Mudi is a Tor & VPN Enabled Portable 4G LTE WiFi Router (Crowdfunding)

Mudi VPN Portable 4G Router

GL.inet has made routers for a long time, and its latest product is called Mudi which they promote as a “4G LTE Privacy Router for Road Warriors”. Mudi is battery-powered, and designed to improve security and privacy compared to using only public WiFi access points, and comes with Tor and VPN support – the latter turned on/off with a physical switch – out of the box. Mudi (GL-E750) hardware specifications: SoC – Qualcomm QCA9530 MIPS24Kc processor @ 650 MHz System Memory – 128MB DDR2 Storage – 16MB + 128MB flash + MicroSD card slot up to 128GB Connectivity WiFi 2.4 GHz 802.11b/g/n WiFi 4 up to 300 Mbps 5 GHz 802.11n/ac WiFi 5 up to 433 Mbps Cellular – 4G LTE Cat.6 or Cat.4 module + NanoSIM card slot USB – USB type-C port Display – OLED display Misc – Power button, VPN switch button Power Input – 5V/2A Power Consumption – > 6 Watts Battery – 7,000 mAh LiPo …

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PrinCube Said to Be Smallest Handheld Smartphone Color-Inkjet Printer That Prints on Anything (Crowdfunding)

PrinCube the smallest, color-inkjet printer on the market. PrinCube is a portable handheld color ink-jet printer that is palm-sized, wirelessly controlled by a smartphone, and easy to set up. The IndieGoGo campaign has exploded to more than $2,000,000.00 USD and featured on a number of tech sites.  Article Intent For clarity and function of the PrinCube abilities, there needs to be a careful examination of the facts that surround wireless, handheld, color inkjet, printer, that can print on any surface. Other Handheld, Smartphone, Color-Inkjet Printers There is another product, similar to PrinCube, PrintBrush, which is also a handheld wireless color inkjet printer, connected to a smartphone. It should be noted that while PrinCube is a very popular campaign, PrintBrush, which came out earlier than PrinCube, has very similar claims.  It is worth looking over the websites for both printers Here are the campaigns PrintBrush XDR- Colors Everywhere on Kickstarter PrinCube The Worlds Smallest Mobile Color Printer on Indiegogo The Basics …

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POWERUP 4.0 is a Smartphone Controlled Paper Plane with Autopilot (Crowdfunding)

POWERUP 4.0 Paper Plane

A crowdfunding campaign about a paper plane… This can’t go very far, can it? Apparently, it can, because that’s Shai Goitein’s fourth POWERUP paper plane campaign, and PowerUp 3.0 raised over one million dollars a few years ago. POWERUP 4.0 is still a smartphone-controlled paper plane but this time it adds a few sensors, an autopilot, flight telemetry, and a night flight mode. More exactly that’s a kit for a paper plane, as you’d have to make your own and attach the kit to it. It’s powerful enough to support planes made of balsa wood, cardboard or foam board. They haven’t released the exact technical details of the kit but here are some of the key features: On-board flight control with autopilot that makes flying easier and allows you to make aerobatics manoeuvers such as loops or Twin motor + propellers allowing up to 10m/sec speed Connectivity – Bluetooth module for up to 70-meter range Sensors – Gyro + accelerometer …

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BASIC Compiler & Programming on Arduino Zero Boards (Crowdfunding)

BASIC Compiler Arduino

Arduino boards are normally programmed using Arduino “programming language” that’s more like an API using C/C++ language.  But when I started in high-school I remember learning Pascal and BASIC programming languages. Bruce Eisenhard also learned BASIC in the past, so he decided to port his company’s ARM BASIC compiler to Arduino Zero, and it should also work on other boards based on Microchip SAMD21G Arm Cortex-M0+ microcontroller. The compiler includes floating-point, strings, inline assembly, interrupts, pre-processor, and the BASIC firmware supports direct access to hardware registers so you can control digital and analog I/Os, ADCs, and other peripherals using BASIC programming language. A runtime monitor also facilitates debugging. The IDE used for development is called BASICtools that’s a free 30MB download which install programs and documentation. There are also libraries and examples from blinky to more complex code. It’s been possible to run interpreted BASIC on Arduino for a while, but Bruce notes compiled BASIC is at least 20 times …

