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Isn’t a baby monitor effectively a waste of technology? With a bit more thought and an operating system, couldn’t it do much more with its components than just scope your infant? That’s the premise behind Y Combinator-backed ixi-play, an Android-powered robot that just launched on the Crowdhoster crowdfunding platform. On top of Android 4.2, a dual-core ARM Cortex A9 CPU, 1GB RAM and a 720p camera, the owlish ‘bot has face, card and object detection, voice recognition, a touch-sensor on the head, eye displays for animations, a tweeter/woofer speaker combo and child-proof “high robustness.” For motion, the team adopted a design used in flight simulators, giving ixi-play “agile and silent” 3-axis translation and rotation moves.

All that tech is in the service of one thing, of course: your precious snowflake. There are currently three apps for ixi-play: a baby monitor, language learning and animal-themed emotion cards. As the video shows (after the break), the latter app lets your toddler flash cards to the bot to make it move or emote via the eye displays, matching the anger or happiness shown on the card. In baby monitor mode, on top of sending a live (encoded) video stream to your tablet, it’ll also play soothing music and sing or talk your toddler to sleep. The device will also include an SDK that includes low-level motion control and vision programming, providing a way for developers to create more apps. As for pricing, you can snap one up starting at $299 for delivery around July 24th, 2014, provided the company meets its $957,000 funding goal (pledges are backed by Crowdtilt). That’s exactly the same price we saw recently for far less amusing-sounding baby monitor, so if you’re interested, hit the source.

Filed under: Robots

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Source: Ixi-Play

Most software has to be designed around a presumed viewing distance, whether it’s up close for a smartphone or the 10-foot interface of a home theater hub. Apple has been imagining a day when the exact distance could be irrelevant: it’s applying for a patent that would automatically resize any content based on viewing distance. By using a camera, infrared or other sensors to detect face proximity through facial recognition or pure range, the technique could dynamically resize a map or website to keep it legible at varying ranges. Although the trick could work with most any device, the company sees that flexibility as most relevant for a tablet, and it’s easy to understand why — iPad owners could read on the couch without needing to manually zoom in as they settle into a more relaxed position. There’s no knowing the likelihood that Apple will implement an automatic scaling feature in iOS or OS X, let alone make it the default setting. If the Cupertino team ever goes that far, though, we’ll only have our own eyesight to blame if we can’t read what’s on screen.

Filed under: Cellphones, Laptops, Tablets, Mobile, Apple

Apple applies for patent that scales content to match face distance, save us from squinting originally appeared on Engadget on Thu, 15 Nov 2012 11:14:00 EDT. Please see our terms for use of feeds.

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Many photographers will tell you that their least favorite shooting situation involves a portrait with the sun to the subject’s back: there’s a good chance the shot ends up an unintentional silhouette study unless the shooter meters just perfectly from that grinning face. Apple has just been granted a patent for the metering technique that takes all the guesswork out of those human-focused shots on an iOS 5 device like the iPhone 4S or new iPad. As it’s designed, the invention finds faces in the scene and adjusts the camera exposure to keep them all well-lit, even if they’re fidgety enough to move at the last second. Group shots are just as much of a breeze, with the software using head proximity and other factors to pick either a main face as the metering target (such as a person standing in front of a crowd) or an average if there’s enough people posing for a close-up. You can explore the full details at the source. Camera-toting rivals, however, will have to explore alternative ideas.

Filed under: Cellphones, Digital Cameras

Apple patents iOS 5’s exposure metering based on face detection, keeps friends in full view originally appeared on Engadget on Tue, 31 Jul 2012 19:34:00 EDT. Please see our terms for use of feeds.

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Face detection is a common sight in still photography, but it’s a rarity in video outside of certain research projects. Google may be keen to take some of the mystery out of those clips through a just-published patent application: its technique uses video frames to generate clusters of face representations that are attached to a given person. By knowing what a subject looks like from various angles, Google could then attach a name to a face whenever it shows up in a clip, even at different angles and in strange lighting conditions. The most obvious purpose would be to give YouTube viewers a Flickr-like option to tag people in videos, but it could also be used to spot people in augmented reality apps and get their details — imagine never being at a loss for information about a new friend as long as you’re wearing Project Glass. As a patent, it’s not a definitive roadmap for where Google is going with any of its properties, but it could be a clue as to the search giant’s thinking. Don’t be surprised if YouTube can eventually prove that a Google+ friend really did streak across the stage at a concert.

Google patent filing would identify faces in videos, spot the You in YouTube originally appeared on Engadget on Tue, 03 Jul 2012 15:11:00 EDT. Please see our terms for use of feeds.

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