{"title":"具有生物特征面部识别能力的无人机在反恐作战中的应用","authors":"Krisztián Bálint","doi":"10.1109/SISY.2018.8524800","DOIUrl":null,"url":null,"abstract":"Terrorism represents an ever-growing danger these days. Regretfully, acts of terrorism have been recurring in an ever-growing number. Due to the rapid development of computer science in the 21st century, it is necessary to find a technical solution enabling the pretermission or prevention of the acts of terror. The unmanned aerial vehicles (UAVs) capable of biometric facial recognition may have a great contribution to the prevention of an eventual act of terror committed by suspicious persons, who jeopardize or end lives of innocent people. In large cities, or during mass happenings, timely identification of the suspicious persons represents a key question of national security. The aim of the present research is to find answers regarding the questions concerning the identification of drones to become efficient and operable. Such a question can be like what kind of battery should be installed on a drone, as this greatly influences flight time. Furthermore, it is important to consider the question of artificial intelligence, as an image taken by a drone is only relevant when it can be rapidly compared with the images of suspicious persons in the database on hand. The article digresses even to what kind of camera should be installed on the UAVs, respectively, the type of the most optimal communication between the user and the vehicle.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"871 1","pages":"000185-000190"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"UAVs with Biometric Facial Recognition Capabilities in the Combat Against Terrorism\",\"authors\":\"Krisztián Bálint\",\"doi\":\"10.1109/SISY.2018.8524800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Terrorism represents an ever-growing danger these days. Regretfully, acts of terrorism have been recurring in an ever-growing number. Due to the rapid development of computer science in the 21st century, it is necessary to find a technical solution enabling the pretermission or prevention of the acts of terror. The unmanned aerial vehicles (UAVs) capable of biometric facial recognition may have a great contribution to the prevention of an eventual act of terror committed by suspicious persons, who jeopardize or end lives of innocent people. In large cities, or during mass happenings, timely identification of the suspicious persons represents a key question of national security. The aim of the present research is to find answers regarding the questions concerning the identification of drones to become efficient and operable. Such a question can be like what kind of battery should be installed on a drone, as this greatly influences flight time. Furthermore, it is important to consider the question of artificial intelligence, as an image taken by a drone is only relevant when it can be rapidly compared with the images of suspicious persons in the database on hand. The article digresses even to what kind of camera should be installed on the UAVs, respectively, the type of the most optimal communication between the user and the vehicle.\",\"PeriodicalId\":6647,\"journal\":{\"name\":\"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)\",\"volume\":\"871 1\",\"pages\":\"000185-000190\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2018.8524800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2018.8524800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
UAVs with Biometric Facial Recognition Capabilities in the Combat Against Terrorism
Terrorism represents an ever-growing danger these days. Regretfully, acts of terrorism have been recurring in an ever-growing number. Due to the rapid development of computer science in the 21st century, it is necessary to find a technical solution enabling the pretermission or prevention of the acts of terror. The unmanned aerial vehicles (UAVs) capable of biometric facial recognition may have a great contribution to the prevention of an eventual act of terror committed by suspicious persons, who jeopardize or end lives of innocent people. In large cities, or during mass happenings, timely identification of the suspicious persons represents a key question of national security. The aim of the present research is to find answers regarding the questions concerning the identification of drones to become efficient and operable. Such a question can be like what kind of battery should be installed on a drone, as this greatly influences flight time. Furthermore, it is important to consider the question of artificial intelligence, as an image taken by a drone is only relevant when it can be rapidly compared with the images of suspicious persons in the database on hand. The article digresses even to what kind of camera should be installed on the UAVs, respectively, the type of the most optimal communication between the user and the vehicle.