ARTIFICIAL INTELLIGENCE IN PORT SECURITY: INNOVATION AND CHALLENGES

 Intelligent machines have revolutionized the logistics and security sectors 
by sifting through large amounts of real-time data for route optimization, inventory 
sequencing, and inspection. Technologies such as computer vision and convulsive neural 
networks are used for automatic and efficient monitoring in airports, ports, and logistics operations. However, barriers such as data availability, financial investments, 
cybersecurity, and the need for good quality data must be overcome. With investment in 
technology and the right type of regulation, these developments should be followed by 
innovations in security and logistics, as they will enable operational cost reductions and 
operational improvements. The study methods of this article include a literature review 
and a qualitative analysis, which allows understanding both numerical data and social 
and human aspects. In addition, the comparative method is used to evaluate different 
approaches, identifying similarities and differences in the studied topic. It is concluded 
that the application of artificial intelligence and computer vision in the logistics and 
security sectors represents an essential advance, capable of modernizing processes, 
increasing efficiency, and ensuring greater protection, as long as it is accompanied by 
strategic planning and responsible regulations.