Built a Computer Vision object detection and tracking model

I built an object detection simulation algorithm that tracks the locomotive tripod gate movement of Ants in real time using YOLO V5 with Python.

The project involved building a simulation prediction model using a deep neural network that mimics and learns the locomotive walking pattern of Ants and then make accurate predictions of each Ant’s movements in real-time as they head towards their colony or anthills. The algorithm can be applicable in solving logistical problems in terms of calculating the actual distance covered based on X and Y coordinates and then finding alternative shorter distances to complete a trip.