Description: Intelligent surveillance refers to the use of advanced technologies, such as artificial intelligence (AI), to monitor and analyze activities in real-time. This practice relies on the Internet of Things (IoT), where connected devices collect data and send it to analysis systems. Edge inference allows processing this data close to the source, reducing latency and improving efficiency. Additionally, drones have become key tools in intelligent surveillance, providing aerial perspectives and the ability to cover large areas. The combination of these technologies enables more effective and accurate surveillance, facilitating informed decision-making and rapid response to critical situations. Intelligent surveillance is not limited to public safety but is also applied in sectors such as agriculture, resource management, and logistics, where constant monitoring can optimize processes and enhance operational efficiency.
History: Intelligent surveillance has evolved with the advancement of digital technology and AI since the late 20th century. In the 1990s, the introduction of network-connected security cameras marked the beginning of digital surveillance. With the rise of IoT in the 2000s, the ability to connect devices and collect real-time data expanded significantly. The incorporation of drones for surveillance began to gain popularity in the 2010s, allowing for broader and more efficient monitoring.
Uses: Intelligent surveillance is used in various applications, including public safety, traffic management, precision agriculture, and monitoring critical infrastructures. In the security realm, it enables the detection of suspicious activities and rapid incident response. In agriculture, it helps monitor crops and optimize resource use. In traffic management, it facilitates the analysis of vehicle flows to improve urban mobility.
Examples: An example of intelligent surveillance is the use of drones equipped with cameras and sensors to monitor large forested areas for fires. Another case is the implementation of security camera systems in cities that use AI to identify unusual behaviors and alert authorities. In agriculture, IoT sensors are used to monitor crop health, and drones are employed to apply pesticides precisely.
