A real-time computer vision system that monitors objects using YOLOv8 and automatically detects when registered objects go missing from the surveillance area. Built with Python, OpenCV, and a modern ...

TonyPi AI humanoid robot brings Raspberry Pi 5 vision, voice control, and multimodal model integration to an 18-DOF education ...

Tracking comets accurately is hard. A new effort with the U.N. and NASA aims to better chart these visitors using 3I/ATLAS. When you purchase through links on our site, we may earn an affiliate ...

Objective: This study aimed to examine whether high-level basketball players exhibit superior multi-object tracking abilities compared to low-level basketball players using the three-dimensional multi ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

In this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision library. We begin by setting up real-time object tracking using ByteTracker, adding ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

Astrophotography, and astronomy in general, takes some fairly specialized tools and a high amount of precision. Setting up the equipment can also take a lot of time, especially for amateurs traveling ...

Abstract: Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as ...

$ conda create -n fish-opencv-yolo-python python=3.6 pip $ conda activate fish-opencv-yolo-python $ pip install -r requirements.txt $ python yolo.py --image ./images/DSC_0061.JPG --yolo yolo-fish ...