BeagleBone Blue Board is Designed for Robots and UAVs

Beagleboard.org organization already tried to go Blue with BeagleBone BlueSteel-Basic that was supposed to a the single board computer to be used by OEM to integrate into their design instead of BeagleBone Black development board. For some unknown reasons this never happened, but they’ve now reused the color to introduce BeagleBone Blue board designed for robotics and UAVs. BeagleBone Blue specifications: SoC – Texas Instruments Sitara AM3358 Cortex A8 @ 1 GHz + PowerVR SGX530 GPU System Memory – 512 MB DDR3 Storage – 4 GB 8-bit on-board flash storage Connectivity – 802.11 b/g/n, Bluetooth 4.0 LE USB – USB 2.0 client and host Motor Control – 8x 6V servo out, 4x DC motor out, 4x quad enc in Sensors – 9 axis IMU, barometer “Easy connect Interfaces” – GPS, DSM2 radio, UARTs, SPI, I2C, analog, buttons, LEDs Power / Battery – 2-cell LiPo support with balancing, 6-16V charger input Dimensions – N/A The board is still in development, and …

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Fleye is a Safe, Robust and Developer Friendly Drone Powered by NXP i.MX6 Processor (Crowdfunding)

In most cases, it’s a pretty bad idea to touch a drone while it’s flying, as you could potentially hurt yourself and others with the blades, so a startup based in Belgium has decided to design a safe drone with the blades hidden under a shell surrounded by protective grids, and with features such as obstacles avoidance. The design also makes the drone sturdier, and less prone to breakage should it fall or hit obstacles. The drone, dubbed Fleye, is based on NXP i.MX6 dual core processor, runs a Linux OS built with the Yocto Project, and the company also plans to provide APIs, and mobile SDKs to allow the developer community to experiment with the drone, and/or create mobile apps. Main hardware features of Fleye drone: SoC – Freescale NXP i.MX6 dual or quad core ARM Cortex A9 processor @ 800 MHz with Vivante GPU System Memory – 512 MB (1GB as option) Storage – micro SD slot Connectivity …

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Manifold mini PC Powered by Nvidia Tegra K1 Processor is Designed for Drones

DJI is known for their high-end drones such as Phantom 3 quadcopter, but the company has now launched Manifold mini PC powered by Nvidia Tegra K1 quad core Cortex A15 processor and running Ubuntu 14.04 in order to allow developers run their own applications performing complex computing tasks and advanced image processing “on the fly”. DJI Manifold specifications: SoC – Nvidia Tegra K1 quad core Cortex-A15 processor @ up to 2.2 GHz with 192-core Kepler GPU System Memory – 2GB DDR3L Storage – 16GB eMMC 4.51 flash, micro SD slot Video Output – mini HDMI port Audio I/O – mini HDMI, combo audio jack for microphone and headphone Connectivity – Gigabit Ethernet port USB – 2x USB 3.0 ports, 2x USB 2.0 host ports, 1x micro USB port (supports Force Recovery mode and Host mode) ,  and a non-standard USB 2.0 interface with the drone. Camera – Camera In and Camera Out ports Expansion Half-size mini PCIe slot 26-pin I/O …

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Embedded Linux Conference 2015 Schedule – IoT, Cars, and Drones

Embedded Linux Conference 2015 will take place in San Jose, California, on March 23 – 25, 2015, and will focus on Drones, Things and Automobiles. The schedule has been published, and whether you’ll attend or not, it’s always interested to have a look at what will be talked about to have a peak into the future of Embedded Linux, or simply keep abreast with the progress in the field. So as usual, I’ve gone through the schedule, and made my own virtual program with talks that I find interesting. Monday 23rd 9:00 – 9:30 – Driving standards and Open Source to Grow the Internet of Things by Mark Skarpness, Director of Systems Engineering at Intel Billions of devices are beginning to come online, and many of these devices, large and small, are running open source software.  To fuel this innovation, it’s more important than ever for these devices to use a common framework to communicate with each other and the …

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DroneShield – Raspberry Pi Powered Drone Detector

In case you are wary of having drones, such as RC helicopters, quadrotors…, flying around your house and invading your privacy, DroneShield can help you detect consumers’ drones by using a Raspberry Pi, a microphone and FFTW library, a C library for computing the discrete Fourier transform. The device will capture the audio with the microphone, analyze the noise spectrum of the drone flying around, and search for an entry in a signature database, and if a match is found the device will then send an email or SMS to inform you of the “invader”. There are complex challenges to overcome, or limitations, with this method, as any background noise will affect the detection, and drone emitting little noise or flying at high altitude won’t be detected. Spectrum analyses should however help avoid false positives such as a loanmowers and leafblowers as those emit a different kind of noise.They also need to gather more signatures to store in their database …

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