Lens-Free Camera Focuses on Autonomous Cars, Future Applications

Lens-Free Camera Focuses on Autonomous Cars, Future Applications Lens-Free Camera Focuses on Autonomous Cars, Future Applications Lens-Free Camera Focuses on Autonomous Cars, Future ApplicationsThe camera is ubiquitous. There are billions of them in smartphones, hundreds of millions of them in surveillance cameras, and countless SLRs and point-and-shoots. And they all have one thing in common a lens.If you look at camera, all the lens does is rearrange light so it makes sense to a human being, says Rajesh Menon, a professor of computer engineering at the University of Utah. This information is already entering the aperture. What if we remove the lens?Without the lens, any aperture can be a camera, as long as there is a good algorithm to gesangsknstler the data. Menon has created such an algorithm. With a window, a sensor, and the algorithm, he has built an optics free camera. The technology may turn our windshields into cameras for tomorrows automated cars.For You The Moral Beauty of a Disobedient RobotThe lensless camera springs from work Menon did several years ago converting a surgical needle to a microscope for looking into mice brains.Of course, its not a microscope, its a light pipe, Menon said. The information coming out is all jumbled up.Original LED rufs being photographed (left), and resulting images captured with lensless camera (right). Image University of UtahTo solve the problem, Menon and his colleagues created algorithms that unjumble the information and reconstruct the images.Menon used a similar method to create his lens-free camera. He covered the outside edges of a plate of glass with reflective tape except for one small spot. There he placed a cheap off-the-shelf camera sensor, the same kind used with smart phone cameras, pointing across the rest of the glass. The research paper appeared in the September 3 issue of Optic Express.The light that reaches the edge of the pane would binnenseem randomly scattered to us and appear as nothing but a blur. The right technology, however, can identify a recognizable image from those blurs. Menons algorithm, trained by comparing resolved images against the blur that reaches the sensor, learned how to identify the blurred image. To prove it, Menon set up an LED light board on one side of the plate of glass. When it displayed the U logo of the University of Utah, the lensless camera was able to recognize itand reconstruct it. It also unscrambled a moving image of a stick figure.For the applications Menon has in mind, the image wouldnt need to be reconstructed at all, only understood. The autonomous cars of the future need to make quick decisions, Menon said. Theres no need to have a human in the loop.The images currently being reconstituted by the algorithm include some distortions or artifacts. Menon isnt sure if they are caused by the glass, the sensor, or the algorithm. But he is sure he could increase the signal to noise ratio by installing multiple sensors around the panes edg e, rather than just one.I dont know if well get to a point where youll get the beautiful images you get with an iPhone, but I think we can get pretty close, he said.As it happens, the window itself is not strictly necessary. When Menon tried the experiment with the sensor and open air, the images were degraded but apparent.A lensless camera is suited for many applications. Every window of a car could sense its surroundings, while the windows of a house could become security cameras. The technology also has the potential to improve augmented reality glasses.But theres work to be done before then. Recognizing a simple bright image created by a few LCDs is one thing, reconstructing the complex world outside our windows is another. Menon is confident well get there. He has already made the first step in showing that the lens may soon be archaic in situations where a human neednt see an image.The most fundamental thing to me is that automatic cars are using technology designed for human brainstechnology that has been around for a hundred years, he said. Why not think about imaging from a non-anthropomorphic perspective. It gives you new design freedom.Michael Abrams is an independent writer.Read More Demand for Flying Taxis Lifts Electric Aircraft Market Raspberry Pis Eben Upton on Design and Innovation How Engineers Close Communication Gaps with Non-engineers For Further Discussion The autonomous cars of the future need to make quick decisions. Theres no need to have a human in the loop.Rajesh Menon, University of Utah