There are 1 repository under parking-space topic.
papers and codes about parking slot detection
Parking Management System is used to manage and solve the Parking Problems of the company/Institute. This project is build on Java using NetBeans.
Decentralized Marketplace built on Hyperledger Fabric. This business network allows listing of spots, enforcing contracts, managing participants.
:camera: Parking Occupancies Detection with CCTV Cameras
Telegram bot for parking reservations
House price prediction using various regression methods.
An app to detect a empty parking spaces around the city using users location. Screenshots attached
Mobile application (in development) for Midwestern State University that enables students to locate available parking spaces around campus in real time. The project associated with determining which spaces are available can be found at https://github.com/rugbyprof/Parking-Lot-Occupancy-Tracking.
Office basement has a parking lot of 120 car parking space capacity out of which 20% is reserved for. Please automated the process, based on first come first serve basis.
Parking occupancy rates at The Ohio State University.
Smart Parking System to detect open parking space and sending the information via telegram. Built using matterport MRCNN to detect the car then compute it using IoU method to determine the open parking space.
Arduino code that controls the electronics of a small Parking Space.
Open-CV / Python project, using Open-CV to monitor the parking lot and count all available and occupied spaces in real time.
Computes the availability of parking spaces at home and at work in 2015 in Switzerland, by agglomeration size and by level of urbanisation, based on the data of the Transport and Mobility Microcensus
Historic changelog of Deutsche Bahn Open API data (stations, free parking lots and elevator status)
Customizing YOLO v4 to Detect Parking Spaces
An application that allows users to report when their vehicle is being blocked or when their vehicle is blocking other users in a parking lot.
🎓 Project where I use D3 & React.js for data visualization for de Volkskrant - Frontend Applications