Computer vision is revolutionizing finance and banking through automation and fraud prevention. It is used for document verification, facial recognition for secure authentication, and fraud detection by analyzing transaction patterns and identifying anomalies.
For example, optical character recognition (OCR) helps digitize checks and other documents, while facial recognition enables seamless KYC (Know Your Customer) processes. Surveillance systems use vision-based analytics to enhance security in ATMs and branches.
Computer vision also enhances customer experiences by enabling contactless transactions and automating customer support through AI-driven visual assistants. These applications drive efficiency and reduce operational costs.