IoT and embedded systems products 2018

This post is here to comments links and news on intetesting IoT products I see. I plan to post mainly information on new products, but sometimes I can post also information on older but what I see still relevat IoT products. I might also post here some embedded systems products that are not directly related to IoT as well.


  1. Tomi Engdahl says:

    Kniwwelino Is An ESP8266 Micro:Bit

    Kniwwelino is the latest in a line of micro:bit-inspired projects that we’ve seen, but this one comes with a twist: it uses an ESP8266 and WiFi at the core instead of the nR51 ARM/BTLE chip. That means that students can connect via laptop, cellphone, or anything else that can get onto a network.

    That’s not the only tradeoff, though. In order to get the price down, the Kniwwelino drops the accelerometer/magnetometer of the micro:bit for a programmable RGB LED. With fewer pins to break out, the Kniwwelino is able to ditch the love-it-or-hate-it card-edge connector of the micro:bit as well. In fact, with all these changes, it’s hard to call this a micro:bit clone at all — it’s more like a super-blinky ESP8266 development kit.

  2. Tomi Engdahl says:

    Is this true or april fools joke?

    Hackster Announces Project MagicDragon
    The World’s Largest All-In-One Hardware Development Tool

    Today we’re excited to announce Project MagicDragon, a smart hacker kit enhanced with a multi-screen display, artificial intelligence-driven interaction, unmatched wireless capabilities, secure over-the-air (OTA) updates, and compatibility with Arm, RISC-V, Leg, SPARK, and x86 architectures.

    Project MagicDragon is a modular, fully open source, and brand agnostic system equipped with everything a developer needs to bring their connected projects to life. This industrial-enterprise, hacker-ready tool is set to disrupt the semiconductor, cloud, AI, and IoT industries in one. Boasting an incredibly large, H-shaped form factor, Project MagicDragon is compatible with all of today’s leading platforms — like Arduino, Raspberry Pi, BeagleBoard, Particle, and ESP, among others — and supports most wireless protocols including Wi-Fi, BLE, 2G/3G, telepathy, LTE Cat-M1, Zigbee, Morse Code v1, LoRa, Sigfox, LAN, WAN, Sign Language, AOL dial-up and satellite VSAT communications.

    In terms of software, Project MagicDragon can be programmed via nearly every popular IDE and supports a wide range of services, such as AWS, Amazon Alexa, Microsoft Azure, Android Things, Facebook Open Privacy Console, Google Cloud IoT Core, IBM Watson, IFTTT, and Windows 2000 Millennium Edition, to name just a few.

  3. Tomi Engdahl says:

    RealWear aims to dominate assisted reality market with head-mounted tablet

    In essence, the HMT-1 has almost all the same elements as an Android tablet, including a Qualcomm 8-core Snapdragon 625 processor, 16 GB of memory, Wi-Fi, and Bluetooth, along with USB and MicroSD slots. Those elements are reformatted into a ruggedized, horseshoe-shaped rig that can be mounted to a hardhat or other headgear. That’s the derivation of HMT, by the way – it stands for head mounted tablet. Aside from the configuration, the most obvious difference is that the screen is smaller, roughly the height and width of a matchbox – though clearly visible from a centimeter or three away.

    The rig runs on a rechargeable battery roughly the size of a standard AA, and just as easily replaced. It lasts roughly 12 hours with ordinary usage.

    Being Android-based, the HMT-1 can host any number of apps.

  4. Tomi Engdahl says:

    Review: Robotics system learning kit–Robotics-system-learning-kit

    The TI robotics system learning kit (TI-RSLK) was developed in collaboration with Dr. Jon Valvano, professor of electrical and computer engineering at The University of Texas at Austin.

    This low-cost robotics kit includes a classroom curriculum that provides students with a deeper understanding of how electronic system designs work. Developed with faculty at UT Austin, the TI-RSLK is designed to supplement university-level curriculum. This does not mean that younger ‘geeks,’ like I was in the ’60s, cannot tinker and learn with this kit as well.

