPI/CIF/BT1120 Camera video signal input with built-in ISP Audio Microphone array support with hardware VAD function for low-power monitoring and far-field wake-up Audio output I/O PWM/I2C/SPI /UART USB3.0/USB2.0 PCIe interface Support for Gigabit Ethernet and external WiFi/Bluetooth modules Manufacturing – 22nm FD-SOI process It […]

January 9, 2019December 20, 2022 by Jean-Luc Aufranc (CNXSoft) - 11 Comments

TTGO T-Camera ESP32 Camera Board Comes with OLED Display, Sensors

ESP32 is now being used for AI workloads such as face detection with camera boards like ESP32-CAM, or the upcoming ESP-EYE board from Espressif Systems themselves, combined with ESP-WHO face detection and recognition framework. The two aforementioned board require you to use a phone to vizualize the results, unless you blink some LEDs or connect your own display. But the just released TTGO T-Camera board includes a 128×64 OLED display which should allow you to display face detection and/or recognition results, as well as a BME280 environmental sensor, a PIR sensor, and an optional fisheye lens. TTGO T-Camera board specifications: ESP32-WROVER-B Wireless Module SoC – ESP32 dual core Tensilica LX6 processor Memory – 8MB PSRAM Storage – 4MB SPI flash Connectivity – 2.4 GHz 802.11n WiFi 4, Bluetooth 4.2 LE Camera – 2MP OV2640 camera with normal or fisheye lens Display – 0.96″ 128×64 OLED display connected via SSD1306 I2C […]

January 3, 2019January 3, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

LG Unveils 8K, HDMI 2.1 Capable TVs Powered by Alpha 9 Gen 2 Processor

Last year Samsung unveiled their first 8K TV right before CES 2018 with a 85″ QLED model that can now be yours for a cool $15,000, and capable of upscaling SD / HD content to 8K using artificial intelligence since 8K content was not – and still is not – broadly available. One year has passed, and now LG has announced two new 8K TVs with HDMI 2.1 inputs just before CES 2019. Both 88″ Z9 OLED TV and 75″ SM99 8K LCD TV are powered by the company’s α9 (Alpha 9) Gen 2 processor running deep learning algorithms to deliver enhanced picture and sound. The press release gives an overview of how AI works on both video and audio as follows: In addition to content source detection, the new processor finely adjusts the tone mapping curve in accordance with ambient conditions to offer optimized screen brightness, leveraging its ability […]

January 2, 2019 by Jean-Luc Aufranc (CNXSoft) - 25 Comments

ESP-EYE ESP32 AI Development Board Supports Face detection, Voice wakeup

Sometimes last month, Espressif Systems contacted me to send a mysterious new development kit together with a 10-year anniversary T-shirt, an offer I found hard to decline 🙂 So I got a new year present this morning delivered by DHL… The letter lists the main specifications of ESP-EYE development board: WiSoC- ESP32 dual core Tensilica LX6 processor with WiFi and Bluetooth Memory – 8MB PSRAM Storage – 4MB flash Camera – 2MP OV2640 camera Audio – Microphone USB – 1x micro USB port for power and programming Misc – Reset, boot and function buttons, 2x LEDs Dimensions – 41 x 21 mm It reminds me of ESP32-CAM camera board, except it adds a microphone, it’s even smaller, and as an official Espressif board, software support might be better. AI features such as face recognition or detection, and voice wake-up are supported out of the box. The board ships with a […]