One of [Wayne’s] relatives had their house robbed during a blizzard/extended power outage, and as is typically the case, none of the stolen items were recovered. His nephew’s PS3 was among the pilfered belongings, which didn’t sit well with him. Taking a cue from police “bait cars”, he thought it would be cool to fit a dummy game console with a tracking device, should anything similar happen in the future.

He bought a hollowed out PS3 shell on eBay, filling it with an Arduino, an accelerometer, a GPS sensor, a small GSM modem with a prepaid SIM card, and a reasonably sized LiPoly battery. The system usually sits in a sleeping state, but when the accelerometer senses motion, the Arduino powers up the GSM modem and sends an SMS security alert to his mobile phone. Using his phone to control the tracking system via SMS, he can request GPS coordinates and directional information, which can then be relayed to the police.

His tracking system is a great idea since hawking stolen game consoles are easy money for thieves. If there happens to be a string of robberies in your neighborhood, you could certainly rest a little bit easier knowing that your Playstation doppelganger will let you know if someone is looting your house.

It looks like the world of Kinect hacks is about to get a bit more interesting.

While many of the Kinect-based projects we see use one or two units, this 3D telepresence system developed by UNC Chapel Hill student [Andrew Maimone] under the guidance of [Henry Fuchs] has them all beat.

The setup uses up to four Kinect sensors in a single endpoint, capturing images from various angles before they are processed using GPU-accelerated filters. The video captured by the cameras is processed in a series of steps, filling holes and adjusting colors to create a mesh image. Once the video streams have been processed, they are overlaid with one another to form a complete 3D image.

The result is an awesome real-time 3D rendering of the subject and surrounding room that reminds us of this papercraft costume. The 3D video can be viewed at a remote station which uses a Kinect sensor to track your eye movements, altering the video feed’s perspective accordingly. The telepresence system also offers the ability to add in non-existent objects, making it a great tool for remote technology demonstrations and the like.

Check out the video below to see a thorough walkthrough of this 3D telepresence system.

While the Kinect is great at tracking gross body movements and discerning what part of a person’s skeleton is moving in front of the camera, the device most definitely has its shortfalls. For instance, facial recognition is quite limited, and we’re guessing that it couldn’t easily track an individual’s eye throughout the room.

No, for tracking like that, you would need something far more robust. Under the guidance of [Krystian Mikolajczyk and Jiri Matas], PhD student [Zdenek Kalal] has been working on a piece of software called TLD, which has some pretty amazing capabilities. The software uses almost any computer-connected camera to simultaneously Track an object, Learn its appearance, and Detect the object whenever it appears in the video stream. The software is so effective as you can see in the video below, that it has been dubbed “Predator”.

Once he has chosen an object within the camera’s field of vision, the software monitors that object, learning more and more about how it looks under different conditions. The software’s learning abilities allow it to pick out individual facial features, follow moving objects in video, and can recognize an individual’s face amid a collection of others.

While the software can currently only track one object at a time, we imagine that with some additional development and computing horsepower, this technology will become even more amazing.

Most people tend to enjoy a certain modicum of privacy. Aside from the data we all share willingly on the web in the form of forum posts, Twitter activity, etc., people generally like keeping to themselves.

What would you think then, if you found out your iPhone (or any iDevice with 3G) was tracking and logging your every movement?

That’s exactly what two researchers from the UK are claiming. They state that the phone is constantly logging your location using cell towers, placing the information into a timestamped database. That database is not encrypted, and is copied to your computer each time you sync with iTunes. Additionally, the database is copied back to your new phone should you ever replace your handset.

We understand that many iPhone apps use location awareness to enhance the user experience, and law enforcement officials should be able to pull data from your phone if necessary – we’re totally cool with that. However, when everywhere you have been is secretly logged in plaintext without any sort of notification, we get a bit wary. At the very least, Apple should consider encrypting the file.

