New Raspberry Pi Camera With Global Shutter

Raspberry Pi has just introduced a new camera module in the high-quality camera format. For the same $50 price you would shell out for the HQ camera, you get roughly eight times fewer pixels. But this is a global shutter camera, and if you need a global shutter, there’s just no substitute. That’s a big deal for the Raspberry Pi ecosystem.

Global vs Rolling

Most cameras out there today use CMOS sensors in rolling shutter mode. That means that the sensor starts in the upper left corner and rasters along, reading out exposure values from each row before moving down to the next row, and then starting up at the top again. The benefit is simpler CMOS design, but the downside is that none of the pixels are exposed or read at the same instant.

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Do You Need The Raspberry Pi Camera Module V3?

This month came the announcement of some new camera modules from Raspberry Pi. All eyes were on version 3 of their standard camera module, but they also sneaked out a new version of their high quality camera with an M12 lens mount. The version 3 module is definitely worth a look, so I jumped on a train to Cambridge for the Raspberry Pi Store, and bought myself one for review.

There’s nothing new about a Pi camera module as they’ve been available for years in both official and third party forms, so to be noteworthy the new one has to offer something a bit special. It uses a 12 megapixel sensor, and is available both in autofocus and wide angle versions in both standard and NoIR variants. Wide angle and autofocus modules may be new in the official cameras, but these are both things which have been on the third-party market for years.

So if an autofocus camera module for your Pi isn’t that new, what can we bring to a review that isn’t simply exclaiming over the small things? Perhaps it’s better instead to view the new camera in the context of the state of the Pi camera ecosystem, and what better way to do that than to turn a Pi and some modules into a usable camera! Continue reading “Do You Need The Raspberry Pi Camera Module V3?”

ERRF 22: Building A Library Of Filament Colors

If you’ve ever paged through the color samples at the hardware store trying to match a particular color, you know how hard it can be. Not only are there nearly limitless color variations, but each manufacturer has their own formulas and tints. Often times, the only way to get the exact color you need is to get it custom mixed.

Unfortunately, that’s not really an option when it comes to filament for your 3D printer. Will that roll of orange from Hatchbox actually match the orange from Overture? That’s where the Filament Librarian comes in. Created by [Joe Kaufeld], the project aims to catalog and photograph as many 3D printer filaments as possible so you can see exactly what you’re getting.

Now of course, if it was as easy as looking at pictures of filament swatches on your computer, you wouldn’t need this service to begin with. So what’s the trick? A custom automated camera rig, powered by the Raspberry Pi, is used to position, light, and photograph each filament sample in the library. So while [Joe] can’t promise your monitor is showing a perfect representation of each filament’s color, you can at least be sure they will all look correct in relation to each other. So for example, the site can help you figure out if the local Microcenter stocks anything that comes close to matching Prusament’s Galaxy Silver PLA.

[Joe] brought a collection of his samples along with his slick camera setup to the 2022 East Coast RepRap Festival so attendees could see first-hand how he adds a new filament to the database. With an easy-to-use touch-screen interface, it takes just seconds to get the camera ready for the next shot.

Now that he’s got the hardware and the procedure down, [Joe] is asking the community to help out by providing him with filament samples to process. It doesn’t take much: all he asks is you snip him off a couple meters of filament, write down what it is and who makes it on a pre-made form, and drop it in the mail. If you’re in the US, you can send it directly to his address in Indiana, and for those on the other side of the globe, he’s got a drop point in the Netherlands you can use.

We love a good passion project here at Hackaday, so here’s hoping that the Filament Librarian receives plenty of new filament samples from all over the planet to feed into that fancy camera setup of his.

A Pi Camera To Be Proud Of

The Raspberry Pi HQ camera has appeared in a variety of builds since its introduction back in 2020, and has brought with it many opportunities for photographic projects to compete with the professionals. The latest we’ve been sent is from [Kevin McAleer], who has taken the camera with a full-size Pi and clothed it in a case very similar to the crop of mirror-less compact cameras.

Inside the box is a Waveshare touchscreen that fits on the GPIO header, and a NanoWave 5000 mAH USB battery pack. The camera module fits on the front of the unit, with the C-mount ready to take a lens. Software is still a work in progress and is promised to be a Python script controlling the various camera programs. There are enough Pi camera projects for software to be a matter of choice and taste.

We like the form factor and we like the use of the very compact NanoWave battery, so we think this is a design with some possibilities. Perhaps a cover over the Pi ports might be of use though for general robustness in the face of everyday photography. The question remains though, whether it can come close to the performance of even a budget mirror-less compact camera, and we’re guessing that will depend as much on the operator skill, lens quality, and software capabilities as it does on the Pi HQ module. We look forward to seeing what comes of this project, but meanwhile you can see a video with all the details below the break.

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A robot that detects whether you are awake and gently taps you if not.