    The TI-RSLK Maze Edition Curriculum comes with 20 learning modules that cover basic to advanced topics. Each module is complete with lecture videos and slides, lab documentation and demonstration videos, quizzes, and classroom activities. The kit teaches embedded systems and applications to all levels of techies.

  5. Tomi Engdahl says:

    Osram debuts Lightelligence IoT platform architecture at L+B

    A layered approach to connected-SSL-enabled IoT applications that spans a local application layer through standard services to the cloud holds the promise of allowing a developer community to more quickly deliver new application functionality.

    Light+Building (L+B) featured some sort of smart lighting or Internet of Things (IoT) demonstration in seemingly every booth, but Osram stood apart with its new solid-state lighting (SSL)-focused Lightelligence announcement. The platform is intended to be enabled by networked LED-based lighting infrastructure while delivering a variety of applications that range from energy savings to office space utilization to emergency services in nature. The architecture is unique in that shared services are sandwiched between the applications and cloud access for storage and analytics.

    At first glance, it appeared that Lightelligence was similar to other emerging IoT brands. For example, Philips Lighting (soon to be Signify) announced the Interact IoT brand at L+B.

    Indeed, it seemed that Osram’s primary goal in creating Lightelligence was to enable third parties to quickly build applications while reusing proven software to a large extent. “With Lightelligence, there is no need to reinvent the wheel when developing an application for lighting and building services,” said Thorsten Müller, head of innovation at Osram. “Development departments can make use of the know-how within the community. That leads to an enormous increase in efficiency in IoT development.”

    At L+B, Osram debuted a multilayer IoT platform founded on LED lighting infrastructure that leverages both cloud- and locally-based services for developers to build functionality for applications.

  6. Tomi Engdahl says:

    Data is the new lighting as Philips unfurls IoT platform

    All data, all the time: The company’s new Interact system continuously collects and analyzes information gathered from lighting and other sources.

    In the biggest declaration yet that the Internet of Things represents the industry’s future, the world’s largest lighting company, Philips Lighting, unveiled an IoT platform that turns lighting into a byword for collecting and analyzing data about everything, everywhere.

    “You can imagine all these devices — lamps, drivers, luminaires, sensors — being connected, sending information through software, and all this software sending this information back to a cloud-based platform, an IoT platform that is called Interact,” Rondolat said at the Light+Building exhibition in Frankfurt. “That platform is taking in account data security, data authentication, data storage, but also data analytics that we can, with our own services but also with open APIs with the services of third companies, be able to extract further value from the data.”

    Minutes after Rondolat introduced Interact, Philips issued a press release that used the word “data” 17 times in noting that Interact “supports the company’s strategy to deliver new data-enabled services as value expands from lighting products and systems to services.”

    Philips and many lighting vendors have been talking up such broad IoT lighting schemes for a couple of years, and some such as chipset company Gooee and others have already launched lights-to-cloud programs. But Interact is Philips first formal IoT “platform,” and coming from the industry leader, its introduction marks a symbolic coming out for the concept.

    The press released noted: “Connected light points, sensors, and devices, as well as systems, can collect large volumes of data for which Interact was designed to handle. The highly secure, scalable cloud-based Interact platform uses sophisticated and modern data management and data processing capabilities, including machine learning, to bring sense to all manner of data — creating data-enabled services for customers that will deliver benefits beyond illumination. Interact will not only support customers to improve their lighting experiences but can also generate and upload data to the Interact IoT platform.”

    Philips Lighting reveals new name: Signify

    The change reflects the industry’s new IoT lighting-and-beyond zeitgeist. Shareholder approval pending.

    Sounding as much Wittgenstein as lighting vendor, the company noted that the choice of Signify “originates from the fact that light becomes an intelligent language, which connects and conveys meaning.”

