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There are countless examples of how AI-powered surveillance systems are being used now. The most popular advantages and uses are listed below. Crime Detection: Surveillance cameras in public places help reduce crime. CCTV is most effective when combined with AI-based image processing applications like behavior monitoring and object detection. This helps deter and detect crime by supporting investigations with alerts linked to real-time footage and pinpointing evidence after the incident. Human Activity Monitoring: Behavior recognition AI models enable computers to actually recognize anomalies in human behavior recorded by surveillance cameras. When a CCTV camera detects suspicious human behavior, an alert can be sent to authorities to notify them if any action is required against that activity. Facial authentication in healthcare: Facial authentication is a technique to avoid patient misidentification during treatment. Additionally, putting AI-powered surveillance in hospitals enables fraud detection and authorized personnel verification. Biometric analysis: Biometrics are physical or behavioral human characteristics that can digitally identify a person and grant access to systems, devices, or data, for example, fingerprints, facial patterns, etc. Through Computer Vision, analyzing biometric markers like facial patterns and using dedicated sensors can reduce authentication time and increase accuracy. Crowd disaster prevention: Computer Vision-enabled smart surveillance systems can help preemptive detection of threats in high-risk events. It can also help security companies cover larger areas and crowds with fewer security guards and higher accuracy than manually sifting through footage. This can also reduce the costs of hiring and managing security staff. #hiring #data #ai #computervision #security #healthcare #biometrics #surveillance