[bstites82]

I haven't worked much with custom dashboards myself, but I would suggest playing with/reading carefully through the rectangular target tracking example. while it runs on the crio and not the dashboard it is an excellent learning tool. open the rectangular target tracking robot main vi. change the crio ip address and then click run while connected to the robot. then open the front panel of the vision vi and enable the original image and processed image displays. NI provides a huge amount of control with this example and the controls can be adjusted in real time to find the best parameters for your robot. once those are found you can change controls to constants. once you've gotten familiar with the example code you will find that you should know how to:
See the black and red image side by side with the non-processed image on the dashboard
Adjust the camera to look for light sensitivity within the cRIO project
your third goal requires you to mesh the example with your dashboard and figure out how to send data back and forth from the robot to the dashboard. there are several threads on data transmission using tcp or udp so that should give you an idea where to start. hopefully this helps.