Astrophotography On The Game Boy Camera

The Game Boy Camera was the first digital camera that many of us ever interacted with. At the time it was fairly groundbreaking to take pictures without film, even though the resolution was extremely low by modern standards, and it could only shoot two-bit color. It’s been long enough since its release that it’s starting to become a popular classic with all kinds of hacks and modifications, like this one which adds modern SLR camera lenses which lets it take pictures of the Moon.

The limitations of the camera make for a fairly challenging build. Settings like exposure are automatic on the Game Boy Camera and can’t be changed, and the system only allows the user to change contrast and brightness. But the small sensor size means that astrophotography can be done with a lens that is also much smaller than a photographer would need with a modern DSLR. Once a mount was 3D printed to allow the lenses to be changed and a tripod mount was built, it was time to take some pictures of the moon.

Thanks to the interchangeability of the lenses with this build, the camera can also capture macro images as well. The build went into great detail on how to set all of this up, even going as far as giving tips for how to better 3D print interlocking threads, so it’s well worth a view. And, for other Game Boy Camera builds, take a look at this one which allows the platform to send its pictures over WiFi.

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A camera slider made from wood and recycled parts

Turning Old Plotter Parts Into A Smooth Camera Slider

Taking apart old stuff and re-using the parts to make something new is how many hackers first got started in the world of mechanical and electronic engineering. But even after years working in industry we still get that tinge of excitement whenever someone offers us an old device “for parts”, and immediately begin to imagine the things we could build with the components inside.

A GoPro mounted on a moving platform made from recycled partsSo when [Victor Frost] was offered an old Cricut cutting plotter, he realized he could use its parts to create the camera slider he’d been planning to build. The plotter’s X stage, controlled by a stepper motor, was ideal for moving a camera platform back and forth. [Victor] wanted to build the entire thing in a “freehand” way, without making a detailed design or purchasing any new parts. So he dived into his parts bin and dug up an Arduino, a 16×2 LCD, some wires and buttons, and a few pieces of MDF.

The camera mount is simply a piece of steel that a GoPro’s magnetic mount can latch onto, but [Victor] keeps open the possibility of mounting a proper tripod ball head. The Arduino drives the stepper motor through an Adafruit Motor Shield, with a simple user interface running on the LCD. The user can set the desired end points and speed, and then run the camera back and forth as often as needed. In this way, the software follows the same “keep it simple” philosophy as the hardware design.

If you’re planning to build your own camera slider, [Victor]’s design should be easy to copy, if you happen to have an old cutting plotter. If not, you can try this simple yet well-engineered model. Want even more? Then check out this fancy multi-axis camera motion control rig.

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A 3D Printed 35mm Movie Camera

Making a camera can be as easy as taking a cardboard box with a bit of film and a pin hole, but making a more accomplished camera requires some more work. A movie camera has all the engineering challenges as a regular camera with the added complication of a continuous film transport mechanism and shutter. Too much work? Not if you are [Yuta Ikeya], whose 3D printed movie camera uses commonly-available 35 mm film stock rather than the 8 mm or 16 mm film you might expect.

3D printing might not seem to lend itself to the complex mechanism of a movie camera, however with the tech of the 2020s in hand he’s eschewed a complex mechanism in favour of an Arduino and a pair of motors. The camera is hardly petite, but is still within the size to comfortably carry on a shoulder. The film must be loaded into a pair of cassettes, which are pleasingly designed to be reversible, with either able to function as both take-up and dispensing spool.

The resulting images have an extreme wide-screen format and a pleasing artistic feel. Looking at them we’re guessing there may be a light leak or two, but it’s fair to say that they enhance the quality rather than detract from it. Those of us who dabble in movie cameras can be forgiven for feeling rather envious.

We’ve reached out to him asking whether the files might one day be made available, meanwhile you can see it in action in the video below the break.

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Is The IPhone Camera Too Smart? Or Not Smart Enough?

What is a photograph? Technically and literally speaking, it’s a drawing (graph) of light (photo). Sentimentally speaking, it’s a moment in time, captured for all eternity, or until the medium itself rots away. Originally, these light-drawings were recorded on film that had to be developed with a chemical process, but are nowadays often captured by a digital image sensor and available for instant admiration. Anyone can take a photograph, but producing a good one requires some skill — knowing how to use the light and the camera in concert to capture an image.

