Praveen Tumuluru, S. Raju, Dorababu Sudarsa, P. Rao, Sampoornamma Sudarsa, Lakshmi Burra
{"title":"Smart Camera for monkeys: A Novel IoT approach for detection and controlling the monkeys using YOLOv3","authors":"Praveen Tumuluru, S. Raju, Dorababu Sudarsa, P. Rao, Sampoornamma Sudarsa, Lakshmi Burra","doi":"10.1109/I-SMAC52330.2021.9641030","DOIUrl":null,"url":null,"abstract":"Nowadays, there are several instances in temples where the presence of additional monkeys irritates visitors. Not only that, but there are several times in which individuals in the villages will be harassed by money-related operations. Since tracking and splitting monkeys is a challenging task, the proposed system incorporates a camera with a built-in laser gun. When a monkey or a gathering of monkeys is discovered, the laser gun will accurately shoot the monkeys by making them unconscious for a specific amount of time. This idea will be implemented through the Internet of Things, which will identify specific entities and then notify a laser gun that is filled with unconscious injections to accurately fire such targets. The benefits of this technology include the ability to readily avoid noise and disturbance from such monkeys, as well as the ability to accurately implement computation intelligence (given by a machine learning algorithm). The modules utilized in this are a movement sensor for identifying the specially taught things in dynamic photos, a communication module that alerts to fire specific objects with accuracy, and a history module that sends the monkeys' personal information over time to the concerned center. The daily report will be delivered to the appropriate centre along with a video of monkeys being attacked with laser injections in order to render them unconscious. It could be extended in the future to detect many objects at once by using YOLOv3 or another advanced algorithm","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC52330.2021.9641030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Nowadays, there are several instances in temples where the presence of additional monkeys irritates visitors. Not only that, but there are several times in which individuals in the villages will be harassed by money-related operations. Since tracking and splitting monkeys is a challenging task, the proposed system incorporates a camera with a built-in laser gun. When a monkey or a gathering of monkeys is discovered, the laser gun will accurately shoot the monkeys by making them unconscious for a specific amount of time. This idea will be implemented through the Internet of Things, which will identify specific entities and then notify a laser gun that is filled with unconscious injections to accurately fire such targets. The benefits of this technology include the ability to readily avoid noise and disturbance from such monkeys, as well as the ability to accurately implement computation intelligence (given by a machine learning algorithm). The modules utilized in this are a movement sensor for identifying the specially taught things in dynamic photos, a communication module that alerts to fire specific objects with accuracy, and a history module that sends the monkeys' personal information over time to the concerned center. The daily report will be delivered to the appropriate centre along with a video of monkeys being attacked with laser injections in order to render them unconscious. It could be extended in the future to detect many objects at once by using YOLOv3 or another advanced algorithm