  7. Tomi Engdahl says:

    Siemens Buys Agilion to Boost IoT

    Siemens has acquired German wireless location solutions developer Agilion GmbH to boost its real-time location systems (RTLS) offering in the ultra-wideband (UWB) frequency spectrum for factory automation and automated guided vehicles (AGVs).

    Targeting applications like smart factories and logistics, RTLS enables precise monitoring of the production process and a transparent material flow.

  8. Tomi Engdahl says:

    Andrew Brust / ZDNet:
    Qualcomm launches SoCs for vision intelligence and IoT, combining an image signal processor, AI, CPU, and GPU tech for camera apps, robotics, smart displays

    Qualcomm launches systems-on-chips for vision intelligence, IoT

    The new QCS605 and QCS603 SoCs combine image signal processor, AI, CPU and GPU technology to accommodate a variety of camera applications, robotics and smart displays.

    Two weeks ago I covered a series of announcements from GPU powerhouse Nvidia, around new AI-focused products. Among these announcements was a partnership around the integration of certain Nvidia technology into ARM chip designs, specifically to deliver optimized AI processing in IoT devices.

  9. Tomi Engdahl says:

    Qualcomm launches its new vision intelligence platform for IoT devices

    Earlier this year it launched its new embedded platform for IoT developers; today, it’s introducing two new systems-on-a-chip for IoT, the QCS605 and QCS603, that combine a multicore ARM processor with the company’s AI engine and an image signal processor.

    For these new chips, that custom design focuses mostly on the AI engine. That part of the chip can handle 2.1 trillion operations per second for neural network inferencing. That’s only a little bit slower than the promised performance of a Mobileeye EyeQ4 chip. As Madhavapeddy stressed, it’s far more efficient to bring inference to the edge, both in terms of latency and bandwidth. There’s no need for the data to make a roundtrip to the data center, after all. “We anticipated that trend, we have seen that trend, and we are catering to that,” he said.

  10. Tomi Engdahl says:

    Splunk turns data processing chops to Industrial IoT

    IIoT is data found in manufacturing settings, typically come from sensors on the factory floor giving engineers and plant managers data about the health and well-being of the machines running in the facility. Up until now, that data hasn’t had a modern place to live. Traditionally, companies pull the data into Excel and try to slice and dice it to find the issues

    Splunk wants to change that with Splunk Industrial Asset Intelligence (IAI).

    The new product takes advantage of some existing Splunk tools being built on top of Splunk Enterprise, but instead of processing data coming from IT systems, it’s looking at Industrial Control Systems (ICS), sensors, SCADA (supervisory control and data acquisition) systems and applications and pulling all that data together and presenting it to the key constituencies in a dashboard.

  11. Tomi Engdahl says:

    Introduction to ThingSpeak

    ThingSpeak is an open data platform for the Internet of Things. Your device or application can communicate with ThingSpeak using a RESTful API, and you can either keep your data private, or make it public. In addition, use ThingSpeak to analyze and act on your data. ThingSpeak provides an online text editor to perform data analysis and visualization using MATLAB®. You can also perform actions such as running regularly scheduled MATLAB code or sending a tweet when your data passes a defined threshold. ThingSpeak is used for diverse applications ranging from weather data collection and analysis, to synchronizing the color of lights across the world.

    How to Use MATLAB and Simulink with ThingSpeak

  12. Tomi Engdahl says:

    The Open IoT Platform with MATLAB Analytics

    ThingSpeak™ is an IoT analytics platform service that allows you to aggregate, visualize, and analyze live data streams in the cloud. You can send data to ThingSpeak from your devices, create instant visualizations of live data, and send alerts using web services like Twitter® and Twilio®. With MATLAB® analytics inside ThingSpeak, you can write and execute MATLAB code to perform preprocessing, visualizations, and analyses. ThingSpeak enables engineers and scientists to prototype and build IoT systems without setting up servers or developing web software. Key capabilities of ThingSpeak include:

    ThingSpeak Support from Desktop MATLAB
    Prototype Internet of Things (IoT) applications using ThingSpeak and MATLAB

  13. Tomi Engdahl says:

    Qualcomm enters smartphone computing with IoT devices

    Sandiegol Qualcomm dominates the market for mobile application processors in its Snapdragon circuits, but in the future IoT devices can have a larger market. Now, the company has introduced two new IoT chipsets on its new Vision Intelligence platform.

