Broken Phone To Cinema Camera With A Lens Upgrade

The advent of the mobile phone camera has caused a revolution in film making over the last couple of decades, lowering the barrier to entry significantly, and as the cameras have improved, delivering near-professional-grade quality in some cases. Mobile phone manufacturers hire film makers to promote their new flagship models and the results are very impressive, but there is still a limitation when it comes to the lenses. [Evan Monsma] has broken through that barrier, modifying an iPhone to take C-mount cinema lenses.

It’s likely many of us have one or two broken mobile phones around, and even if they aren’t flagship models they’ll still have surprisingly good camera sensors. This one is an iPhone that’s seen better days, with a severely cracked glass back and a dislodged lens cover on one of its cameras. Removing the back and the lens cover reveals the sensor. The video below the break has a lot of woodwork and filing away of the phone, as he modifies a C-to-CS ring to serve as a C-mount. In reality the flange distance makes it a CS mount so his C-mount lenses need an adapter, but as anyone who’s used a Raspberry Pi camera will tell you, that’s no hardship.

The final camera has a thick plywood back with a tripod mount installed, the other two cameras work with their Apple lenses, and the C-mount gives great results with a cinema lens. We’re concerned that the Super Glue he uses to fix it all together might not hold up to the weight of bigger lenses, but we’re here for this project and we love it.

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DIY 35mm Film Scanning

If you are sitting on a horde of negatives, waiting for the digital photography fad to die off, it may be time to think about digitizing your old film. [Kinpro1024] can help with the PiDigitzier, an open-source film scanning solution. The build centers around a Pi Zero 2, a Pi HQ camera, and a diffusing  LED lighting fixture. Of course, there’s also some miscellaneous hardware and a camera lens; the example used a Pentax 50 mm f1.8 lens.

Half of the project is mechanical. An MDF tower provides a stable 250 mm workspace and decks that can slide up and down using threaded rods and curtain rods. Apparently, leveling the platforms is important not only for the optics but also to allow the MDF to move along the rods without binding.

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Build Your Own 6K Camera

[Curious Scientist] has been working with some image sensors. The latest project around it is a 6K camera. Of course, the sensor gives you a lot of it, but it also requires some off-the-shelf parts and, of course, some 3D printed components.

An off-the-shelf part of a case provides a reliable C mount. There’s also an IR filter in a 3D-printed bracket.

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A man holds a license plate in front of a black pickup (F-150 Lightning) tailgate. It is a novelty Georgia plate with the designation P00-5000. There are specks of black superimposed over the plate with a transparent sticker, giving it the appearance of digital mud in black.

A Deep Dive On Creepy Cameras

George Orwell might’ve predicted the surveillance state, but it’s still surprising how many entities took 1984 as a how-to manual instead of a cautionary tale. [Benn Jordan] decided to take a closer look at the creepy cameras invading our public spaces and how to circumvent them.

[Jordan] starts us off with an overview of how machine learning “AI” is used Automated License Plate Reader (ALPR) cameras and some of the history behind their usage in the United States. Basically, when you drive by one of these cameras, an ” image segmentation model or something similar” detects the license plate and then runs optical character recognition (OCR) on the plate contents. It will also catalog any bumper stickers with the make and model of the car for a pretty good guess of it being your vehicle, even if the OCR isn’t 100% on the exact plate sequence.

Where the video gets really interesting is when [Jordan] starts disassembling, building, and designing countermeasures to these systems. We get a teardown of a Motorola ALPR for in-vehicle use that is better at being closed hardware than it is at reading license plates, and [Jordan] uses a Raspberry Pi 5, a Halo AI board, and You Only Look Once (YOLO) recognition software to build a “computer vision system that’s much more accurate than anything on the market for law enforcement” for $250.

[Jordan] was able to develop a transparent sticker that renders a license plate unreadable to the ALPR but still plainly visible to a human observer. What’s interesting is that depending on the pattern, the system could read it as either an incorrect alphanumeric sequence or miss detecting the license plate entirely. It turns out, filtering all the rectangles in the world to find just license plates is a tricky problem if you’re a computer. You can find the code on his Github, if you want to take a gander.

You’ve probably heard about using IR LEDs to confuse security cameras, but what about yarn? If you’re looking for more artistic uses for AI image processing, how about this camera that only takes nudes or this one that generates a picture based on geographic data?

