Yes, this reminded me of the Lytro camera as well. The Lytro camera allows setting of the range of focus with the picture data, through software, after the picture is taken. This concept allows reconstruction of laser topology reflected back into the scene. Also reminds me of the laser-based window listening devices, what will they think of next?
bob from maine, the article gives links to two videos worth watching, one short and one more detailed, on how this technology works. Military surveillance and security are definitely some apps this could be used in, and probably lots more we haven't thought of yet that this will make possible.
New technology solves old problem with better resolution! Seeing beyond the electromagnetic horizon. Reminds me of over the horizon Radar popular during the Cold War era. Different wavelengths of electromagnetic spectrum but somewhat similar idea. Reflect off of the ionisphere and listen for back scatter to provide a target echo.
Do I understand correctly? The laser emits a light beam which scatters, then the camera 'averages' the returned photons to memorize what is there. When something new is added, the returning photons take a different time of flight and thus the shape and position of the 'new' thing is derived and displayed. Depending on the acquisition speed of the camera/computer, this would have a great usefullness in any number of internal/external building security, military field surveylance, etc.. A really neat concept.
Laser scanning is used everywhere to define the real-world and convert it to 3D point cloud data that can be used in plant design, architectural remodeling, accident reconstruction, crime scene reconstruction, etc.
The way the technology works today, you have to set up the tripod in a few different places with targets that can be matched by the software to get a complete picture of the area. It works pretty good, but consider one setup, one scan and you're done. Amazing.
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.