👉 Surveillance computing refers to the use of advanced computing technologies, including artificial intelligence, machine learning, and big data analytics, to process and analyze vast amounts of data collected from various surveillance sources such as cameras, sensors, and other IoT devices. This technology enables real-time monitoring, pattern recognition, and predictive analytics, enhancing the ability to detect anomalies, track individuals or objects, and respond to security threats more efficiently. By integrating these computational capabilities, surveillance systems can provide comprehensive situational awareness, improve public safety, and streamline law enforcement operations. However, it also raises significant concerns regarding privacy, data security, and ethical implications, necessitating careful regulation and oversight to balance security needs with individual rights.
