I conducted research at the University of Maryland’s mechanical engineering department under the guidance of Dr. Don L. DeVoe. I developed a portable system with a Raspberry Pi to be able to actuate control of nanoliter droplets in a microfluidic trap array. The trap array uses properties of oil and aqueous solutions to create and manipulate droplets capable of holding individual molecules, bacteria, chromosomes, etc. Applications to the device are endless, but can only be possible with a portable and atomic system. The system I developed used processed live feed from a microscope camera using OpenCV to detect droplets by their color and track them until the appropriate time to actuate traps. Research was conducted on the effects of varying distance before actuation, flow rate adjustments, and volume of the droplets. Results have shown at different distances, droplets get sheared while exiting the trap. This is interesting because if this can be done consistently, it is possible to separate particles from a solution by shearing them off a droplet.