While this data is not quite as sensitive as say your Social Security number or bank passwords, it is dangerous in the wrong hands just the same. Even a moderately skilled thief, upon finding or swiping an iPhone, could easily dump the contents and have a robust dataset showing where you live and when you leave – all the makings of a perfect home invasion.

Continue reading to see a fairly long video of the two researchers discussing their findings.

[Image courtesy of Engadget]

Earlier this week, we came across a video of an orb-based eyeball that would follow you throughout the room, based on data gathered from a Kinect sensor. Try as we might, we couldn’t find much more than the video, but it seems that the guys behind the project have spoken up in a recent blog post.

[Jon George] of The Design Studio UK explained that the person-tracking eyeball visualization was built using a PC, a Kinect, and a product called the Puffersphere, which projects a 360 degree image on the inside of a glass orb. A panoramic image is converted for use by the special lens inside the sphere by applying a filter which warps the image into a circular shape.

After the image has been created, a simple Windows app is used in conjunction with the OpenNI framework that allows the image to follow you around the room.

The only problem with this fun little project is the price of the sphere – we’re not sure what it is exactly, but rest assured it is more than we are willing to pay for such a toy. We’re thinking there has to be a way to simulate the orb’s effect to some degree using cheaper hardware. It’s possible that it could be done using a small-scale DIY version of this spherical mirror projection build, though it consists of concave half-spheres rather than full orbs.

In the meantime, take a look at these two videos of the orb in action. Don’t worry – we know you were totally thinking about the Eye of Sauron, so the second video should not disappoint.

F.A.T. took it to the next level, combining a couple of their projects for the Cinekid festival. This contraption lets kids write their names with their eyes for printing by a robot arm. The first part is a glasses-free version of the EyeWriter, originally developed as an assistive technology. The system uses some IR LEDs to generate a reflection on your eye that a PS3 camera can pick up and use to precisely track your gaze. Just look at each key on a virtual keyboard to spell out your message. From there, a robot arm used previously in the Robotagger project prints out the name on a big sheet of paper the kids can take home. This is cool, but more importantly it’s a great way to inspire the next generation of hackers and engineers. Check out the video after the break.

This robot eye can move five times faster than the human eye. It’s capable of being used to follow a human gaze and, as you can see by that coin, it’s small enough to be used in pairs. When used to follow your gaze it needs a custom-made eye tracker. The thought here is that a lot can be learned about a person’s psyche by monitoring what they are focusing on. But we wonder about the augmented reality properties of a setup like this.

Imagine a pair of glasses as a heads up display. If this camera knows where you’re looking it can process the items in your gaze and overlay digital information. As with all new technology there are obvious military uses for this, but we’d be more interested in a Flickr pool type collection of people’s real-world experiences. Like subscribing to the locations of that thumb drive network in NYC and having the camera/glasses guide you to the nearest installation.

Want to see how fast this thing responds? Check out the video after the break.

[via Neatorama]

The EyeSeeCam is a rig that attaches to your noggin and points a camera wherever your gaze falls. There’s actually four cameras involved here, one to track each eye via a reflecting piece of acrylic, one as your third eye, and finally the tracking camera above that. There are some legitimate medical uses for this type of technology, but we enjoyed seeing some of the videos that [Johannes Vockeroth] put together showing everyday activities. We’ve embedded several clips after the break including an example of reading a book while wearing the apparatus. The third eye camera provides the wide shot with close-ups of the wearer’s visual focus.

Eye tracking camera

Read a book with the EyeSeeCam

Opthalmologic applications

[Thanks The Ideanator]

As we all know, a solar panel must be exposed to the most amount of sunlight possible to reach full efficiency. A solid mount limits the amount of time that the panel is fully exposed to direct sunlight. The solution is to build a pivoting mount that automates the process of aiming at the sun.

[bwitmer] takes us through the process of building one out of some wood and old bicycle rims. He bought a pre made tracking unit to control his actuator, but we think many of you here could rig something up on your own.

