Apps That Spot Fake IDs and Detect Emotional State

smartphone apps

With the ever-evolving technology, and new phone apps, consumers find themselves searching for ways to spot things that aren’t real and to figure out such things as is a person underage and handing over a fake ID. The other thing would be to determine the mood of a person. There are two apps that can help.

barZapp is an app that bouncers and bartenders can use to scan barcodes of licenses. This app was released in July to help stop underage drinking. It can get information from every U.S. state and any Canadian province. It’s currently available on iTunes for $1.99 (allowing you to scan 10 per day) or $19.95 a month (for unlimited scans).

Intellicheck Mobilisa, is the company that created the app. This is also the company behind the software that many of the stores with ID scanners use. The app offers many other bits of information, such as, “the owner’s date of birth, height, weight, and eye and hair color as well as the card’s expiration date,” and seeing the guest’s history at that particular location.

barZapp could also be useful for tobacco store owners because it will recognize fake licenses. This is helpful for any user of the app that needs an ID for verification. The app will soon be available for Android users.

“This low-cost solution cannot only help to deter underage drinking, but also help protect alcoholic beverage and tobacco product providers from costly fines and potential loss of license from serving underage patrons,” CEO Nelson Ludlow said in a press release.

The Xpression app is able to detect a person’s emotional state by listening and observing one’s speech. People will be able to tell what mood someone is in without having to ask.

“Matt Dobson and Duncan Barley, makers of the app and founders of the speech recognition company El Technologies, developed Xpression to monitor the acoustic quality of a person’s voice throughout the day and match the measured data to an emotional state. As of now, the Xpression app takes 200ms sound bites and sends them over to a server, which analyzes the data and sends back the results for storage.”

Forrest L. Rawls

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