Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.
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Updated
Feb 11, 2019 - Python
Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.
Automated system to parking lot using computer vision (opencv, machine learning)
Telegram bot for parking reservations
Reproduce the Experiment for the Image-Based Parking Space Occupancy Classification: Dataset and Baseline Paper Using MLFlow
I used python programming language, and tkinter library for GUI and smtplib library for sending mail parking ticket to user in this PARKING LOT SYSTEM project.
parking lot simulator project
Detecting empty space for parking lot car using cnn model
The program detects license plate numbers, colour, entry time and exit time of the vehicle. The parking-lot management module keeps tracks of empty parking slots and details of all vehicles entering and leaving are stores in a csv file. Complete end-to-end parking system management is carrid out.
This project utilizes the custom object detection model to monitor parking spaces in a video feed. It identifies vehicles in the video and overlays polygons representing parking spaces on the frames. The program then calculates the number of occupied and free parking spaces based on the detected vehicles and the predefined parking space polygons.
Transport means detection using image detection by Yolo. It can count free parking places and transport means in the parking area
Repositório do Projeto Integrador V. Inteligência artificial para detectar e classificar carros em estacionamentos.
Famous Parking Lot problem Using Python and Django
A quick and dirty implementation of Parking Lot problem
This code represents a basic design of parking lot. It creates parking lot with given number of slots.
Object Detection: parking_lot
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
Free categorized space detection in parking lots with special attention to accessible spots (Course Project)
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