How to make X-ray images inside the box by using augmented reality.
In the warehouses, the system can simply connect the X-ray image from the security X-ray scanner to augmented reality. If the system uses a 3D X-ray scanner the user must just read the QR code from the box. And then the computer downloads the 3D image to augmented reality glasses. Researchers can also install X-ray scanners in quadcopters. The system bases technology where the quadcopters are flying on opposite sides of the object. And then that system can make 3D X-ray scanner images from any object in nature.
The system is quite simple to create. The only needed thing is two, or a bigger number of quadcopters that have X-ray systems. In that system, the person who uses the augmented reality system just points the laser pointer to the box or some other target.
And then the quadcopters that are at an opposite positions to each other start to use their X-ray systems. That system can create an image of things inside the box for the systems like HoloLens.
The requirement is that. The X-ray system recognizes the merchandise that the pointer points to the opposite-flying quadcopters can make X-ray images also from entire buildings. In that kind of system, the operator can have two kinds of quadcopters. The X-ray systems are the outside the building. And the drones that enter the building.
Those drones can equip with IR and radio- or X-ray-based location systems. The X-ray led is acting as a pointer lamp that is visible through elements. The X-ray system sees where the drone that uses IR systems is. And then the central computer can connect the data that those drones are sending. That thing makes it possible to locate people inside the houses.
The drones can see the angle of the laser pointer, and then that data can use for aiming sniper rifles from outside. The hybrid systems that can connect data between multiple sensors allow operators to see through concrete elements. And that thing is the new advantage in the world of high tech.
https://www.media.mit.edu/projects/augmented-reality-with-x-ray-vision/overview/
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