Vehicle Detection and Counting with YOLO
Smart Cities: How to Count Cars Using Computer Vision
00:00 Introduction
01:42 Video and Repository Used
03:27 Developed Draft
11:39 Final Code
13:45 Folder with Debug Images
16:53 Conclusion
🏙️ Vehicle counting systems using computer vision play a fundamental role in building smart cities, enabling automated real-time traffic monitoring. These solutions are essential for optimizing traffic flow, reducing congestion, supporting urban engineering decisions, and increasing road safety. By replacing manual processes with detection and tracking algorithms, it is possible to obtain accurate and large-scale data, enabling more efficient and sustainable public policies.
🚗 This video presents a practical project for detecting and counting vehicles using computer vision and artificial intelligence models, applied to a real camera located on a highway in the United States. This is an example of an application that fits directly into solutions geared towards smart cities, focusing on traffic monitoring and urban mobility analysis.
🎥 The system identifies moving cars, with the possibility of running in real time (requiring some optimizations), detecting when a vehicle crosses virtual reference lines to count them according to the direction in which it is traveling. For this, a model from the YOLO (You Only Look Once) family is used, known for its efficiency in object detection tasks in videos.
📚 To better understand how such a system works, the main steps to build a functional MVP (Minimum Viable Product) are presented. Even as a prototype, the system achieves a low error rate, demonstrating the effectiveness of the approach even without customized training for the scenario. Finally, a repository with all the developed code is made available, including intermediate versions that help to understand the process of building and iterating the solution.
🌐 References:
▶ Repository with Notebook used (v0.1.0) - https://github.com/ProgramadorArtific...
▶ LIVE: Morning Traffic Camera (video used) - • LIVE: Morning Traffic Camera
▶ yt-dlp (to download YouTube videos) - https://github.com/yt-dlp/yt-dlp
▶ PyTorch Tabular - https://pytorch-tabular.readthedocs.i...
#VehicleCounting #ProgramadorArtificial