OCR is commonly used to digitize printed or handwritten text and make it searchable, editable, and analyzable by computers. It is widely employed in various applications, including document management systems, data entry automation, text-to-speech conversion, and video analytics.
In the context of video analytics, OCR is utilized to extract textual information from video frames, such as license plates, street signs, product labels, captions, or any visible text within the video. This extracted text can then be further analyzed, indexed, or used for various purposes, such as automatic number plate recognition (ANPR), content indexing, real-time surveillance, or generating metadata for video content. OCR technology has significantly improved in recent years, allowing accurate and reliable extraction of text from videos even in challenging conditions, such as varying lighting, angles, or text fonts.