The hottest new trend in photography is manipulating Depth of Field, or DOF. It’s how you get those wonderful portraits with the subject in focus and the background ever so artfully blurred out. In years past, it was achieved with intelligent use of lenses and settings on an SLR film camera, but now, it’s all in the software.
For the Pixel 2 smartphone, Google had used some tricky phase-detection autofocus (PDAF) tricks to compute depth data in images, and used this to decide which parts of images to blur. Distant areas would be blurred more, while the subject in the foreground would be left sharp.
This was good, but for the Pixel 3, further development was in order. A 3D-printed phone case was developed to hold five phones in one giant brick. The idea was to take five photos of the same scene at the same time, from slightly different perspectives. This was then used to generate depth data which was fed into a neural network. This neural network was trained on how the individual photos relate to the real-world depth of the scene.
With a trained neural network, this could then be used to generate more realistic depth data from photos taken with a single camera. Now, machine learning is being used to help your phone decide which parts of an image to blur to make your beautiful subjects pop out from the background.
What has six wheels and runs on water? Azaris — a new off-road vehicle prototype from Ferox. Azaris has a rocker suspension modeled after the one on the Mars rover. The problem is, linking four drive wheels on a rocker suspension would be a nightmare. The usual solution? Motors directly in the wheels. But Ferrox has a different approach.
The vehicle has a conventional BMW motorcycle engine but instead of driving a wheel, it drives a pump. The pump moves fluid to the wheels where something similar to a water wheel around the diameter of the wheel causes rotation. The fluid is mostly water and the pressure is lower than a conventional hydraulic system. Auto Times has a video of some stills of the prototype and you can see it below. We haven’t actually seen it in motion, unfortunately.
Perhaps it is true that if all you have is a hammer every problem you see looks like a nail. When you think of augmented reality (AR), you usually think of something like the poorly-received Google Glass where your phone or computer overlays imagery in your field of vision. Bose isn’t known for video, though, they are known for audio. So perhaps it isn’t surprising that their upcoming (January 2019) AR sunglasses won’t feature video overlays. Instead, the $200 sunglasses will tell you what you are looking at.
The thing hinges on your device knowing your approximate location and the glasses knowing their orientation due to an inertial measuring system. In other words, the glasses — combined with your smart device — know where you are and what you are looking at. Approximately. So at the museum, if you are looking at a piece of art, the glasses could tell you more information about it. There’s a video showing an early prototype from earlier this year, below.
What do you get if you cross a Furby with a master of 20th Century literature? The Borgy. Argentinian hacker [Roni Bandini] found an old Furby and decided to hack it by altering its personality. His inspiration was the Argentinian writer Jorge Louis Borges, one of the pioneers of surrealist writing. The idea is that, at random times during the day, the Borgy will share a bit of wisdom from Borges to inspire and enlighten.
[Roni] hacked the Furby to replace the speaker with a more powerful one, and built a base to hold the larger speaker and a switch which can activate Borgy. He also used an Arduino Nano and a Sparkfun MP3 player shield loaded with the samples of Borges.
When the Furby speaks, it shares some wisdom from Borges. It’s a simple, but a surprisingly effective hack that could be very useful for someone seeking inspiration. Or, as Borges himself once said: “Don’t talk unless you can improve the silence.”
When 3G was developed, long ago now, spoofing cell towers was expensive and difficult enough that the phone’s International Mobile Subscriber Identity (IMSI) was transmitted unencrypted. For 5G, a more secure version based on a asymmetric encryption and a challenge-reponse protocol that uses sequential numbers (SQNs) to prevent replay attacks. This hack against the AKA protocol sidesteps the IMSI, which remains encrypted and secure under 5G, and tracks you using the SQN.
The vulnerability exploits the AKA’s use of XOR to learn something about the SQN by repeating a challenge. Since the SQNs increment by one each time you use the phone, the authors can assume that if they see an SQN higher than a previous one by a reasonable number when you re-attach to their rogue cell tower, that it’s the same phone again. Since the SQNs are 48-bit numbers, their guess is very likely to be correct. What’s more, the difference in the SQN will reveal something about your phone usage while you’re away from the evil cell.
A sign of the times, the authors propose that this exploit could be used by repressive governments to track journalists, or by advertisers to better target ads. Which of these two dystopian nightmares is worse is left as comment fodder. Either way, it looks like 5G networks aren’t going to provide the location privacy that they promise.
The crash of the videogame market in 1983 struck down a slew of victims, and unique products such as the Vectrex were not immune to its destructive ways. The all-in-one console featured a monochromatic vector display and offered an arcade-like experience at home complete with an analog joystick controller. It sadly never made it to its second birthday before being axed in early 1984, however, thanks to the [National Videogame Museum] we now how a glimpse of an alternate history for the Vectrex. They posted some photos of an unreleased Vectrex prototype that was restored to working order.
Little was known about this “Mini version” of the Vectrex as its very existence was called into question. The console came into and left the videogame market in such short order that its distributor, Milton Bradley, would have killed any additional model posthaste. Little thought was given to the idea, though a rumor appeared in Edge magazine issue 122. The article detailed a fan’s memory of seeing a Vectrex shaped “like a shoebox” on the president’s desk.
Seven years after the publication of that story, photos of the Vectrex design revision were posted by one of the Vectrex designer’s sons on Flickr. These photos served as the only concrete evidence as to the existence of the machine that were widely available for some time. That was until the [National Videogame Museum] managed to acquire the actual prototype as part of the museum’s collection in Frisco, TX. So for those without plans to swing through the DFW area in the near future, there is the video of the mini Vectrex in action below.
Here’s an interesting thought: it’s possible to build a cubesat for perhaps ten thousand dollars, and hitch a ride on a launch for free thanks to a NASA outreach program. Tracking that satellite along its entire orbit would require dozens or hundreds of ground stations, all equipped with antennas and a connection to the Internet. Getting your data down from a cubesat actually costs more than building a satellite.
This is the observation someone at Amazon must have made. They’ve developed the AWS Ground Station, a system designed to downlink data from cubesats and other satellites across an entire orbit. Right now, Amazon only has two ground stations attached, but they plan to have a dozen in place by the middle of next year. Each of these ground stations are associated with a particular AWS region (there are a total of sixteen AWS regions, which might limit the orbital coverage of the AWS Ground Station system), and consists of an antenna, an alt-az mount, and a gigantic bank of servers and hard drives to capture data from satellites orbiting overhead.
The Amazon blog post goes over how easy it is to capture data from a satellite, and it’s as easy as getting a NORAD ID, logging into your AWS account, and clicking a few buttons.
It should go without mention that this is the exact same idea behind SatNOGS, an Open Source global network of satellite ground stations and winner of the 2014 Hackaday Prize. One of their ground stations is what’s pictured at the top if this article. Right now, SatNOGS has over seventy ground stations in the network, including a few stations that are in very useful locations like the Canary Islands. The SatNOGS network already has a lot more coverage than the maximum of sixteen locations where Amazon has their data centers — made possible by its open nature. Congrats to the SatNOGS team once again for creating something so useful, and doing it four years before Amazon.
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