The process of determining computationally if two or more objects intersect, the time, and the parts of the objects involved in the intersection is known as Collision Detection.
3D Theory for Collision Detection. To ensure that any space area cannot be occupied by more than one object, we need collision detection depending on the geometry arrays of the objects. The number of tests that must be made and, thus, the CPU resources used is the big issue with collision detection, and this consists of wrapping game entities in a non-rotated, thus axis-aligned box and checking the positions of these boxes in the three-dimensional coordinate space to see if they are overlapping or not. The axis-aligned constraint is there because of performance reasons, and 3D object recognition has several advantages over 2D detection methods, as more accurate information about the environment is obtained for better detection and will see the example, the depth of the images is not considered in the 2D detection, that reduces the detection accuracy. We can detect data collisions by sensing transmissions from the other stations.
Here is an example of how to create collision detection with 3D objects: