Rhapsody Launches SongMatch Android Music Identification App

Recently I picked up a shiny new iPhone 5 and handed down my old Android smartphone to my daughter. She’s too young to really need a smartphone, but it’s nice to be able to know where she is in the neighborhood anytime. She uses it to listen to music all the time. She’s a big music fan and seems to be constantly asking me the name of a song and expects me to know it simply by her humming a few notes or telling me a few keywords from the lyrics.

rhapsody songmatch

I’m totally going to load her phone up with the new Rhapsody SongMatch app. The app is able to listen to music playing anywhere and identify the name of the artist, album, and song for you. You can save identified songs as playlists and share the song data with other people.

This isn’t the only app available that can identify music for you – SoundHound and Shazam have been around for quite a while – but Rhapsody’s free app is totally free of annoying ads (other than promoting the Rhapsody brand, of course.) While you don’t need a subscription to Rhapsody to use the app, if you do have a subscription you get extra benefits. You can listen to the track on Rhapsody if it’s available, view the rest of the artist’s catalog, and discover similar artists.

Rhapsody SongMatch is available on the Google Play store right now for download.

NEC outs cloud computing facial recognition service for merchants

NEC outs $880 facial recognition system, lets merchants track clients with only a PC and video camera

NEC has launched a $880 per month service in Japan that lets merchants profile customers using just a PC and video camera. The system uses facial recognition powered by the company’s cloud computing service to estimate the gender and age of clients, along with the frequency of their shopping expeditions across multiple locations. The firm developed the “NeoFace” tracking software in-house, claiming it was the highest ranked facial recognition system in NIST and that it plans to use it for other services like “intruder surveillance” in the future. NEC added that face data is encrypted so it can’t be “inadvertently disclosed,” and is strictly to help retailers fine-tune their marketing strategies. After watching the system pick off face after face in the video after the break, we just hope it doesn’t go rogue.

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NEC outs cloud computing facial recognition service for merchants originally appeared on Engadget on Mon, 12 Nov 2012 12:34:00 EDT. Please see our terms for use of feeds.

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FBI to roll out $1 billion public facial recognition system in 2014, will be on to your evildoing everywhere

FBI to roll out $1 billion public facial recognition system in 2014, will be on to your evildoing

They’re watching you — or at least will be in a couple of years. That’s when the FBI is gearing up for a nationwide launch of a $1 billion project designed to identify people of interest, according to the New Scientist. Dubbed the Next Generation Identification (NGI) program, the high-tech endeavor uses biometric data such as DNA analysis, iris scans and voice identification to track down folks with a criminal history. The FBI also plans to take NGI on the road literally by using public cameras to pick faces from the crowd and cross check them with its national repository of images. Let’s just say this facial technology isn’t going to be used for lighthearted Japanese vocaloid hijinks or unlocking your electronic device. The use and scope of NGI, which kicked off a pilot program in February, will likely be questioned not just by black helicopter watchers but privacy advocates as well. Facial recognition has certainly been a touchy issue in privacy circles — something Facebook learned firsthand in Germany. Meanwhile, the Electronic Frontier Foundation is already raising concerns about innocent civilians being mixed up or included in the database. Naturally, the FBI claims that the NGI program is in compliance with the U.S. Privacy Act. On the positive side, at least they didn’t name it the Genetic Lifeform and Disk Operating System.

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FBI to roll out $1 billion public facial recognition system in 2014, will be on to your evildoing everywhere originally appeared on Engadget on Sun, 09 Sep 2012 08:46:00 EDT. Please see our terms for use of feeds.

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Google lands patent for automatic object recognition in videos, leaves no stone untagged

Google lands patent for automatic object recognition in videos, leaves no stone untagged

Google has already been working on patents that could pick out faces and song melodies in our YouTube clips. Now, it might just have the ultimate tool: the technique in a just-granted patent could pick out objects in a video, whether they’re living or not. Instead of asking the creator to label objects every time, Google proposes using a database of “feature vectors” such as color, movement, shape and texture to automatically identify subjects in the frame through their common traits — a cat’s ears and fast movement would separate it from the ball of yarn it’s attacking, for example. Movie makers themselves could provide a lot of the underlying material just by naming and tagging enough of their clips, with the more accurate labels helping to separate the wheat from the chaff if an automated visual ranking system falls short. The one mystery is what Google plans to do with its newfound observational skills, if anything, although the most logical step would be to fill in YouTube keywords without any user intervention — a potential time-saver when we’re uploading that twelfth consecutive pet video.

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Google lands patent for automatic object recognition in videos, leaves no stone untagged originally appeared on Engadget on Tue, 28 Aug 2012 17:31:00 EDT. Please see our terms for use of feeds.

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Bakery goods POS visual recognition system on trial in Tokyo bakery

Brain Corporation has developed a system that can individually identify all kinds of baked goods on a tray, in just one second. A trial has started at a Tokyo bakery store.
This technology was co-developed with the University of Hyogo. This is the world’s first trial of such a system in actual work at a cash register.
“Part-time staff sometimes can’t remember the names of baked goods. But with this system, the names of the goods appear on screen, so staff can work at the cash …