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Archive for the ‘3d scanner’ Category

Who wouldn’t want an autonomous drone to deliver cans of fizzy drink fresh from the fridge? [Alex Toussaint] did, and in thinking how such a machine might work he embarked on a path that eventually led him to create a fully functional ultrasonic 3D scanner. In writing it up he’s produced a straightforward description of how the system works, which should also be of interest to anyone curious about phased array radar. He starts with an easy-to-understand explanation of the principle behind phased array beam forming, and there follows his journey into electronics as he uses this ambitious project to learn the art from scratch. That he succeeded is testament to his ability as well as his sheer tenacity.

He finally arrived at a grid of 100 ultrasonic emitters controlled from an Arduino through a series of shift register boards. Using this he can steer his ultrasonic beam horizontally as well as vertically, and receive echoes from objects in three-dimensional space. The ornamental bird example he uses for his scanning tests doesn’t quite emerge in startling clarity, but it is still clear that an object of its size and rough shape is visible enough for the drone in his original idea to detect it. If you would like to experiment with the same techniques and array then all the resources can be found in a GitHub repository, meanwhile we’re still impressed with the progress from relative electronics novice to this. We hope the ideas within it will be developed further.

We’ve seen ultrasonic arrays before, but mainly used in levitation experiments.

3D scanners are amazing tools that literally let you turn everyday things into three-dimensional computer models. As seen on Reddit, if you want to make one yourself — using little more than a spare Android phone, Arduino, stepper motor, and 3D-printed parts — the AAScan setup by QLRO could be an excellent option.

The device spins an object on a 3D-printed turntable using an Uno and ULN2003 driver board, allowing it to take ~180 images automatically via a Python script running on the phone. These images are then combined in Meshroom to create a brand new 3D model. 

You can check out a demo of AAScan in the video below, rotating an apple to take pictures of each side.

Pictures can be a great way to record an event or object, but typically only do so in one perspective. In order to capture things in three dimensions, you’ll need to be able to snap multiple photos and stitch them together with software.

To take all the photos required for this process, “thomas_openscan” has come up with an automated device that rotates the object as needed, allowing him to capture images using a DSLR camera or even smartphone.

An early prototype is shown here, which actually moves a phone around the scanned object. The later, more refined version manipulates the object itself using an Arduino Nano and a pair of drivers to control a pair of bipolar stepper motors. 

More information on the project is available here and over on Thingiverse, and can be purchased or built depending on your needs.

[Aldric Negrier] wanted to make 3D-scanning a person streamlined and simple. To that end, he created this voice-controlled 3D-scanning rig.

[Aldric] used a variety of hacking skills to make this project, and his thorough Instructable illustrates this nicely. Everything from CNC milling to Arduino programming to 3D-printing was incorporated into the making of this rig. Plywood was used to construct the base and the large toothed gear. A 12″ Lazy Susan bearing was attached to this gear to allow smooth rotation. In order to automate the rig, a 12V DC geared motor was attached to a smaller 3D-printed gear and positioned on the base. When the motor is on, the smaller gear’s teeth take the larger gear for a spin. He used a custom dual H-bridge motor driver made by a friend, which is connected to an Arduino Nano. The Nano is also connected to a Bluetooth module and an ultrasonic range finder. When an object within 1-35cm is detected on the rig for 3 seconds, the motor starts to spin, stopping when the object is no longer detected. A typical scan takes about 60 seconds.

This alone would have been a great project, but [Aldric] did not stop there. He wanted to be able to step on the rig and issue commands while being scanned. It makes sense if you want to scan yourself – get on the rig, assume the desired position, and then initiate the scan. He used the Windows speech recognition SDK to develop an application that issues commands via Bluetooth to Skanect, a 3D-scanning software. The commands are as simple as saying “Start Skanect.” You can also tell the motor to switch on or off and change its speed or direction without breaking form. [Aldric] used an Asus Xtion for a 3D-scanner, but a Kinect will also work. Afterwards, he smoothed his scans using MeshMixer, a program featured in previous hacks.

Check out the videos of the rig after the break. Voice commands are difficult to hear due to the background music in one of the videos, but if you listen carefully, you can hear them. You can also see more of [Aldric’s] projects here or on this YouTube channel.

[Thanks for the tip, MERover!]


Filed under: 3d Printer hacks, Arduino Hacks
Dic
22

3D Scanner Using a Sharp Infrared Sensor

3d scanner, arduino, arduino hacks, sharp GP2D120X Commenti disabilitati su 3D Scanner Using a Sharp Infrared Sensor 

Screen Shot 2013-12-20 at 7.35.02 PM

[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.


Filed under: Arduino Hacks


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