Hello! Our project, Parking Analysis via Image Processing, leverages a convolutional neural network to scan still shots of parking lots and determine how many vehicles are present. The data is then pushed to our server to be used to model a forecast for future occupancy levels.

Live Example

Scale Model

Data Forecast


Project Overview

The project overview linked above contains information about the goals and initial motivations for the project, as well as some of the methodologies used.

Project Workflow

Above is a video that details the full workflow starting from image to predictions of our system.


Above is a link directed at our live website, where the most recent scan is displayed for users.


The Team

Our team is comprised of seniors from the CSUB CS department: Joshua Annis, Drake Floyd, Sean Fontes, and Miguel Navarrete