Discipline: Technology and Engineering
Subcategory: Computer Engineering
Room: Exhibit Hall A
Malcolm Xavier Peterson - Benedict College
Aim of this research is two folds. First, using computer vision to infer celluloid shapes using contours, graphical plots, and mathematical equations to come up with an algorithm for what most engineers call Cell Morphology. Cells need help and guidance to detect what proteins are initiated inside the human body. Cell Morphology consists of monitoring cells using computer vision to detect anomalies inside the cells of our body. Shape is important when you must use it to detect an object of a specific size, length and width. A computer is used to analyze and send data for processing but not before an algorithm is used to determine what classification it is. Image processing is mainly important in, for example, the field of medical research. As far as imaging, this is based from the type of information used in the class of an object. The range of the image depends on the speed of detection, how many objects are detected, and the classification of the object as said before. Network Infrastructure also uses cell shape detection and image processing to detect ways to solve discrete mathematics and partial differential equations. Vehicles use this morphology, imaging, and classification to identify objects using LIDAR detection and sensory outputs. Biomimicry relates the autonomy of the vehicle when it is compared to a series of other autonomous vehicles operating under a single source or wireless signal. Like a flock of birds or the motion of geese, the kinematics of this involves distancing themselves, in inches, apart from each other. Conceptually, vehicle platooning can be applied when two or more automobiles with a wider following length, say in feet, can safely follow each other via V2V wireless communication and various programmed algorithms. Looking at this in a futuristic standpoint, these applications will benefit the safety of passengers being guided from destination to destination without fear of human endangerment, vehicular accidents, and costs of fuel emissions.
Funder Acknowledgement(s): HBCU-UP
Faculty Advisor: Gurcan Comert, Gurcan.Comert@benedict.edu
Role: I worked on Program Development and Coding Algorithims involving autonomous cars and robotics.