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One Camera Mule To Rule Them All

A mule isn’t just a four-legged hybrid created of a union betwixt Donkey and Horse; in our circles, it’s much more likely to mean a testbed device you hang various bits of hardware off in order to evaluate. [Jenny List]’s 7″ touchscreen camera enclosure is just such a mule.

In this case, the hardware to be evaluated is camera modules– she’s starting out with the official RPi HQ camera, but the modular nature of the construction means it’s easy to swap modules for evaluation. The camera modules live on 3D printed front plates held to the similarly-printed body with self-tapping screws.

Any Pi will do, though depending on the camera module you may need one of the newer versions. [Jenny] has got Pi4 inside, which ought to handle anything. For control and preview, [Jenny] is using an old first-gen 7″ touchscreen from the Raspberry Pi foundation. Those were nice little screens back in the day, and they still serve well now.

There’s no provision for a battery because [Jenny] doesn’t need one– this isn’t a working camera, after all, it’s just a test mule for the sensors. Having it tethered to a wall wart or power bank is no problem in this application. All files are on GitHub under a CC4.0 license– not just STLs, either, proper CAD files that you can actually make your own. (SCAD files in this case, but who doesn’t love OpenSCAD?) That means if you love the look of this thing and want to squeeze in a battery or add a tripod mount, you can! It’s no shock that our own [Jenny List] would follow best-practice for open source hardware, but it’s so few people do that it’s worth calling out when we see it.

Thanks to [Jenny] for the tip, and don’t forget that the tip line is open to everyone, and everyone is equally welcome to toot their own horn.

The camera, lens off to show the 1" sensor.

There’s Nothing Mini About This Mini Hasselblad-Style Camera’s Sensor

When someone hacks together a digital camera with a Raspberry Pi, the limiting factor for serious photography is usually the sensor. No offense to the fine folks at the foundation, but even the “HQ” camera, while very good, isn’t quite professional grade. That’s why when photographer [Malcolm Wilson] put together this “Mini Hasselblad” style camera, he hacked in a 1″ sensor.

The sensor in question came in the form of a OneInchEye V2, from [Will Whang] on Tindie. The OneInch Eye is a great project in its own right: it takes a Sony IMX283 one-inch CMOS image sensor, and packages it with an IMU and thermal sensor on a board that hooks up to the 4-lane MIPI interface on the Raspberry Pi CM4 and Pi 5.

Sensor in hand, [Malcolm] needed but to figure out power and view-finding. Power is provided by a Geekworm X1200 battery hat. That’s the nice thing about the Pi ecosystem: with so many modules, it’s like LEGO for makers. The viewfinder, too, uses 4″ HDMI screen sold for Pi use, and he’s combined it with a Mamiya C220 TLR viewfinder to give that look-down-and-shoot effect that gives the project the “Mini Hasselblad” moniker.

These are a few images [Malcom] took with the camera. We’re no pros, but at least at this resolution they look good.
The steel-PLA case doesn’t hurt in that regard either, with the styling somewhat reminiscent of vintage film cameras. The “steel” isn’t just a colour in this case, and the metal actually makes the PLA conductive, which our photographer friend learned the hard way. Who hasn’t fried components on a surface they didn’t realize was conductive, though? We bet the added weight of the steel in the PLA makes this camera much nicer to hold than it would be in plain plastic, at least.

The OneInchEye module came set up for C-mount lenses, and [Malcolm] stuck with that, using some Fujinon TV lenses he already had on hand. [Malcolm] has released STL files of his build under a Creative Commons NonCommercial license, but he’s holding the code back for subscribers to his Substack.

This isn’t the first Pi-based camera we’ve seen from [Malcolm], and there’ve been quite a few others on these pages over the years. There was even a Hackaday version, to test out the “official” module [Malcolm] eschewed.

I, 3D Printer

Like many of us, [Ben] has too many 3D printers. What do you do with the old ones? In his case, he converted it into a robotic camera rig. See the results, including footage from the robot, in the video below. In addition to taking smooth video, the robot can spin around to take photos for photogrammetry.

In fact, the whole thing started with an idea of building a photogrammetry rig. That project didn’t go as well as planned, but it did lead to this interesting project.

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