Wake-Up Robot Does It Gently

For hundreds of years, people have fallen asleep while reading in bed late at night. These days it’s worse, what with us taking phones to the face instead when we start to nod off. At least they don’t have pointy corners like books. While you may not want to share your bedroom with a robot, this wake-up robot by [Norbert Zare] may be just the thing to keep you awake.

Here’s how it works: a Raspberry Pi camera on a servo wanders around at eye level, and the Pi it’s attached to uses OpenCV to determine whether those eyes are open or starting to get heavy. The bot can also speak — it uses eSpeak to introduce itself as a bot designed not to let you sleep. Then when it catches you snoozing, it repeatedly intones ‘wake up’ in a bored British accent.

We were sure that the thing was designed to slap [Norbert] in the face a la [Simone Giertz]’s robot alarm clock, but no, that long-fingered hand just slowly swings down and gently taps [Norbert] on the arm (or whatever is in the path of the slappy hand). Check out the short demo and build video after the break.

Do you want to be awoken even more gently? Try a sunlight lamp. We’ve got dozens in stock, but this one gradually gets about as bright as the sun.

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Using A Laser To Blast Away A Bayer Array

A Bayer array, or Bayer filter, is what lets a digital camera take color photos. It’s an array of tiny color filters that sit on top of a camera’s CCD. The filter makes it so that each sub-pixel in the image sensor only sees red, green, or blue light. The Bayer filter is an elegant tool that gives us color digital photos, but what would you do if you wanted to remove one?

[Les Wright] has devised a way to remove the Bayer filter from the Raspberry Pi Camera. Along with filtering red, green, and blue light for their respective sensors, Bayer filters also greatly reduce the amount of UV and IR light that make it to the CCD sensor. [Les] uses the Raspberry Pi camera in his Pi-based Spectrometer, and he wants to remove the Bayer filter to improve and expand its sensitivity.

Of course, [Les] isn’t the first one to want to do this. Some have succeeded in physically scratching the filter off of the CCD, but because the Pi Camera has vital circuitry around the outside of the sensor, scratching the filter off would likely destroy the circuitry. Others have stripped it off using chemical means, so [Les] gave this a go and destroyed no small number of cameras in his attempt to strip the filter off with solvents like DMSO, brake fluid, and industrial paint stripper.

A look at the CCD, halfway through the process.

Inspired by techniques used in industry, [Les] eventually tried to use a several-kW nitrogen laser to burn off the filter (which seems appropriate given his experience with lasers). He built a rig that raster scans the laser across the sensor using stepper motors to drive micrometer bases. A USB microscope was included to allow progress to be monitored, and you can see a change in the sensor’s appearance as the filter is removed.

After blasting off the Bayer filter, [Les] plugged his improved camera into his home-built spectrometer and pointed it outside. The new camera gives the spectrometer much more uniform sensitivity and allows [Les] to see further into the IR and UV bands. The spectrometer can even detect the Fraunhofer lines—subtle dips in the sun’s spectrum from absorption by molecules in the atmosphere.

This is incredible for a DIY setup and instrument, and we can’t wait to see what [Les] does next to improve his measurements. If your spectrometry needs are more mass than visual, take a look at this home-built mass spectrometer. Home spectrometers aren’t just for examining light spectra—they can also be used to judge the ripeness of fruit!

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Raspberry Pi Cameras Stand In For Stereo Microscope

Handling tiny surface mount components and inspecting PCBs is a lot easier with a nice stereo microscope, but because of their cost and bulk, most hobbyists have to do without. At best they might have a basic digital microscope, but with only one camera, they can only show a 2D image that’s not ideal for detail work.

The team behind [Stereo Ninja] hopes to improve on the situation by developing a stereoscopic vision system that puts tiny objects up on the big screen in three dimensions. Utilizing the Raspberry Pi Compute Module, a custom carrier board that enables the use of both MIPI CSI camera interfaces, and a 3D gaming monitor, their creation combines the capabilities of a traditional stereo microscope with the flexibility of a digital solution.

With two Raspberry Pi cameras suspended over the work area, and the addition of plenty of LED light, Stereo Ninja is able to generate the 3D image required by the monitor. While the camera’s don’t have the same magnification you’d get from a microscope, they’re good enough for enlarging SMD parts, and looking at a big screen monitor certainly beats hunching over the eyepiece of a traditional microscope. Especially if you’re trying to show something to a group of people, like at a hackerspace.

Of course, not everyone has a large 3D gaming monitor on their workbench. In fact, given how poorly the tech went over with consumers the last time it was pushed on us, we’d wager more hackers have stereo microscopes than 3D displays. Which is why the team’s next step is to have the Raspberry Pi generate the signals required by the shutter glasses, allowing Stereo Ninja to show a three dimensional image on 2D monitors; bringing this valuable capability to far larger audience than has previously been possible.

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