Make Yourself A Megamind With A Hypercentric Camera

Sometimes, all it takes to learn something new is a fresh perspective on things. But what’s to be learned from reversing your perspective completely with a hypercentric lens? For one thing, that you can make humans look really, really weird.

To be fair, there’s a lot to the optical story here, which [volzo] goes over in ample detail. The short version of it is that with the right arrangement of optical elements, it’s possible to manipulate the perspective of a photograph for artistic effect, up to the point of reversing the usual diminishment of the apparent size of objects in the scene that are farther away from the camera. Most lenses do their best to keep the perspective of the scene out of this uncanny valley, although the telecentric lenses used in some machine vision systems manipulate the perspective to make identical objects within the scene appear to be the same size regardless of their distance from the camera. A hypercentric lens, on the other hand, turns perspective on its head, making near objects appear smaller than far objects, and comically distorts things like the human face.

[volzo]’s hypercentric camera uses a 700-mm focal length Fresnel lens mounted on a motorized gantry, which precisely positions a camera relative to the lens to get the right effect. A Raspberry Pi controls the gantry, but it’s not strictly needed for the hypercentric effect to work. Lighting is important, though, with a ring of LEDs around the main lens providing even illumination of the scene. The whole setup as well as the weirdly distorted portraits that result are shown in the video below.

If these bizarrely distorted faces look familiar, you might be recalling [Curious Marc]’s head-enlarging wearable.

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AI Camera Imagines A Photo Of What You Point It At

These days, every phone has a camera, and few of us are ever without one. [Bjørn Karmann] has built an altogether not-camera, though, in the form of the Paragraphica, powered by artificial intelligence.

The Paragraphica doesn’t actually take photographs at all. Instead, it uses GPS to determine the user’s current position. It then feeds the address, time of day, weather, and temperature into a paragraph which serves as a prompt for an AI image generator. It also uses data gathered from various APIs to determine points of interest in the immediate area, and feeds those into the prompt as well. It then generates an artificial image that is intended to bear some resemblance to the prompt, and ideally, the real-world scene. In place of a lens, it bears a 3D printed structure inspired by the star-nosed mole, which feels its way around in lieu of using its eyes.

Three dials on the Paragraphica control its action. The first dial controls the radius of the area which the prompt will gather data about; it’s akin to setting the focal length of the lens. The second dial provides a noise seed value for the AI image generator, and the third dial controls how closely the AI sticks to the generated textual prompt.

The results are impressive, if completely false and generated from scratch. The Paragraphica generates semi-believable photos of a crowded alley, a public park, and a laneway full of parked cars. It’s akin to telling a friend where you are and what you’re seeing over the phone, and having them paint a picture based on that description.

Through their unique abilities and stolen data sets, AI image generators are proving controversial to say the least. As all good art does, Paragraphica explores this and raises new questions of its own.

IR Camera Is Excellent Hacking Platform

While there have been hiccups here and there, the general trend of electronics is to decrease in cost or increase in performance. This can be seen in fairly obvious ways like more powerful and affordable computers but it also often means that more powerful software can be used in other devices without needing expensive hardware to support it. [Manawyrm] and [Toble_Miner] found this was true of a particular inexpensive thermal camera that ships with Linux installed on it, and found that this platform was nearly perfect for tinkering with and adding plenty of other features to turn it into a much more capable tool.

The duo have been working on a SC240N variant of the InfiRay C200 infrared camera, which ships with a Hisilicon SoC. The display is capable of displaying 25 frames per second, making this platform an excellent candidate for modifying. A few ports were added to the device, including USB and MicroSD, and which also allows the internal serial port to be accessed easily. From there the device can be equipped with the uboot bootloader in order to run essentially anything that could be found on any other Linux machine such as supporting a webcam interface (and including a port of DOOM, of course). The duo doesn’t stop at software modifications though. They also equipped the camera with a lens, attached magnetically, which changes the camera’s focal length to give it improved imaging capabilities at closer ranges.

While the internal machinations of this device are interesting, it actually turns out to be a fairly capable infrared camera on its own as well. The hardware and software requirements for these devices certainly don’t need a full Linux environment to work, and while we have seen thermal cameras that easily fit in a pocket that are based on nothing any more powerful than an ESP32, it does tend to simplify the development process dramatically to include Linux and a little more processing power if you can.

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Inside A Pair Of Smart Sunglasses

If you’re willing to spend $200 USD on nothing more than 100 grams of plastic, there are a few trendy sunglasses brands that are ready to take your money before you have time to think twice. Sure, you can get a pair of sunglasses for an order of magnitude less money that do the exact same job, but the real value is in the brand stamped into the plastic and not necessarily the sunglasses themselves. Not so with this pair of Ray-Bans, though. Unlike most of their offerings, these contain a little bit more than a few bits of stylish plastic and [Becky Stern] is here to show us what’s hidden inside.

