Explain the goals of computer vision. Also explain the applications of computer vision: (i) Video Surveillance (ii) Biometric-based identification and face detection

The goals of computer vision are to enable computers to interpret and understand visual information from the world around them, similar to the human visual system. This includes tasks such as object recognition, scene understanding, motion analysis, and image reconstruction. The primary objectives are to extract meaningful information from images or video data, make accurate interpretations or predictions based on visual input, and enable intelligent decision-making in various applications.

Applications of computer vision include:

1. Video Surveillance: Computer vision systems analyze video streams from surveillance cameras to detect and track objects, identify suspicious activities, and alert security personnel to potential threats. It enhances security and public safety by providing real-time monitoring and automated threat detection in areas such as airports, banks, and public spaces.

2. Biometric-based Identification and Face Detection: Computer vision algorithms analyze facial features and patterns to recognize individuals for biometric-based identification, authentication, and access control. It is used in applications such as facial recognition systems for unlocking smartphones, biometric attendance systems in workplaces, and surveillance systems for identifying persons of interest in law enforcement.