    The 10-nanometer FinFET process circuits are called QCS605 and QCS603. Their purpose is to bring computing power for machine vision and artificial intelligence to devices requiring small size, low heat output, and low battery operation.

    Vision Intelligence circuits use the same artificial intelligence processor as the Snapdragon mobile phone circuits. Circuits support algorithms developed in TensorFlow, Caffe and Caffe2 environments. According to Qualcomm, the circuits make up to 2.1 trillion operations per computing power per second in their neurological calculation. According to the company, this is more than twice as much as in the corresponding competing IoT processors.

    he performance of Qualcomm’s IoTs gives the impression that processors can play 4K video at 60 frames per second.

    Of the first circuits, the QCS605 consists of eight Kryo 360 processors (two Arm Cortex-A75 cores and six Arm Cortex-A55 cores), the Adreno 615 graphics processor and the Hexagon 685 processor. This corresponds in many respects to the Snapdragon 845 chipset, but according to Qualcomm, the platform has been optimized for the requirements of IoT devices.


  14. Tomi Engdahl says:

    Qualcomm Brings AI, Vision Processing to IoT

    After surpassing $1 billion in IoT revenue in FY2017, Qualcomm is announcing new product families purpose-built for IoT applications. The company began by announcing a new family of IoT chipsets, the QCS603 and QCS605, along with software and reference designs, all dubbed the Qualcomm Vision Intelligence Platform. The platform brings the image and artificial intelligence (AI) processing capabilities found on its Snapdragon chipsets for premium smartphones to a wide range of consumer and industrial applications.

  15. Tomi Engdahl says:

    Abner Li / 9to5Google:
    Google releases updated DIY AI Vision and Voice Kits for $89.99 and $49.99, with a Raspberry Pi Zero and a companion app for Android, available at Target

    Google launches updated DIY kits for AI voice & vision w/ edu focus, available at Target

  16. Tomi Engdahl says:

    Sarah Perez / TechCrunch:
    Amazon introduces Alexa Blueprints that let anyone create custom Alexa skills and responses without coding

    Amazon’s new ‘Alexa Blueprints’ let anyone create custom Alexa skills and responses

    Amazon this morning is introducing “Alexa Blueprints,” a new way for any Alexa owner to create their own customized Alexa skills or responses, without needing to know how to code. The idea is to allow Alexa owners to create their own voice apps, like a trivia game or bedtime stories, or teach Alexa to respond to questions with answers they design – like “Who’s the best mom in the world?,” for example.

    You could also create a skill that includes helpful information for the babysitter, which could be triggered by the command, “Alexa, open My Sitter,” Amazon suggests.

    “Alexa Skill Blueprints is an entirely new way for you to teach Alexa personalized skills just for you and your family,”

    To build your own skill or custom Alexa response, users will visit the website and select a template.

    At launch, there are over 20 templates across categories like Fun & Games, At Home, Storyteller, and Learning & Knowledge.

  17. Tomi Engdahl says:

    RAK8211-NB ITracker Battery / Solar Powered Module Comes With NB-IoT & Bluetooth 5 Connectivity, GPS, And 5 Sensors

    RAK8211-NB iTracker specifications:

    NB-IoT via Quectel BC95-G (Global) wireless communication module + SIM card socket
    Bluetooth 5 via Nordic Semi nRF52832 Arm Cortex-M4F micro-controller (Arduino compatible)
    GPS/GLONASS via Quectel L70 GNSS module
    LIS3DH 3-axis “nano” accelerometer
    LIS2MDL 3-axis digital magnetic sensor.
    Tilt sensor
    BME280 pressure, humidity and temperature sensor
    OPT3001 intensity of light sensor


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