YOLOv10 Logistics Counting System: Real-Time Object Counting with Flask Web Interface

#Pyresearch #ComputerVision #OpenCV

In this project, we demonstrate how to build a Real-Time Logistics Counting System using YOLOv10 and a Flask Web Interface. This system allows you to train a custom YOLOv10 model and perform live inference via a webcam feed, making it ideal for logistics tracking and automation. The system is lightweight, efficient, and designed for real-world applications.

Key Features:

Custom YOLOv10 Model Training: Train your own model on logistics-related objects.
Real-Time Counting: Live object detection and counting with high accuracy.
Flask Integration: A web-based interface for easy deployment and monitoring.

Resources:

GitHub Repository: https://github.com/pyresearch/Logisti...


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Blog: https://pyresearch.org/real-time-logi...

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