From Camera to Algorithm: OpenCV and AI Workshop for the Cybersecurity of the Future

Artificial vision and artificial intelligence (AI) are increasingly interconnected in cybersecurity. This work presents an overview of OpenCV-based visual computing as a core tool for intelligent security systems that analyze real-time visual data. It includes practical exercises on face, edge, motion, and color detection, forming the basis for advanced object recognition using YOLOv10. Real applications, such as document processing and camera-based anomaly detection, are implemented in a microservice architecture with OpenCV, and deep learning frameworks. Integrating computer vision and AI is shown to be essential for developing resilient and autonomous cybersecurity infrastructures.