videóanalízis

Videóanalízis, often translated as video analysis, is the process of extracting meaningful information from digital video footage. This involves a range of techniques and technologies to understand the content of a video, identify objects or events, and derive insights. The primary goal of videóanalízis is to automate the interpretation of visual data, which can be time-consuming and labor-intensive when done manually.

Common applications of videóanalízis include security surveillance, where it can detect unauthorized access, track individuals, or monitor crowd behavior. In sports, it's used for performance analysis, player tracking, and strategy development. Retail sectors utilize it for customer behavior analysis, inventory management, and understanding shopping patterns. Other areas include traffic monitoring, medical imaging, and entertainment.

The process typically involves several stages. First, video data is captured and preprocessed to enhance clarity or reduce noise. Then, algorithms are employed to detect and track objects, recognize patterns, or classify scenes. This can involve computer vision techniques, machine learning, and artificial intelligence. The output of videóanalízis can range from simple alerts and statistics to detailed reports and visualizations, enabling better decision-making and automation of tasks that rely on visual information.