Alright, here we’re going for chapter on Manchester Encoding. Brian J Hoskins did just that when building this RC5 decoder. This protocol is widely used in television remote controls. You use them on a daily basis, don’t you think it’s time you understood what’s going on? Check out his writeup and learn the dark art of invisible light communication. Or just skip the learning and follow this how-to.
[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.
This is a working tracking system using RFID tags built by Nicholas Skinner. 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.
A company calling its collective group of body monitoring products the WIN Human Recorder system has released a new device called the HRS-I. Designed to measure and record a person’s electrocardiographic signals, body surface temperature and overall body movements, the tiny unit can easily be worn under your shirt as you attend to your daily business.
The device communicates wirelessly with a remote base and can last on a single charge for up to three days. Targeted toward companies working to monitor employee health, the HRS-I can be purchased for just 30,000 yen ($331) and the monitoring service costs just 10,000 yen ($110) per month.
You can now harvest WiFi signals and turn it into power to charger up your mobile phone or netbooks.
This little box has, inside it, some kind of circuitry that harvests WiFi energy out of the air and converts it into electricity. This has been done before, but the Airnergy is able to harvest electricity with a high enough efficiency to make it practically useful: on the CES floor, they were able to charge a BlackBerry from 30% to full in about 90 minutes, using nothing but ambient WiFi signals as a power source.
[Alexander] built an RFID emulator. It uses a wire coil (not pictured here) and an ATmega8 to represent any tag that is EM4001 compliant. This iteration requires connection to a computer to send the tag ID information to the microcontroller. In the video after the break it looks like he’s using a DIY RFID reader to test this. If the two were combined, cutting out the need for a computer, he would have an RFID spoofer on his hands.
As was talked about in the comments of the other article, the efficiency compared to that of a cable doesn’t blow our socks off. But this does show mainstream development of this technology. We hope to see advances in both efficiency and distance. We also look forward to that small black box (which we presume facilitates the energy transfer) being integrated into the TV’s body.
Researchers at the University of Utah have been able to detect movement in a room based on variations in wireless signals. Accurate to about a meter, they are using a 34 node wireless network to do their sensing. As a person moves, they change the signals, and can therefore be detected. They state one possible application being rescue workers deploying multiple wireless nodes around a building to find people located inside.
Heading south on the New Jersey Turnpike, Ford Motor Company engineer Jerry Engelman swings his 2010 Taurus into the left lane to pass a semi. The Taurus hesitates, slowing down, and then Engelman adjusts his heading. The car takes off. “Larry,” he calls to his colleague in the back seat, “write that down!”
Engelman is driving, but just barely. The Taurus has a radar-based adaptive cruise-control system that lets him set a top speed and then simply steer while the car adjusts its velocity according to traffic. He’s been weaving and changing lanes, doing between 45 and 70 mph—and hasn’t touched a pedal in an hour. Over the past few years, Ford engineers have driven 60,000 miles to test, tweak, and optimize this system, which also provides collision warning alerts. They’ve been focused on the future in a financially dismal present—analysts actually praised Ford for losing only $1.4 billion in the first quarter. “It’s a tough market,” says Derrick Kuzak, VP of global product development, noting that the Taurus is important for “reestablishing us in the large-sedan market.” That’s executive-speak for “This car really needs to sell.”