STMicro STM32WL is the World’s First LoRa SoC

There is no denying that the Internet of Things is going to disrupt a lot of markets and it’s already happening to some extent. The question being asked is: “What IoT connectivity technology will lead this disruption era?”. One major technology in this connectivity race is LoRa. LoRa’s long-range, low-power, small footprint, simplicity, and the amazing community backing it, have allowed it to find its way into various applications while gaining for the top LPWAN IoT connectivity technology. STMicroelectronics, one of the biggest semiconductor manufacturer, also believes in the potential of LoRa with the launch of STM32WL, making it the World’s first die-integrated LoRa System-on-Chip. Traditional LoRa embedded platforms usually involve the need for a separate MCU chip and different LoRa transceiver chips either coupled together in one single package or separately. This undoubtedly adds extra design complexity, size, and even cost. STMicro hopes to address this with their STM32WL SoC. This new device opens the door to original applications by …

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ONiO.zero offers a RISC-V Microcontroller that runs without battery

ONiO.zero

Energy harvesting has been an exciting area people have tried to venture into mostly because of the possible applications that can arise from it. Newly invented energy-harvesting technologies accompanying low-power computing systems have pushed the boundaries of where embedded systems can be deployed. The demand for an increase in connected applications which require an underlying embedded system, and as we know, all electronic devices require a power source of some sort. This power source, batteries in most cases, comes with an accompanying buck regulator of some sort that will tend to increase the BOM. Aside from the BOM rise from the usage of batteries, there is also the shelf life and environmental aspects. The Norwegian specialist ONiO has introduced the ONiO.zero to address those issues. Having no battery means fewer components and a smaller design, which can easily be integrated into a wide range of solutions – be it fabrics, jewelry, watches, wearable medical devices, livestock or building sensors. More …

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MYIR Launches SoM & Development Board based on STM32MP1 Microprocessor

MYIR, the Chinese based company that has developed several ARM-based hardware solutions, has introduced a new SoM powered by the ST’s STM32MP1 microprocessor called the MYC-YA157C CPU Module with an accompanying development board known as the MYD-YA157C development board. Early last year, STMicro announced the introduction of the STM32MP1, the first STM32 MPU (Microprocessor Unit) that features one or two Arm Cortex-A7 cores running Linux, as well as an Arm Cortex-M4 real-time core making it possible to use previous STM32 codes on the new unit. Although, less than 1-year-old, the STM32MP1 microprocessor has since be deployed on a couple of development boards like the STMicro’s own discovery kits and evaluation platform, Emtrion emSBC-Argon, PanGu single-board computer, and even octavo systems unveiled the OSD32MP15x system-in-package. One primary observation with these other developments boards is their relatively steep cost, and something MYIR aims to address. MYiR MYC-YA157C STM32MP1 CPU Module The MYC-YA157C CPU Module is a cost-effective STM32MP1 SoM that features the …

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NanoVision & NanoBerry Miniature Computer Vision Evaluation Kits Released For Arduino & Raspberry Pi Platforms

NanoVision and NanoBerry evaluation kits

AMS (Austria Mikro Systeme) known for their array for micro sensing solutions and most importantly the NanEye, a Miniature CMOS image sensor which is designed for applications where size is a critical factor has also launched a set for evaluation kits called the NanoVision and the NanoBerry for the development of solution based on the AMS NanEyeC miniature image sensor. NanEyeC Camera Sensor The NanEyeC comes in a footprint of just 1mm x 1mm surface mount, and it can produce 100kpixel resolution up to 58 frames/s. It seems the NanEyeC is based on the NanEye series, which typical (NanEye) features a 249×250 resolution with a high sensitive 3um x 3um rolling shutter pixel and capable of a high frame rate of about 43fps to 62fps. The NanEyeC sensor is based on the high-speed LVDS data interface. The sensor is assembled with a unique lens and cover glass, which fits in an endoscope with a diameter of <1.1mm. LVDS interfaces ensure …

