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November 21, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

Nexell NXC100 Voice Recognition Chip, NXP4330Q Processor, and ALTO Development Board

I wrote about NanoPi Fire2 & Fire3A boards based on Nexell S5P processors a few days ago, and at the time, as I checked out Nexell website, I found out about the company’s NXC100 Voice Recognition SoC that can be used in 4-mic array board. The chip can then be connected through SPI to a host processor, and Nexell appears to have a NXP4330Q Smart Voice kit based on their quad Cortex A9 processor of the same name. But since documentation is really limited, I looked for more details, and came across NXP4330Q based ALTO board design by InSignal, which sold the Exynos powered Arndale boards a few years back. Nexell NXC100 Voice Recognition SoC The chip is the only product from the “A.I related” section of therir website, but more are likely to come out as the company is working on GP-GPU (General Purpose GPU), machine learning, and even registered […]

November 17, 2017 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Google Releases Tensorflow Lite Developer Preview for Android & iOS

Google mentioned TensorFlow Lite at Google I/O 2017 last may, an implementation of TensorFlow open source machine learning library specifically optimized for embedded use cases. The company said support was coming to Android Oreo, but it was not possible to evaluate the solution at the time. The company has now released a developer preview of TensorFlow Lite for mobile and embedded devices with a lightweight cross-platform runtine that runs on Android and iOS for now. TensorFlow Lite supports the Android Neural Networks API to take advantage of Machine Learning accelerators when available, but falls back to CPU execution otherwise. The architecture diagram above shows three components for TensorFlow Lite: TensorFlow Model – A trained TensorFlow model saved on disk. TensorFlow Lite Converter – A program that converts the model to the TensorFlow Lite file format. TensorFlow Lite Model File – A model file format based on FlatBuffers, that has been […]

October 28, 2017 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Intel Speech Enabling Developer Kit Works with Alexa Voice Service, Raspberry Pi 3 Board

We’ve known Intel has been working on Quark S1000 “Sue Creek” processor for voice recognition for several months. S1000 SoC is based on two Tensilica LX6 with HiFi3 DSP, some speech recognition accelerators, and up to 8x microphones interfaces which allows it to perform speech recognition locally. The solution can also be hooked to an application processor via SPI, I2S and USB (optional) when cloud based voice recognition is needed. Intel has recently introduced their Speech Enabling Developer Kit working with Amazon Alexa Voice Service (AVS) featuring a “dual DSP with inference engine” – which must be Quark S1000 – and an 8-mic array. The kit also includes a 40-pin cable to connect to the Raspberry Pi 3 board. Intel only provided basic specifications for the kit: Intel’s dual DSP with inference engine Intel 8-mic circular array High-performance algorithms for acoustic echo cancellation, noise reduction, beamforming and custom wake word […]

October 24, 2017October 24, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

JeVois Smart Machine Vision Camera Review – Part 1: Developer / Robotics Kit Unboxing

JeVois-A33 computer vision camera was unveiled at the end of last year through a Kickstarter campaign. Powered by an Allwinner A33 quad core Cortex A7 processor, and a 1.3MP camera sensor, the system could detect motion, track faces and eyes, detect & decode ArUco makers & QR codes, follow lines for autonomous cars, etc.. thanks to JeVois framework. Most rewards from KickStarter shipped in April of this year, so it’s quite possible some of the regular readers of this blog are already familiar the camera. But the developer (Laurent Itti) re-contacted me recently, explaining they add improves the software with Python support, and new features such as the capability of running deep neural networks directly on the processor inside the smart camera. He also wanted to send a review sample, which I received today, but I got a bit more than I expected, so I’ll start the review with an […]

October 11, 2017October 11, 2017 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

NVIDIA DRIVE PX Pegasus Platform is Designed for Fully Autonomous Vehicles

Many companies are now involved in the quest to develop self-driving cars, and getting there step by step with 6 levels of autonomous driving defined based on info from Wikipedia: Level 0 – Automated system issues warnings but has no vehicle control. Level 1 (”hands on”) – Driver and automated system shares control over the vehicle. Examples include Adaptive Cruise Control (ACC), Parking Assistance, and Lane Keeping Assistance (LKA) Type II. Level 2 (”hands off”) – The automated system takes full control of the vehicle (accelerating, braking, and steering), but the driver is still expected to monitor the driving, and be prepared to immediately intervene at any time. You’ll actually have your hands on the steering wheel, just in case… Level 3 (”eyes off”) – The driver can safely turn their attention away from the driving tasks, e.g. the driver can text or watch a movie. The system may ask […]

October 9, 2017October 9, 2017 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Google’s Teachable Machine is a Simple and Fun Way to Understand How Machine Learning Works

Artificial intelligence, machine learning, deep learning, neural networks… are all words we hear more and more today, as machines get the ability to recognize objects, answer voice requests / commands, and so on. But many people may not know at all the basics of how machine learning works, and with that in mind, Google launched Teachable Machine website to let people experiment and understand the basics behind machine learning without having to install an SDK or even code. So I quickly tried it with Google Chrome, as it did not seem to work with Mozilla Firefox. It’s best to have audio on, as a voice explains how to use it. Basically you connect your webcam, authorize Chrome too use it, and you should see the image in the input section on the left. After you’re being to train the machine in the learning section in the middle with three difference […]

October 5, 2017October 5, 2017 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Google Clips is an A.I. Camera Powered by Movidius Myriad 2 VPU

Most consumer cameras offers some ways for the photographer to check the framing of the picture, such as a viewfinder or LCD display, before pressing the button. The first time I saw a consumer camera without such features was with MeCam, a tiny snap-on camera that you can wear on your shirt, and just press a button to take a picture. Convenient, but no ideal as subjects were often out of frame with the camera pointing at the wrong angle. That was in 2013. But today, those cameras can be improved with artificial intelligence, and Google Clips is a camera without viewfinder nor LCD display that can allegedly take good photos – or short clips – automatically, acting in some ways like a human photographer, so that every human in the room / the whole family can be on the shot. Google Clips specifications: Vision Processing Unit – Movidius Myriad […]

October 5, 2017October 5, 2017 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Google Introduces Pixel 2 and Pixel 2 XL Smartphones running Android 8.0 on Snapdragon 835 SoC

When Google introduced Nexus brand, it aimed to provide affordable yet decently spec’d Android smartphone. The Nexus has now been deprecated, Google left the low/mid range market, leaving other fills the void, and instead launch the Pixel brand for premium devices. The company announced several new hardware devices yesterday, including two new Pixel smartphones: Pixel 2 and Pixel 2 XL, both powered by a Qualcomm Snapdragon 835 processor, and running the latest Android 8.0 Oreo. Both phones share most of the same specifications: SoC – Qualcomm Snapdragon 835 with 4x Kryo 280 “performance” cores @ 2.35GHz, 4x Kryo 280 “efficiency” cores @ 1.90GHz, Adreno 540 GPU, security module System Memory – 4GB LPDDR4x Storage – 64GB or 128GB flash Display Pixel 2 – 5.0″ always-on AMOLED display with 1920×1080 resolution (16:9 aspect ratio); 2.5D Corning Gorilla Glass 5 Pixel 2 XL – 6.0″ always-on pOLED display with 2880×1440 resolution (18:9 […]