Some traffic studies say if drivers reacted half a second earlier, approximately half of all accidents could be avoided. Mobileye N.V. is among the suppliers attempting to provide alerts that let drivers know there's a situation that could lead to an accident. Its vision-based advanced driver assistance systems can be used in lane-departure warning systems, which are sometimes called a virtual rumble strip, that warns drivers when they're drifting from their lane. STMicroelectronics is providing system-on-chip technologies that add processing capabilities to the vision sensor. The EyeQ2 vision technology can also be used for adaptive headlight control, traffic sign recognition, forward-collision warning and collision avoidance through radar/camera fusion, which can drastically reduce the number of accidents.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.