Automated Queue Counting

Waiting in long line-ups on campus is commonplace for UBC students. Long queues at food vendors and bus stops create discontent and make it difficult for students to estimate how long a particular activity will take. To solve this problem, we decided to create a tool that can help users anticipate wait times and crowding. To achieve this, we tested different machine learning models on a video feed to output real-time queuing data to users through a user interface. This solution has numerous smart city applications in buildings, transportation, and traffic management and will positively impact the student experience at UBC Vancouver. You can read more about the idea and its benefits in our proposal below.