Schlagwort: photo

  • This low-cost motion control rig helps capture high-quality shots

    This low-cost motion control rig helps capture high-quality shots

    Reading Time: 2 minutes

    Arduino TeamMay 25th, 2021

    Being a camera operator is tough. Having to move the camera and maintain a smooth motion can be tricky, and the speed at which it’s done is never consistent. That’s what prompted Andy to create his own motorized robotic camera rig that can move in up to four different axes simultaneously. The camera gets attached to a standard mounting plate and then placed into the gimbal. The gimbal is able to both pitch the camera up (rotate around the X axis) and rotate it side to side (called ‘yaw’ or Z-axis rotation). In order to prevent a bunch of wires from tangling around each other while spinning, each rotational axis uses a slipring to transfer electrical power and signals continuously. 

    Most of the magic is housed in the electronics and software. Andy went with an Arduino Uno running Grbl firmware to translate GCODE commands into concrete actions with the stepper motors. He used a set of opto-interrupting modules that detect when an object has passed between an emitter and detector to signal when the axis is homed. And finally, a Raspberry Pi runs his custom program that takes in keyframe data, parses it, and sends it to the Uno. 

    As you can see from his excellent video, the camera rig is amazing at capturing smooth, continuous shots along multiple axes. You can view more about this project on its Hackaday write-up

    [youtube https://www.youtube.com/watch?v=IlbN-H5FYP0?feature=oembed&w=500&h=281]

    Website: LINK

  • Automate 35mm film scanning with Arduino and Python

    Automate 35mm film scanning with Arduino and Python

    Reading Time: < 1 minute

    Automate 35mm film scanning with Arduino and Python

    Arduino TeamSeptember 24th, 2020

    While taking photos today is normally a digital affair, there is a wealth of visual information stored on film negatives. Digitization is possible, but it tends to be rather time-intensive, so photographer/hacker Seckin Sinan Isik decided to automate the process.

    His setup uses a film carrier augmented with a stepper motor and belt drive to advance the 35mm film under a tripod-mounted digital camera. This is controlled by an Arduino Nano, with the camera’s view shown via a video capture device on a nearby computer.

    In one mode, the user can adjust the film position semi-manually using pushbuttons, then scan the negative. The whole process can also be automated, with a Python computer vision routine.

    More details on the project can ben found in Isik’s PetaPixel article here.

    [youtube https://www.youtube.com/watch?v=Sualv0ElD-4?feature=oembed&w=500&h=281]

    [youtube https://www.youtube.com/watch?v=SoEzrso6tJk?feature=oembed&w=500&h=281]

    Website: LINK

  • Build your own tracking and GoTo mount for DSLR astrophotography

    Build your own tracking and GoTo mount for DSLR astrophotography

    Reading Time: < 1 minute

    Build your own tracking and GoTo mount for DSLR astrophotography

    Arduino TeamDecember 18th, 2019

    Astrophotography can be challenging, in a large part because your subject matter — or your base, the Earth rather — is constantly moving. In order to take excellent long exposures of far-off objects, Redditor intercipere came up with a beautiful 3D-printable, star-following mount that holds and rotates a DSLR camera.

    Now intercipere can simply input the RA/DEC coordinates and the device will automatically move to a desired target in the sky.

    Motion is handled by an Arduino Uno and two small stepper motors, with a 16×2 LCD shield user interface. The rig is capable of tracking for at least four minutes, producing this photo of the Andromeda galaxy with a cheapo lens from a heavy light polluted area.

    Website: LINK

  • Microscopic gigapixel photography with this X/Y stage setup

    Microscopic gigapixel photography with this X/Y stage setup

    Reading Time: 2 minutes

    Microscopic gigapixel photography with this X/Y stage setup

    Arduino TeamJune 17th, 2019

    Normally the 10-50 gigapixels of a DSLR are good enough for nearly any photo you can imagine, but if you need more—and don’t want to spend many thousands of dollars—then this clever setup by Jon Bumstead may be just the thing.

    His contraption uses a Nikon D5000 camera situated above a small photographic subject, which progressively moves in front of the lenses using an X/Y stage. Motion is handled by pair of stepper motors, under the control of an Arduino Nano and two L9110 driver boards. The Nano also commands the camera to snap a picture when the subject in position, producing an array of photos that can be stitched together to form an image with extreme detail.

    In optical microscopes, there is a fundamental trade-off between field-of-view and resolution: the finer the detail, the smaller the region imaged by the microscope. One way to overcome this limitation is to translate the sample and acquire images over a larger field-of-view. The basic idea is to stitch together many high resolution images to form a large FOV. In these images, you get to see both the full sample, as well as fine detail in any portion of the sample. The result is an image consisting of about a billion pixels, much larger in comparison to the pictures taken by a DSLR or smartphone, which typically have around 10 to 50 million pixels.

    In this Instructable, I will go over how to build a microscope capable of imaging a 90mm x 60mm field-of-view with pixels corresponding to 2 micrometer at the sample (although, I think the resolution is probably closer to 15 micrometer). The system uses camera lenses, but the same concept can be applied using microscope objectives to get even finer resolution.

    [youtube https://www.youtube.com/watch?v=mKXoA6zDu98?feature=oembed&w=500&h=281]

    Website: LINK

  • SONY Action Cam LIVE Demo – Game City 2014 – BLOGDOTTV

    SONY Action Cam LIVE Demo – Game City 2014 – BLOGDOTTV

    Reading Time: < 1 minute

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