cloud

47 Articles

Hardware Acceleration In The Cloud

May 5, 2018 by 30 Comments

Computers are great at a lot of things. However, general-purpose computers can benefit from help on certain tasks, which is why your video card and sound card both have their own specialized hardware to offload the CPU. If Accelize has its way, some of your hardware acceleration will be done in the cloud. Yes, we know. The cloud is the buzzword of the week and we are tired of hearing about it, too. However, this service is a particularly interesting way to add FPGA power to just about any network-connected CPU.

Currently, there are only four accelerators available, including a hardware-assisted random number generator, a GZIP accelerator, an engine for rapidly searching text, and a BMP to JPEG converter. The company claims, for example, that the search engine can find 2500 entries in the 60 GB Wikipedia archive in 6 minutes. They claim a traditional CPU would take over 16 days to do the same task. The BMP to JPEG converter can process faster than required to feed real-time HD video.

The cloud, in this case, is FPGA resources hosted in the Amazon cloud or in the OVH public cloud. They’ll clearly charge for the service at some point using a “coin” system. However, right now they are letting you sign up with nothing more than an e-mail address and crediting your account with 50,000 coins. Apparently, coins are 1,000 for one dollar.

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EasyEDA Two Years Later

December 5, 2017 by 47 Comments

Some people want everything on the cloud, while others refuse to put even the smallest scrap of data on the Internet. Most of us fall somewhere in between. A few years ago, we talked about a few cloud-based PCB layout programs including one called EasyEDA. We were impressed because it was a full package: schematic capture, simulation, and PCB layout. It was free to use, although they would give you a quote for producing your boards, though you were under no obligation to buy them. Of course things change in two years, so if you are curious how EasyEDA is doing, [Yahya Tawil] posted an in-depth review.

Some of the new features include an autorouter and the ability to order parts from a BOM directly, not just PCBs. The cloud aspect is handy, not only because you don’t have to install and update software to use it anywhere, but because it is very natural to collaborate with others on projects. We did notice, though, that the autorouter can run in the cloud, or you can download and run it local because it apparently loads the server significantly.

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Codebender Rises From The Ashes

June 21, 2017 by 13 Comments

If you were sad that Codebender had bit the dust, cheer up. A site called codeanywhere has acquired the online Arduino development environment and brought it back to life. In addition to the main Codebender site, the edu and blocks sites are also back on the air.

Not only is this great news, but it also makes sense. The codeanywhere site is a development IDE in the cloud for many different programming languages. The downside? Well, all the people who said they’d be glad to pay to keep Codebender alive will get a chance to put their money where their mouth is.

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Hackaday Prize Entry: Water Level Station

June 3, 2017 by 17 Comments

All over the world, in particular in underdeveloped countries, people die every year by the thousands because of floods. The sudden rise of water levels often come unannounced and people have no time to react before they are caught in a bad spot. Modern countries commonly have measure equipment deployed around problematic areas but they are usually expensive for third world countries to afford.

[Benne] project devises a low-cost, cloud-connected, water level measuring station to allow remote and central water level monitoring for local authorities. He hopes that by being able to monitor water levels in a more precise and timely fashion, authorities can act sooner to warn potentially affected areas and increase the chance of saving lives in case of a natural disaster.

At the moment, the project is still in an early stage as they are testing with different sensors to figure out which would work best in different scenarios. Latest version consists essentially in an Arduino UNO, an ultrasonic distance sensor, and a DHT temperature/humidity sensor to provide calibration since these characteristics affect the speed of sound. Some years ago, we covered a simple water level monitoring using a Parallax Ping sensor, but back then the IoT and the ‘cloud’ weren’t nearly as fashionable. They also tested with infrared sensors and a rotary encoder.

They made a video of the rotary encoder, which we can see below:

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Sudo Google Assistant

May 16, 2017 by 18 Comments

A Raspberry Pi kicking around one’s workbench is a project waiting to happen — if they remain unused long enough to be considered a ‘spare.’ If you find you’ve been pining after an Alexa or your own personal J.A.R.V.I.S., [Novaspirit Tech] might be able to help you out — provided you have a USB mic and speaker handy — with an accessible tutorial for setting up Google Assistant on your Pi.

A quick run-through on enabling a fresh API client on Google’s cloud platform, [Novaspirit] jumps over to the Raspbian console to start updating Python and a few other dependencies. Note: this is being conducted in the latest version of Raspbian, so be sure to update before you get underway with all of your sudos.

Once [Novaspirit] gets that sorted, he sets up an environment to run Google Assistant on the Pi, authenticates the process, and gets it running after offering a couple troubleshooting tips. [Novaspirit] has plans to expand on this further in the near future with some home automation implementation, but this is a great jumping-off point if you’ve been looking for a way to break into some high-tech home deliciousness — or something more stripped-down — for yourself.  Check out the video version of the tutorial after the break if you like watching videos of guys typing away at the command line.

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Digitize Your Room With LIDAR

May 15, 2017 by 20 Comments

What’s the best way to image a room? A picture? Hah — don’t be so old-fashioned! You want a LIDAR rig to scan the space and reconstruct it as a 3D point map in your computer.

Hot on the heels of [Saulius Lukse]’s scanning thermometer, he’s replaced the thermal camera on their pan/tilt setup with a time-of-flight (TOF) camera — a Garmin LIDAR — capable of 500 samples per second and end up scanning their room in a mere fifteen minutes. Position data is combined with the ranging information to produce a point cloud using Python. Open that file in a 3D manipulation program and you’ll be treated to a sight like this:

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