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eOnline reports: A new app will allow total strangers to ID you and pull up all your information, just by looking at you and scanning your face with their Google Glass. The app is called NameTag and it sounds CREEPY. The “real-time facial recognition” software “can detect a face using the Google Glass camera, send it wirelessly to a server, compare it to millions of records, and in seconds return a match complete with a name, additional photos and social media profiles.” The information listed could include your name, occupation, any social media profiles you have set up and whether or not you have a criminal record (“CRIMINAL HISTORY FOUND” pops up in bright red letters according to the demo).

Since the NSA is tapping into all of our digital communications, it is not unreasonable to assume that all of the info from your digital glasses – yup, everything – may be recorded by the spy agency. Are we going to have millions of mini NSAs walking around recording everything … glassholes? It doesn’t help inspire confidence that America’s largest police force and Taser are beta-testing Google Glasses. Postscript: I love gadgets and tech, and previously discussed the exciting possibilities of Google Glasses. But the NSA is ruining the fun, just like it’s harming U.S. Internet business.

The prototype version Google showed off on Wednesday looked like a very polished and well-designed pair of wrap-around glasses with a clear display that sits above the eye. The glasses can stream information to the lenses and allow the wearer to send and receive messages through voice commands. There is also a built-in camera to record video and take pictures.

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons