This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
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Updated
Jul 25, 2022 - Python
This project imlements the following tasks in the project: 1. Vehicle counting, 2. Lane detection. 3.Lane change detection and 4.speed estimation
Vehicle Detection Using Deep Learning and YOLO Algorithm
Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
This project utilizes PyQt5, YOLOv8, and TensorFlow for vehicle detection and identification, including speed monitoring and fine issuance. It features a user-friendly interface and contributes to traffic discipline through automated enforcement.
实时车辆行人交通流计数Real-time Vehicle and Pedestrian Counting (CenterNet)
Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.
A car-counting system using background subtraction on a video feed. It makes use of OpenCV API.
This app detects types of cars and counts cars using YOLOv3
Here is a source code for car counting using YOLOv8n model. It is a basic example of computer vision and object detection task.
Detecting and counting cars on the video
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