Enhancing Border Security and Countering Terrorism Through Computer Vision: A Field of Artificial Intelligence

Border security had been a persistent problem in international border especially when it get to the issue of preventing illegal movement weapons, contraband, drugs, and combating or undocumented immigrant while at same time ensuring that lawful trade, economic prosperity coupled with national sovereignty across is maintained. In this research work, we used open source computer vision (Open CV) adaboost algorithm develop model which can detect moving object far off, classify it, automatically snap full image face individual separately, then run background check on them against worldwide databases making prediction about an being potential threat, intending immigrant, terrorists extremist raise sound alarm. Our be deployed any camera device mounted border. There are two stages involved, first developed based CV algorithm, ability human from afar, will both person second stage automatic triggering object. This ensures several able determine admissibility afar off. If inadmissible, alert officials other details, if bypass officials, system authority his images details. All these operations done off by AI powered before reach