{"title":"带无线鼠标的智能投影仪","authors":"Dur-e-Jabeen, A. Haseeb, Aashir Ali, Hamza Saleem","doi":"10.1109/GCWOT49901.2020.9391606","DOIUrl":null,"url":null,"abstract":"This work is based on image processing using Raspberry pi 3 through Python programming that is interfaced with OpenCV tool and the processed image captured by camera. Haar cascade algorithm is available in OpenCV. It is used to process the image with Haar classifier that creates black spot on presenter face by considering distance and position to safe eyes by picking the coordinates as breadth, width, length and height. This black spot prevents the eyes from high intensity light beam of projector. The size of the black spots varies and continuously generated as presenter moves in front of projector. This does not affect the information displayed on projector screen. If two (or more) presenters are sharing the same projector, the eye protecting black spots are generated accordingly. Moreover wireless air mouse is incorporated in this project to detect the mouse movement using image processing. Cursor will move through laser device and click status will transmit to Raspberry pi via Bluetooth. Presenter can easily use the wireless mouse from the distance for presentation. It will be considered that this project prevent the eyes of presenter as well as reduce the size and power consumption from relatively available projectors attached with PC because of this project is embedded on Raspberry pi.","PeriodicalId":157662,"journal":{"name":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smart Projector with Wireless Mouse\",\"authors\":\"Dur-e-Jabeen, A. Haseeb, Aashir Ali, Hamza Saleem\",\"doi\":\"10.1109/GCWOT49901.2020.9391606\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work is based on image processing using Raspberry pi 3 through Python programming that is interfaced with OpenCV tool and the processed image captured by camera. Haar cascade algorithm is available in OpenCV. It is used to process the image with Haar classifier that creates black spot on presenter face by considering distance and position to safe eyes by picking the coordinates as breadth, width, length and height. This black spot prevents the eyes from high intensity light beam of projector. The size of the black spots varies and continuously generated as presenter moves in front of projector. This does not affect the information displayed on projector screen. If two (or more) presenters are sharing the same projector, the eye protecting black spots are generated accordingly. Moreover wireless air mouse is incorporated in this project to detect the mouse movement using image processing. Cursor will move through laser device and click status will transmit to Raspberry pi via Bluetooth. Presenter can easily use the wireless mouse from the distance for presentation. It will be considered that this project prevent the eyes of presenter as well as reduce the size and power consumption from relatively available projectors attached with PC because of this project is embedded on Raspberry pi.\",\"PeriodicalId\":157662,\"journal\":{\"name\":\"2020 Global Conference on Wireless and Optical Technologies (GCWOT)\",\"volume\":\"136 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Global Conference on Wireless and Optical Technologies (GCWOT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCWOT49901.2020.9391606\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Global Conference on Wireless and Optical Technologies (GCWOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWOT49901.2020.9391606","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work is based on image processing using Raspberry pi 3 through Python programming that is interfaced with OpenCV tool and the processed image captured by camera. Haar cascade algorithm is available in OpenCV. It is used to process the image with Haar classifier that creates black spot on presenter face by considering distance and position to safe eyes by picking the coordinates as breadth, width, length and height. This black spot prevents the eyes from high intensity light beam of projector. The size of the black spots varies and continuously generated as presenter moves in front of projector. This does not affect the information displayed on projector screen. If two (or more) presenters are sharing the same projector, the eye protecting black spots are generated accordingly. Moreover wireless air mouse is incorporated in this project to detect the mouse movement using image processing. Cursor will move through laser device and click status will transmit to Raspberry pi via Bluetooth. Presenter can easily use the wireless mouse from the distance for presentation. It will be considered that this project prevent the eyes of presenter as well as reduce the size and power consumption from relatively available projectors attached with PC because of this project is embedded on Raspberry pi.