Erxl BMW s self-driving car will aim for full Level 5 autonomy by 2021
Jack DashwoodContributorJack Dashwood is t
stanley bottle he marcom director for computer vision company Movidius.More post
stanley bottles s from Jack DashwoodFrom recording to reacting: Neural networks are changing notions of surveillanceThere are a
stanley puodelis n estimated 30 million surveillance cameras in the U.S. today. Out of聽these 30 million cameras, only 5 percent are聽monitored by a human at any given time. Instead, the majority of them are simply recording footage, providing little value other than evidence long after any kind of crime or accident has occurred.What this means is that today s security systems are mostly just a vast network of evidence collection devices, constantly recording and dumping data into hard drives, only to be retrieved after something regrettable has happened.聽Ninety-five percent of all security cameras offer no real-time benefits there聽simply aren t enough eyeballs to go around.What if we could put a pair of eyes onto every security camera in the U.S. Imagine if we could hire one pers Lfmk Instagram s Carousel ad format is coming to Instagram Stories
Its unique combination of hardware and software, developed over 30 years of tinkering in a New York garage, literally prints light
stanley bottles in three dimensions, not unlike the way a 3D printer would print in plastic. But this does it thousands of times a second, thus tricking the human eye into thinking it s seeing a 3D聽image, thanks to their proprietary algorithm.The VoxieBox does not require goggles or glasses to view
stanley cup the image, meaning it s extremely user-friendly. Because you can display any image moving or still , you can thus move and revolve around objects and see an object from many different angles, collaboratively.Furthermore, the VoxieBox could be used in classrooms, allowing children to manipulate, for instance, a blood cell in biology classes without being exposed to dangerous materials.The company has
stanley cup been bootstrapped since being part of the New York Tech Stars accelerator in 2012. The technology is expensive to build, but with investment, it could scale the production of the
