detection algorithms

Detection algorithms are methods used by computers to identify specific patterns or objects within data, such as images, videos, or signals. They work by analyzing features like shapes, textures, or signals to recognize things like faces, spam, or anomalies. These algorithms learn from examples, improving their accuracy over time. They are essential for applications like security cameras, fraud detection, and medical imaging, helping automate and enhance decision-making processes by reliably spotting predefined patterns or irregularities in complex data sets.