[via HacknMod]

Elaborating on an item previously mentioned among last weekend’s Cornell final projects list, this time with video:

For their ECE final project, [Adam Papamarcos] and [Kerran Flanagan] implemented a real-time video object tracking system centered around an ATmega644 8-bit microcontroller. Their board ingests an NTSC video camera feed, samples frames at a coarse 39×60 pixel resolution (sufficient for simple games), processes the input to recognize objects and then drives a TV output using the OSD display chip from a video camera (this chip also recognizes the horizontal and vertical sync pulses from the input video signal, which the CPU uses to synchronize the digitizing step). Pretty amazing work all around.

Sometimes clever projects online are scant on information…but as this is their final grade, they’ve left no detail to speculation. Along with a great explanation of the system and its specific challenges, there’s complete source code, schematics, a parts list, the whole nine yards. Come on, guys! You’re making the rest of us look bad… Videos after the break…

[G’day Bruce]

Basic object tracking:

Human Tetris:

Brick Breaker:

[Thomas] found a paper from 2006 that describes using the Nike + iPod system as inexpensive tracking devices. Yep, it’s old as dirt but we think it’s fascinating reading! [Scott Saponas] and his fellow authors take a hard look at the lack of security in the system in a twelve-page PDF. They cover several different ways to capture and track one of the $29 tags in someone’s shoe, including using the Gumstix reader above, or a slightly modified 3G iPod. If the sensors are not removed or manually switched off when not in use they can be picked up by any RF reader within range. Because the tags are cheap and available, one could be planted on an unsuspecting victim James-Bond-style. Maybe this is what prompted Apple’s half-hearted attempt to restrict hacking the devices to do things like unlock doors.

Of course if you don’t want to do the reading you could download their video presentation or just stream it.

[Carmine] let us know about his team’s Automated Football Launcher. Their goal was to combine a football launcher with motion tracking, to allow a player to practice running and catching with the perfect throw. Unfortunately, and we’re not quite sure when, they ended up changing out the Jugs machine for an air cannon, which resulted in the use of foam footballs and the loss of throwing factors such as spiral. Somewhat defeating the purpose but we’ll let it slide; only because we know its going to be shooting potatoes eventually.

The project comes together by using two cameras giving distance and color tracking, combined with a rotating platform (and the best use of garden hose ever), an accurate set-top for their launcher. As seen in the video after the jump, it works out quite nicely.

[Techb] had a friend who was paralyzed after an accident and could no long use a computer. He rigged up an amazingly simple mouse interface using python to implement infrared tracking. The controller was built from an old hat by adding an IR LED and wireless mouse modified so that the button could be clicked by the user’s mouth. A webcam with exposed film used as a filter can track the IR LED and take input from the wireless mouse buttons.

This setup, which draws inspiration from Wii Remote white boards,  is much simpler than the Eyewriter (and doesn’t shine an IR LED into your eye). Although [Techb] wants to add facial recognition to the system, there’s something to be said for such a simple implementation.

[Thanks Wolfmankurd]

[Nicholas] built an active tracking system using RFID tags. The system’s tags operate in the 2.4 GHz band and are used to track either people or assets. The readers are on a mesh network and can triangulate the location of any tag for display on a map. His system is even set up to show the travel history of each tag. [Nicholas] shared every detail in his writeup including some background about available hardware options and how he made his final decisions on what devices to use for the job. His conglomeration of software that ties the whole project together is also available for download.

Thanks to [Josh, Kyle, and Mike], it is now possible to wage (Nerf) war with an Arduino. The turret designed around it is capable of shooting 6 foam projectiles in close succession, between reloads. The faux weapon interfaces with a computer through the Arduino’s onboard serial link (via USB). Software on the PC sends commands to the Arduino, which then executes functions, such as panning, tilting, firing, and rotating the cylinder. The power for the firing itself comes from a 5 gal, 80 psi air compressor. The Java software on the host PC also does smarter things, like show streaming video from the turret’s webcam and even performs basic object tracking (with mixed success). All the code for building the brute is available on [Josh's] website.