At first glance, the glasses don’t seem to be anything other than a normal pair of sunglasses, if a bit bulky But on closer inspection they hide a pair of cameras and a few other bits of electronics similar to the Google Glass, but much more subtle. The teardown demonstrates that these are not intended to be user-repairable devices, and might not be repairable at all, as even removing the hinges broke the flexible PCBs behind them. A rotary tool was needed to remove the circuit boards from the ear pieces, and a bench vice to remove the camera modules from the front frame. We can presume these glasses will not be put back together after this process.

Hidden away inside is a pair of cameras, a Snapdragon quad-core processor, capacitive touch sensors, an amplifier for a set of speakers. Mostly this is to support the recording of video and playback of audio, and not any sort of augmented reality system like Google Glass attempted to create. There are some concerning ties with Facebook associated with this product as well which will be a red flag for plenty of us around here, but besides the privacy issues, lack of repairability, and lack of features, we’d describe it as marginally less useful as an entry-level smartwatch. Of course, Google Glass had its own set of privacy-related issues too, which we saw some clever projects solve in unique ways.

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Building A Motorized Pan Tilt Rig For Filming

Today, anyone can shoot video because cameras are cheap and readily available. But if you want to do fancy Hollywood-style moving shots, you’ll need somebody to point the thing — or a machine to do it for you. [Giovanni Aggiustatutto] went the latter route with this mechanized pan-tilt build.

The build relies on stepper motors for clean and accurate movement on both axes. Belt drives are used to step down the output of the motors for greater torque. The pan-tilt mechanism itself is built from a combination of 3D printed parts paired with wooden components and a pair of aluminium tubes for rigidity. The whole assembly comes with a standard mount for use with a regular tripod. An Arduino Uno runs the show, using TMC2208 stepper drivers to command the motors. A control pad featuring a joystick and buttons is used for control, with an LCD to provide useful feedback to the user.

Pan-tilt systems are more typically used for security purposes, but we like the application to creative work here.

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Send This FPV Bot Into The Crawlspace To Do Your Dirty Work

The least pleasant space in most houses is likely to be the space below it. Basements tend to be dank, dusty, and full of too many things that have too many legs. And even worse than the full basement is the dreaded crawlspace, which adds claustrophobia to the long list of unpleasantries that lie below. Sadly, though, a crawlspace might be a handy place to run wires, and if you’re hesitant to delve too deeply, this FPV cable-laying rig might be something to keep in mind.

This one comes to us from [Old Alaska] with very little detail other than what’s in the brief video below. The setup is clear enough — a need to run an Ethernet cable from one side of the house to the other, and a crawlspace to do it in. Also in the toolkit was an RC rock crawler with a field-expedient FPV camera. With Breaking Bad-style access to the crawlspace through a few floorboards, [Old Alaska] was able to deploy the crawler dragging a Cat 5 cable behind it. The terrain under the house made the rock crawler a good choice, with four-wheel-drive, locking differentials, and an articulating frame. The bot’s-eye view also makes it clear that actually crawling in this rubble-strewn crawlspace would be a painful affair.

With very little drama, [Old Alaska] was able to navigate the crawler across the crawlspace to the outer wall of the house, where he could fish the wire out and complete the connection — no fuss, no muss, no bloody knees. The only quibble we’d have is not running an extra length of pull rope with the wire. You never know when it’ll come in handy.

The whole thing reminds us of a more tactical version of [Cliff Stoll]’s subterranean inventory management bot.

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Your Fuji Digital Camera Is Hackable

There was a time when a digital camera was a surprisingly simple affair whose on-board processor didn’t have much in the way of smarts beyond what was needed to grab an image from the sensor and compress it onto some storage. But as they gained more features, over time cameras acquired all the trappings of a fully-fledged computer in their own right, including full-fat operating systems and the accompanying hackability opportunities.

Prominent among camera manufacturers are Fujifilm, whose cameras it turns out have plenty of hacking possibilities. There’s something of a community about them, with all their work appearing in a GitHub repository, and a cracking April Fool in which a Fujifilm camera appears able to be coaxed into running DOOM.

Correction: We’ve since heard from creator [Daniel] who assures us that not only was the DOOM hack very much real, but that he’s released the instructions on how to run the classic shooter on your own Fujfilm X-A2.

Fujifilm cameras past 2017 or so run the ThreadX real-time operating system on a variety of ARM SoCs, with an SQLite data store for camera settings and some custom software controlling the camera hardware. The hackability comes through patching firmware updates, and aside from manipulating the built-in scripting language and accessing the SQLite database, can include code execution.

Don’t have a Fujifilm? They’re not the only hackable camera to be found.