How can I measure an object using Computer Vision and neural network techniques? I am studying about Computer Vision around 2-3 months long. Recently, I have an idea to conduct a research about computer vision and Artificial neural networks. The idea is I want to make an automatic object measurement using ANN. The purpose is to measure the distance between two opposite sides of the objects. 

The main thing is this research is going to work as the fractional caliper tools works. Fractional caliper is a tool that use to measure the object. However, it will be time consuming to measure huge amounts of objects if there are a lot of small objects in the industry. Through this tool, I found an idea in how to make a system that can automatically give an accurate results similar as the fractional calipers.

For example, giving an image of the object and the system can define the depth, weight or high, etc., Thus, the idea has been explained above, please suggest me what kinds of Computer Vision model used to apply for this study? And how to combine it with ANN technique?
Father Ted explains why this is a hard problem.

Seriously -- if you have stereo images it should be possible, since that's what we use for depth perception. If you know how far away points x1 and x2 are, then you can measure distance using trigonometry. No neural networks needed, I guess. https://en.wikipedia.org/wiki/Triangulation_(computer_vision)