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.

Reviving A Legend: Mamiya RB67 Repair

The damaged parts in the camera are circled in red. Original graphic is from the Mamiya service manual.

When it comes to professional medium format analog cameras, the Mamiya RB67 is among the most well-known and loved, ever since its introduction in 1970. Featuring not only support for 120 and 220 film options, but also a folding and ‘chimney’ style view finder and a highly modular body, these are just some reasons that have made it into a popular – if costly – reflex system camera even today. This is one reason why [Anthony Kouttron] chose to purchase and attempt to repair a broken camera, in the hopes of not only saving a lot of money, but also to save one of those amazing cameras from the scrap heap. Continue reading “Reviving A Legend: Mamiya RB67 Repair”

Glowscope Reduces Microscope Cost By Orders Of Magnitude

As smartphones become more ubiquitous in society, they are being used in plenty of ways not imaginable even ten or fifteen years ago. Using its sensors to gather LIDAR information, its GPS to get directions, its microphone to instantly translate languages, or even use its WiFi and cellular radios to establish a wireless hotspot are all things which would have taken specialized hardware not more than two decades ago. The latest disruption may be in microscopy, as this build demonstrates a microscope that would otherwise be hundreds of thousands of dollars.

The microscope is a specialized device known as a fluorescence microscope, which uses a light source to excite fluorescent molecules in a sample which can illuminate structures that would otherwise be invisible under a regular microscope. For this build, the light is provided by readily-available LED lighting as well as optical filters typically used in stage lighting, as well as a garden-variety smartphone. With these techniques a microscope can be produced for around $50 USD that has 10 µm resolution.

While these fluorescence microscopes do have some limitations compared to units in the hundred-thousand-dollar range, perhaps unsurprisingly, they are fairly impressive for such a low-cost alternative. More details about these builds can also be found in their research paper published in Nature. Even without the need for fluorescence microscopy, a smartphone has been shown to be a fairly decent optical microscope, provided you have the right hardware to supplement the phone’s camera.

Pocket-Sized Thermal Imager

Just as the gold standard for multimeters and other instrumentation likely comes in a yellow package of some sort, there is a similar household name for thermal imaging. But, if they’re known for anything other than the highest quality thermal cameras, it’s excessively high price. There are other options around but if you want to make sure that the finished product has some sort of quality control you might want to consider building your own thermal imaging device like [Ruslan] has done here.

The pocket-sized thermal camera is built around a MLX90640 sensor from Melexis which can be obtained on its own, but can also be paired with an STM32F446 board with a USB connection in order to easily connect it to a computer. For that, [Ruslan] paired it with an ESP32 board with a companion screen, so that the entire package could be assembled together with a battery and still maintain its sleek shape. The data coming from the thermal imagining sensor does need some post-processing in order to display useful images, but this is well within the capabilities of the STM32 and ESP32.

With an operating time on battery of over eight hours and a weight under 100 grams, this could be just the thing for someone looking for a thermal camera who doesn’t want to give up an arm and a leg to one of the industry giants. If you’re looking for something even simpler, we’ve seen a thermal camera based on a Raspberry Pi that delivers its images over the network instead of on its own screen.

AI And Savvy Marketing Create Dubious Moon Photos

Taking a high-resolution photo of the moon is a surprisingly difficult task. Not only is a long enough lens required, but the camera typically needs to be mounted on a tracking system of some kind, as the moon moves too fast for the long exposure times needed. That’s why plenty were skeptical of Samsung’s claims that their latest smart phone cameras could actually photograph this celestial body with any degree of detail. It turns out that this skepticism might be warranted.

Samsung’s marketing department is claiming that this phone is using artificial intelligence to improve photos, which should quickly raise a red flag for anyone technically minded. [ibreakphotos] wanted to put this to the test rather than speculate, so a high-resolution image of the moon was modified in such a way that most of the fine detail of the image was lost. Displaying this image on a monitor, standing across the room, and using the smartphone in question reveals details in the image that can’t possibly be there.

The image that accompanies this post shows the two images side-by-side for those skeptical of these claims, but from what we can tell it looks like this is essentially an AI system copy-pasting the moon into images it thinks are of the moon itself. The AI also seems to need something more moon-like than a ping pong ball to trigger the detail overlay too, as other tests appear to debunk a more simplified overlay theory. It seems like using this system, though, is doing about the same thing that this AI camera does to take pictures of various common objects.