A self-locking mailbox could someday flag down delivery drones and intelligently screen your driveway for intruders. Columbus State University computer scientist Lydia Ray presented the technology, called the ADDSMART project, during a 20 October session at the annual IEEE Ubiquitous Computing, Electronics, and Mobile Communication Conference in New York City. The project aims to achieve two goals: clearly marking addresses for autonomous vehicles, and reducing the energy and data storage costs of home surveillance systems. An early prototype mailbox attachment suggests that the trick, in both cases, may be radio-frequency identification. Powered by an Arduino Yun processor, one component of the ADDSMART device controls a high-frequency 13.56-MHz RFID reader, USB camera, passive-infrared motion sensor, solenoid lock, and an onboard Wi-Fi module.
If you've been scratching your head at the FAA's extensive efforts to regulate your personal (or company) drone use, consider the chaos when they start filling the skies. That's why the agency partnered with NASA for a series of nationwide tests to explore potential systems that could track and manage a wide range of drones simultaneously. Google parent company Alphabet's Project Wing tried out its own UAV air traffic control platform yesterday, a system that might one day guide a massive volume of airborne drones to keep them from crashing into buildings, people or each other. Unsurprisingly, Project Wing's UTM (UAS Air Traffic Management) leans heavily on other Google products like Maps, Earth and Street View to navigate drones around obstacles and plan routes. During yesterday's tests, UTM managed flight paths for multiple UAVs simultaneously, according to the group's blog post.
If you've been out on the streets of Silicon Valley or New York City in the past nine months, there's a good chance that your bad driving habits have already been profiled by Nexar. This U.S.-Israeli startup is aiming to build what it calls "an air traffic control system" for driving, and has just raised an extra 10.5 million in venture capital financing. Since Nexar launched its dashcam app last year, smartphones running it have captured, analyzed, and recorded over 5 million miles of driving in San Francisco, New York, and Tel Aviv. The company's algorithms have now automatically profiled the driving behavior of over 7 million cars, including more than 45 percent of all registered vehicles in the Bay Area, and over 30 percent of those in Manhattan. Using the smartphone's camera, machine vision, and AI algorithms, Nexar recognizes the license plates of the vehicles around it, and tracks their location, velocity, and trajectory.
Data influences every aspect of your life. If not completely already, the technological landscape will be completely data-centric in the near future. The device you are reading this article on probably collects your data to optimize your user experience. Or, you may have been recommended this article based on your reading habits. Even, the self-driving car you use may take data collected from other cars on the road to keep you safe.