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Atomic Pi x86 SBC Meets Intel Neural Compute Stick 2 in $99 Neural Computing DevKit (Crowdfunding)

Atomic Pi Neural Computing Development Kit

IoT Team launched the $34 Atomic Pi SBC powered by an Intel Atom x5-Z8350 processor via a Kickstarter campaign last December. At the time, it only ships to the US, and looked too good to be true. But the thing is real coming from a failed robotics project, and the low-cost x86 board went back for sale via Amazon and other channels with worldwide availability last spring. The price has even gone a bit lower as you’ll find it for $32.95 on Amazon. Note that it requires some technical skills to get started and with 16GB eMMC flash it only supports Liux distributions such as Ubuntu 18.04, and installing Windows 10 is possible, but you’ll be seriously limited. Atomic Pi is back in the news, as IoT Team has now launched another Kickstarter campaign for the board, except it’s not sold standalone, but instead as part of a $99 neural computing development kit that combines Atomic Pi SBC with 2GB …

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Pi-oT Raspberry Pi Add-on Board Targets Commercial & Industrial IoT Automation (Crowdfunding)

USA Based Startup Builds RPi Add-on  Pi-oT, a Cleveland based startup has launched a Kickstarter campaign for a Raspberry Pi add-on for commercial and industrial IoT automation. The unit is a full mountable chassis with fan and DIN-rail that extends the Pi’s GPIO with 26-pin terminal connectors and provides 5x relays, 8x ADCs, and power outputs. We have reported on a variety of uses for the Raspberry Pi SBC, from home automation to development in IoT, to hobby projects, and in education settings.  It is not surprising to see an automation module developed for IoT industrial applications around the popular and powerful SBC. The Choices The Kickstarter campaign has passed its low initial target and is set to ship at the end of October. There is an early launch discount on the unit’s price of $40 for commercial and $50 for industrial backers. That early bird type special is 15% off the commercial and industrial first batch shipping, which goes …

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Project-X A1-Series Production-Ready Pico-ITX SBCs are Powered by Allwinner Processors (Crowdfunding)

X-Project A1-Series PIco-ITX SBCs

We already have plenty of Allwinner single board computers thanks to companies such as Shenzhen Xunlong Software with their Orange Pi boards, FriendlyELEC NanoPi boards, and Libre Computer Tritium SBCs.  Those boards are fine for hobbyist’s project but may fall short when integrated into  consumer products, although some products have already been launched with those board such as RetroEngine Sigma retro game console (Orange Pi), or Firewalla firewall appliance (NanoPi neo) ActPower Taiwan Ltd’s Project-X is a little different as it relies on Pico-ITX form factor targetting mass production of low volume manufacturing. Their first Project-X A1-series focus exclusively on Allwinner H-Series (H2+, H3, and H5) processor, but if the concept takes off they may launch boards equipped with processors from other silicon vendors. There are currently three Project-X A1 boards with the following key features and specifications: SoC (one or the other) Allwinner H2+ quad-core Cortex-A7 processor Allwinner H3 quad-core Cortex-A7 processor Allwinner H5 quad-core Cortex-A53 processor System Memory …

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HuskyLens AI Camera & Display Board is Powered by Kendryte RISC-V Processor (Crowdfunding)

HuskyLens AI Camera

A couple of years ago, I reviewed JeVois-A33 computer vision camera  powered by Allwinner A33 quad-core Cortex-A7 processor running Linux. The tiny camera would implement easy-to-use software for machine vision with features such as object detection, eye tracking, QR code and ArUco marker detection, and so on. The camera could handle the tasks at hand, but since it relied on purely software computer vision, there were lag for some of the demo applications including 500ms for single object detection, and up to 3 seconds for YOLO test with multiple object types using deep learning algorithms. That’s a bit slow for robotics project, and software solutions usually consume more than hardware accelerated ones. Since then, we’ve started to see low-cost SoC and hardware with dedicated hardware AI accelerators, and one of those is Kendryte K210 dual-core RISC-V processor with a built-in KPU Convolutional Neural Network (CNN) hardware accelerator and APU audio hardware accelerator found in Sipeed 1 module, Maixduino SBC, and …

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