In the present-day context, security has emerged as a matter of utmost significance, particularly for individuals and businesses striving to safeguard their assets and people. While conventional video surveillance systems have long been relied upon, they come with inherent limitations.
Facial recognition and biometrics. Facial recognition and biometric scanning systems also use computer vision technology to identify individuals for security purposes. The most common example of computer vision in facial recognition is for securing smartphones. More advanced uses of facial recognition and biometrics include in residential or business security systems that use unique physiological features of individuals to verify their identity. Deep learning algorithms can identify the unique patterns in a persons fingerprints and use it to control access to high-security areas such as high-confidentiality workplaces, such as nuclear powerplants, research labs, and bank vaults.