{"title":"Wadoro:用于监视的自主移动机器人","authors":"Shubham Mittal, J. K. Rai","doi":"10.1109/ICPEICES.2016.7853652","DOIUrl":null,"url":null,"abstract":"This paper presents Wadoro (WAtch DOg RObot); an autonomous mobile robot for household surveillance in open-spaces like roof at night; but only shaded areas such as verandah during daytime. The robot has the capability to detect humans in near real-time round-the-clock using passive infrared motion sensors and camera. The work cycle of the robot is divided into phases of human detection; tracking; recognition and alert-generation with simultaneous phase of self-protection. On detecting a human; it starts tracking to detect the face using Haar-like features based cascade classifier. Subsequent recognition is done using local binary pattern histograms approach to ascertain if the face matches with the face in database. In case of mismatch; an alert in the form of phone call to the mobile phone is generated. Self-protection ensures collision-free movements and prevent it from being stolen by generating an alert call on detecting its pick up from the ground. The experimental results demonstrate its successful operation.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Wadoro: An autonomous mobile robot for surveillance\",\"authors\":\"Shubham Mittal, J. K. Rai\",\"doi\":\"10.1109/ICPEICES.2016.7853652\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents Wadoro (WAtch DOg RObot); an autonomous mobile robot for household surveillance in open-spaces like roof at night; but only shaded areas such as verandah during daytime. The robot has the capability to detect humans in near real-time round-the-clock using passive infrared motion sensors and camera. The work cycle of the robot is divided into phases of human detection; tracking; recognition and alert-generation with simultaneous phase of self-protection. On detecting a human; it starts tracking to detect the face using Haar-like features based cascade classifier. Subsequent recognition is done using local binary pattern histograms approach to ascertain if the face matches with the face in database. In case of mismatch; an alert in the form of phone call to the mobile phone is generated. Self-protection ensures collision-free movements and prevent it from being stolen by generating an alert call on detecting its pick up from the ground. The experimental results demonstrate its successful operation.\",\"PeriodicalId\":305942,\"journal\":{\"name\":\"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEICES.2016.7853652\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEICES.2016.7853652","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wadoro: An autonomous mobile robot for surveillance
This paper presents Wadoro (WAtch DOg RObot); an autonomous mobile robot for household surveillance in open-spaces like roof at night; but only shaded areas such as verandah during daytime. The robot has the capability to detect humans in near real-time round-the-clock using passive infrared motion sensors and camera. The work cycle of the robot is divided into phases of human detection; tracking; recognition and alert-generation with simultaneous phase of self-protection. On detecting a human; it starts tracking to detect the face using Haar-like features based cascade classifier. Subsequent recognition is done using local binary pattern histograms approach to ascertain if the face matches with the face in database. In case of mismatch; an alert in the form of phone call to the mobile phone is generated. Self-protection ensures collision-free movements and prevent it from being stolen by generating an alert call on detecting its pick up from the ground. The experimental results demonstrate its successful operation.