Computer vision algorithms have transformed the way I approach art and real-world problem solving. These algorithms track people’s activities in real-time, providing reports on identities, locations, gestures, and more. As a novice programmer, I have found it easy to implement user-friendly vision techniques quickly, while artists and designers can access advanced toolkits through popular authoring systems like Max/MSP/Jitter etc.
Software authoring tools have become more user-friendly, enabling art and design students, as well as novice programmers, to create interactive experiences for the web, installations, performances, kiosks, and prototypes. The integration of live video cameras as inputs has fueled the demand for straightforward computer vision capabilities.
Implementing machine vision techniques directly using environments like Processing, with its graphical capabilities, has proven rewarding. Computer vision has revolutionized art by enabling interactive and immersive experiences. In real-world problem solving, it has transformed fields like surveillance, robotics, and healthcare. Its ability to analyze visual data opens up new possibilities for understanding and addressing complex challenges and the reading has left me feeling more clear with what could be achieved with such stuff.