STEM Seminar 3/24 Abstract

STEM Team 9: What is Hough Circle Transform and How does it Work?

We will be talking about the OpenCV function, "HoughCircles" and how it pertains to our project. We will inform our classmates on the essential function of HoughCircles and how the algorithm works to provide computer vision applications with circle detection. Additionally, we will briefly talk about our experience with HoughCircles and the difficulties we have encountered so far. We will briefly show how we have included the algorithm in our code. Our focus will mainly be placed on how the function will help us in developing our application in addition to explaining the algorithm to those unfamiliar to it. A draft of our first slide is shown below. 

STEM Team 2: Drone Defense System: Vision System

Team 2 is focused on the creation of a drone defense system. The task is to spot an unidentified drone, track its movements, and then take it down with an autonomous system. With the increased use of drones now and in the future, it is imperative to make such systems to protect property from irresponsible drone use. The drone defense system was divided into the vision system, which is concentrated on the tracking and drone detection, and the interception system, which is concentrated on the drone incapacitation. As the project evolved, however, the focus shifted towards only the vision system and the goal became to successfully and efficiently detect and track the drone. The main aspect of the detection system that was to differentiate me from previous systems was my use of the compound eye and machine learning. The compound eye, such as the eye of a flying insect, is comprised of many facets that are each able to capture a different image. The compound eye does not need to move like single aperture eyes such as those of humans because each of the facets are angled so all the captured images form a single spherical image. To capture images of the drone, my detection system’s camera will be simulating these capturing methods of a compound eye. Machine learning pertains to an artificial intelligence that is able learn on its own without the need for programming. Specifically, I am using a multilayer perceptron that organizes and maps input data to appropriate outputs. The multilayer perceptron will be used with the regression method, enabling me to predict the drone’s location in three-dimensional space based on a pre-recorded data set of the drone’s position. Ultimately, with these implementations, I hope to create an innovative system that contributes to the overall STEM field of object detection. 

STEM Team 7: Hand-to-Hand Communication

The purpose of our project, Hand-to-Hand Communication, is to use EMG signals within our arms to mimic movements on another individual/robotic arm. Today, we will demonstrate how we take raw data and process it. We find the highest values, the peaks for each muscle movement, using a code, and then graph those values. This process is repeated with other muscles, in the attempt of finding a pattern