Canvas fingerprinting is a browser-based technique used to identify users by generating unique identifiers based on how their devices render images through the HTML5 canvas element. Unlike cookies, which are stored on a user's device and can be easily blocked or deleted, canvas fingerprinting relies on the subtle differences in how graphics are rendered, influenced by factors like graphics cards, operating systems, and browser versions. This makes it a persistent and reliable method for user identification, even when users are in incognito mode or have disabled cookies. Canvas fingerprinting is particularly useful for security purposes, such as detecting fraudulent activity or personalizing user experiences, and is employed in environments where traditional identification methods are insufficient. While implementing this technique requires expertise, platforms like Fingerprint offer API-based solutions to streamline visitor identification and enhance web security.