Is AI-based tracking of missing persons possible? How does it work?

Finding a missing person has always been an intricate mission which demands a great deal of time, manual workflow, and resource allocation. AI-based tracking systems use innovative technologies such as facial recognition, machine learning, and computer vision for identifying and locating missing persons. The following section will explain how AI tracking works: The first step for AI systems is to collect all available data, including name, age, physical description, last time location, and relevant details that may aid in locating the missing person. FACIAL RECOGNITION Deep learning algorithms: Algorithms designed for AI systems like deep learning algorithms include GLCM feature extraction, Convolutional Neural Network, and Multi-Tasking Convolutional Neural Network. GEOLOCATION ANALYSIS AI systems are able to combine geolocation data extracted from satellite communications with other data from mobile operators to analyse the movements of a missing person and forecast where they will be located.