Overview
A computer vision solution for TU Delft Science Center that detects available parking spots and guides drivers to optimal locations via mobile app.
Smart Parking System — Interactive Exhibition
This project explores how smart systems can make everyday life more efficient and interactive. The concept was to create a smart parking assistant that uses computer vision (OpenCV) and real-time camera footage to detect open parking spaces. Based on the location of a store or destination, the system recommends the closest available parking spot and guides users there using a navigation API and a small robot.
The idea was further developed into an interactive exhibition for TU Delft, designed to make the concept tangible and fun for visitors — especially children. We built a miniature white maquette of a city layout, where users could move around, change destinations, and see how the system responds in real time.
During development, I focused on:
- Implementing OpenCV image detection to identify free parking spaces from live footage.
- Connecting the vision system with a pathfinding API for navigation.
- Programming a robot car to move to the suggested parking spot.
- Designing the interactive physical setup to make the invisible data systems visible and understandable.
This project fits perfectly within the Integrated Smart Systems module: it demonstrates how connected data, sensors, and user interaction can work together to create a meaningful experience. The goal was to show how smart systems can anticipate human needs and make technology feel both intelligent and approachable.
Features
- Real-time space detection (OpenCV/Python)
- Optimal routing algorithm
- Interactive model with robot car
- User-friendly mobile interface