Eye-Dynamic Range

The point of a camera is to preserve what the human eye sees in a single moment in space-time. This is difficult because eyes have what is described as high dynamic range. Our eyes can process many exposure levels in real time, which is why we can look at a bright sky and pick out details in the white fluffy clouds. But a camera lens can only deal with one exposure level at a time.

In the past, photographers would create high dynamic range images by taking multiple exposures of the same scene and stitching them together.Done just right, each element in the image looks as does in your mind’s eye. Done wrong, it robs the image of contrast and you end up with a murky surreal soup.

Image via KubxLab

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PiSpy, The Camera Setup Designed To Make Biological Observations Better

Back in grad school, we biology students were talking shop at lunch one day. We “lab rats” were talking about the tools of the trade, which for most of us included things like gel electrophoresis, restriction endonucleases, and polymerase chain reaction. Not to be left out, a fellow who studied fire ants chimed in that his main tool was a lawn chair, which he set up by a Dumpster in a convenience store parking lot to watch a fire ant colony. Such is the glamor of field biology.

Ants on the march. Tough luck for the crickets, though.

What our colleague [Mike] wouldn’t have given for something like PiSpy, the automated observation tool for organismal biology by [Greg Pask] of Middlebury College, et al. As discussed in the preprint abstract, an automated imaging platform can be key to accurate observations of some organisms, whose behavior might be influenced by the presence of a human observer, or even a grad student in a lawn chair. Plus, PiSpy offers all the usual benefits of automation — it doesn’t get tired, it doesn’t need to take bathroom breaks, and it can even work around the clock. PiSpy is based on commonly available components, like laser-cut plywood and a Raspberry Pi and camera, so it has the added advantage of being cheap and easy to produce — or at least it will be when the Pi supply picks back up again. PiSpy takes advantage of the Pi’s GPIO pins to enable triggering based on external events, or controlling peripherals like lights or servos.

While built for biological research, there are probably dozens of uses for something like PiSpy. It could be handy for monitoring mechanical testing setups, or perhaps for capturing UI changes during embedded device development. Or you could just use it to watch birds at a feeder. The source is all open-sourced, so whatever you make of PiSpy is up to you — even if it’s not for watching fire ants.

Super Simple Camera Slider With A Neat Twist

When you get into making videos of products or your own cool hacks, at some point you’re going to start wondering how those neat panning and rotating shots are achieved. The answer is quite often some kind of mechanical slider which sends the camera along a predefined path. Buying one can be an expensive outlay, so many people opt to build one. [Rahel zahir Ali] was no different, and designed and built a very simple slide, but with a neat twist.

This design uses a geared DC motor, taken from a car windscreen wiper. That’s a cost effective way to get your hands on a nice high-torque motor with an integral reduction gearbox. The added twist is that the camera mount is pivoted and slides on a third, central smooth rod. The ends of this guide rod can be offset at either end, allowing the camera to rotate up to thirty degrees as the slide progresses from one end to the other. With a few tweaks, the slider can be vertically mounted, to give those up-and-over shots. Super simple, low tech and not an Arduino in sight.

The CAD modelling was done with Fusion 360, with all the models downloadable with source, in case someone needs to adapt the design further. We were just expecting a pile of STLs, so seeing the full source was a nice surprise, given how many open source projects like this (especially on Thingiverse) do often seem to neglect this.

Electronics consist of a simple DC motor controller (although [Rahel] doesn’t mention a specific product, it should not be hard to source) which deals with the speed control, and a DPDT latching rocker switch handles the motor direction. A pair of microswitches are used to stop the motor at the end of its travel. Other than a 3D printer, there is nothing at all special needed to make yourself quite a useful little slider!

We’ve seen a few slider designs, since this is a common problem for content creators. Here’s a more complicated one, and another one.

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AI Camera Knows Its S**t

[Caleb] shares a problem with most dog owners. Dogs leave their… byproducts…all over your yard. Some people pick it up right away and some just leave it. But what if your dog has run of the yard? How do you know where these piles are hiding? A security camera and AI image detection is the answer, but probably not the way that you think.

You might think as we did that you could train the system to recognize the–um–piles. But instead, [Caleb] elected to have the AI do animal pose estimation to detect the dog’s posture while producing the target. This is probably easier than recognizing a nondescript pile and then it doesn’t matter if it is, say, covered with snow.

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