on (May 20, 2025) in the presence of the head of departments and lecturer a symposium entitled (Computer Vision), was presented by (Asst. Lect. Dozdar Mahdi Ahmed) from the computer science department , Where it has been explained about, Computer vision, a dynamic field within artificial intelligence, empowers machines with the capacity to interpret and understand the visual world. By employing cameras, sensors, and sophisticated algorithms, it transforms raw pixel data into meaningful insights, mimicking human visual cognition. This abstract outlines the core principles of computer vision, encompassing image acquisition, processing, feature extraction, pattern recognition through machine learning, and ultimately, interpretation. It highlights the diverse capabilities enabled by this technology, including object detection, classification, scene understanding, and more. Furthermore, it underscores the pervasive impact of computer vision across a multitude of industries, ranging from autonomous vehicles and healthcare to manufacturing and security, demonstrating its pivotal role in driving innovation and automation in the modern era.. At the end of the Symposium a set of questions and answers were raised on this subject In conclusion, computer vision stands as a transformative technology that bridges the gap between the visual realm and computational understanding. Its ability to imbue machines with "sight" has unlocked a plethora of applications, revolutionizing processes and creating new possibilities across numerous sectors. From enhancing safety and efficiency in autonomous systems and industrial automation to providing crucial diagnostic tools in healthcare and enriching user experiences in augmented reality, computer vision's influence is undeniable and continues to expand. As algorithms become more sophisticated and data availability grows, the potential of computer vision to further impact our lives and industries remains immense, promising even more intelligent and visually aware systems in the future