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Energous Launches WattUp Smart Glasses Developer Kit for Customer Product Designs

The WattUp Smart Glasses Developer Kit

Near-field wireless charging technology has the potential to disrupt the consumer electronics industry, but its adoption has been limited. Energous wireless charging technology WattUp has promised to change that narrative by making it possible to charge devices mid-field (on the desk) or far off (in the room. Aside from the distance challenge in wireless charging, one other major issue is the fact that there are few deployments with them. Only a few devices have wireless charging incorporated. Energous is hoping to change that as well with the launch of the WattUp Smart Glasses Developer Kit, which is tailored for custom product design in the wearable industry. Energous is continuing its trend of launching a developer kit after having released the WattUp Hearables Developer Kit with Near-Field Wireless Charging and support for the SKIIN Smart Underwears. According to the Energous, the goal of the smart glasses developer kit is: Designed to ease manufacturers’ integration of WattUp into smart glasses, the new …

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Onion Omega2 Dash Enables Touch-based UI’s, Features Omega2S WiFi Module (Crowdfunding)

e Omega2 Dash is a Wi-Fi-enabled Linux computer with a built-in touchscreen

Onion, the team behind the Omega2 series self-styled computing modules has launched the Omega2 Dash a self-contained Omega2S module with a touchscreen. Unlike some modules integrating with a display that mostly comes in the form of a HAT (in the case of Raspberry Pi), USB, HDMI, or some unique data lines. The Omega2 Dash is a stand-alone 3.2″ TFT touchscreen display running a Linux OS, comes with a Micro USB, and boots in less than a minute, thanks to the Omega2S module attached to the back of the display screen. The Omega2S is the latest in the series of computing modules from Onion after succeeding the Omega2+.  Targeted to the IoT industry in its 24x20x2.8mm form factor, the Omega2S was designed for mass production and people interested in integrating IoT solutions into their products. Integrating a display to the Omega2S will be tricky. It will require investing in a custom development board or even more significant investment with the $249 …

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Bangle.js is an Hackable, Open Source JavaScript and TensorFlow-driven Smartwatch (Crowdfunding)

Espruino brought JavasScript to the Microcontroller, now Bangle.js is bringing Javascript plus TensorFlow Lite to your smartwatch. There has been some movement by some developers that says that JavaScript should be used for everything, even though I find that idea ridiculous, I still find JavaScript a fascinating language. The NeaForm Research team and Gordon Williams (the brain behind Espruino) have all teamed up in launching Bangle.js Smartwatch. Bangle.js isn’t your ordinary smartwatch, at the heart of it is the open-source ecosystem. JavaScript plus TensorFlow Lite and of course, a cool looking Smartwatch is what Bangle.js is offering. Bangle.js was launched at the recently concluded NodeConf EU conference, and the goal is to bootstrap an Open Health Platform hopefully. NodeWatch is the specific implementation of Bangle.js for NodeConf EU 2019, co-developed by Espruino and NearForm Research. This project has the potential to bootstrap a community-driven open health platform where anyone can build or use any compatible device and everyone owns their …

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DepthAI Brings AI plus Depth to the Raspberry Pi (Crowdfunding)

DepthAI Embedded Platform

Edge computing on the Raspberry PI has been a bit of ups and downs, especially with everyone gearing for AI in everything. The Raspberry Pi, on its own, isn’t really capable of any reliable AI applications. Typical object detection on the Raspberry Pi would get you something around 1 – 2 fps depending on the nature of your model and this because all those processing is done on the CPU. To address this poor performance of AI applications on the Raspberry Pi, AI Accelerators came to the rescue. The Intel Neural Compute Stick 2 is one such accelerator capable of somewhere around 8 – 15 fps depending on your application. The NCS2, which is based on the Myriad X VPU technology, offers so much more than the compute stick delivers, and this is something that the team behind DepthAI has exploited to create a powerful AI module for edge computing called DepthAI. It is one thing to do object detection. …

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