This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation

Implementation of various methods of single / multi object tracking 🐾🛰

face-tracking, sort-tracking with python

Automatic Number Plate Recognition (ANPR) system using YOLOv8 for detection, SORT for real-time tracking, and EasyOCR for text extraction from video streams.

Smart parking management system for the city of Nizhny Novgorod - YOLO car detection, multi-object tracking, and license-plate barrier on a 6-camera setup.

Sistema de Reconhecimento Automático de Placas (ALPR/LPR) em tempo real utilizando YOLOv11, SORT Tracker e EasyOCR. Pipeline otimizado com técnicas de Processamento Digital de Imagens (PID) e correção heurística.

Real-time vehicle detection and counting system using YOLO object detection and SORT tracking algorithm. Processes traffic videos to detect, track, and count vehicles moving in different directions with visual overlays and export capabilities.