3D Scanner Using a Sharp Infrared Sensor

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[Fernando] sent in a tip about a pet project he’s been working on. It’s an interesting take on a 3D scanner. He used a stepper motor to rotate the object being scanned, and an Arduino for control, but the real novelty is the way he used the sensor. [Fernando] mounted a Sharp GP2D120X on vertical surface, and used a second stepper motor to raise the sensor during the scan. As you can see in the videos (embedded after the break), this results in the scan being put together in an ascending spiral.

The Sharp sensor is cheap and decent, but you’re obviously not going to get amazing accuracy. Still, using the average of several measurements, he ends up with a decent result. Happily, [Fernando] has released the code, and it should be easy enough to repurpose it with a more accurate sensor. It would be interesting to see a laser-based sensor paired with this code.

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39 Raspberry Pi 3D Scanner

[Richard] just posted an Instructable on his ridiculously cool 39 Pi 3D Scanner! That’s right. 39 individual Raspberry Pies with camera modules.

But why? Well, [Richard] loves 3D printing, Arduinos, Raspberry pies, and his kids. He wanted to make some 3D models of his kids (because pictures are so last century), so he started looking into 3D scanners. Unfortunately almost all designs he found require the subject to sit still for a while — something his 2-year old is not a fan of. So he started pondering a way to take all the pictures in one go, to give him the ability to generate 3D models on the fly — without the wait. 

He originally looked at buying 39 cheap digital cameras, but didn’t want to have all the images on separate SD cards, as it would be rather tedious to extract all the images. Using the Raspberries on the other hand, he can grab them all off a network. So he set off to build a very awesome (and somewhat expensive) life-size 3D scanning booth. Full details are available on his blog at www.pi3dscan.com

Stick around after the break to see it in action at Maker Faire Groningen 2013!

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Hackaday Links: October 27, 2013


[Kyle] came across a project which he thinks is “simply elegant”. If you don’t already have a PCB vice, here’s an easy way to build one of your own.

This one’s so good but alas it’s not a hack. Check out the slideshow tour at UC Boulder’s Fiske Planetarium. You get a really cool look at the hardware that makes the dome and projector such a great experience. [via Reddit]

Here’s a schematic and a couple of snapshots of [Trax’s] CAN bus hacking rig. He plans on doing a tutorial but decided to share this link after reading the first part of our own CAN hacking series.

These strings of LEDs bump to the tunes. [Alex] is using GrooveShark as a frequency analyzer, then pushing commands via Node.js to the Arduino controlling the lights. It’s all planned for the back porch during his Halloween party.

We remember drilling holes in the 3.5″ floppy discs (we even made a wood jig for this) to double their capacity. A similar blast from the past was to punch a notch in the larger 5.25″ versions to make them double-sided.

If you’re trying to learn about FFT [Ronald] highly recommends this website. We didn’t do too much poking around because it’s kind of strange. But if you do get sucked in and have fun with it leave a comment to let others know it’s worth their attention.

We suppose that using 39 Raspberry Pi boards and their camera modules isn’t the worst way to build a huge 3D model capture rig. The results certainly are impressive. [Thanks Wouter]

3D scanning by calculating the focus of each pixel


We understand the concept [Jean] used to create a 3D scan of his face, but the particulars are a bit beyond our own experience. He is not using a dark room and laser line to capture slices which can be reassembled later. Nope, this approach uses pictures taken with several different focal lengths.

The idea is to process the photos using luminance. It looks at a pixel and it’s neighbors, subtracting the luminance and summing the absolute values to estimate how well that pixel is in focus. Apparently if you do this with the entire image, and a set of other images taken from the same vantage point with different focal lengths, you end up with a depth map of pixels.

What we find most interesting about this is the resulting pixels retain their original color values. So after removing the cruft you get a 3D scan that is still in full color.

If you want to learn more about laser-based 3D scanning check out this project.

[Thanks Luca]

Makerbot shows off 3D scanner


We’ve said our piece over Makerbot and their interpretation of what Open Source means, but the fact remains if you’re sourcing a 3D printer for a high school shop class or a hackerspace, you really can’t do much better than a Makerbot Replicator. Apparently Makerbot is looking to expand their 3D design and fabrication portfolio; they just announced an upcoming 3D scanner at SXSW. It’s called the Makerbot Digitizer, and it takes real, 3D objects and turns them into CAD files.

Since Makerbot and [Bre Pettis] didn’t give out much information about the 3D scanner they’re working on, the best information comes from Techcrunch. The Makerbot Digitizer uses two lasers to scan real objects and turns them into 3D CAD files. The hardware isn’t finalized, and the prototype is made of a few pieces of laser cut plywood. No details are available on how much the Digitizer will cost, when it will be available, or what its resolution is.

Of course 3D scanning of real objects to translate them into CAD files is nothing new for Hackaday readers. We’ve seen our fair share of desktop 3D scanners, including one that was built in a day out of junk. Even the Kickstarter crew has gotten into the action with a few desktop 3D scanners, some of which scan in full color.

3D scanner made in a day


The LVL1 Hackerspace held a hackathon back in June and this is one of the projects that was created in that 24-hour period. It’s a 3D scanner made from leftover parts. The image gives you an idea of the math used in the image processing. It shows the angular relations between the laser diode, the subject being scanned, and the webcam doing the scanning.

The webcam is of rather low quality and one way to quickly improve the output would be to replace it with a better one. But because the rules said they had to use only materials from the parts bin it worked out just fine. The other issue that came into play was the there were no LCD monitors available for use in the project. Because of that they decided to make the device controllable over the network. On the right you can see a power supply taped to the top of a car computer. It connects to the laser (pulled out of a barcode scanner which produces a line of red light) and the turntable. A Python script does all of the image processing, assembling each slice of the scan into both an animated GIF and an OBJ file.

[Thanks Nathan]

Very easy 3D scanning software with ReconstructMe

[Maxzillian] sent in a pretty amazing project he’s been beta testing called ReconstructMe. Even though this project is just the result of software developers getting bored at their job, there’s a lot of potential in the 3D scanning abilities of ReconstructMe.

ReconstructMe is a software interface that allows anyone with a Kinect (or other 3D depth camera) in front of a scene and generate a 3D object on a computer in an .STL or .OBJ file. There are countless applications of this technology, such as scanning objects to duplicate with a 3D printer, or importing yourself into a video game.

There are a few downsides to ReconstructMe: The only 3D sensors supported are the xBox 360 Kinect and the ASUS Xtion. The Kinect for Windows isn’t supported yet. Right now, ReconstructMe is limited to scanning objects that fit into a one-meter cube and can only operate from the command line, but it looks like the ReconstructMe team is working on supporting larger scans.

While it’s not quite ready for prime time, ReconstructMe could serve as the basis for a few amazing 3D scanner builds. Check out the video demos after the break.

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