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- W3202285083 abstract "In the twenty-first century, IoT and machine learning made possible and affordable to track the belonging objects on our mobile screen. Due to daily busy schedules, we generally miss our important belongings at many such places where frequent visit is not possible. Tracking of our goods and belongings is an open challenge in real-time situations. Technologies are matured enough to make this possible in real-time. In this research work, we have integrated IoT, AIML and GPS together in a Web-based and mobile-based app to solve this real-time issue. A low energy consumption device has been developed in this work which makes it more durable and environment friendly. The user can see his/her object on Google Map in real-time which minimizes the probability of miss or stolen his/her item or object. Advanced technologies with open-source tools have been integrated in this system to make it a high-performing system. An Android-based mobile application will also developed to track and monitor the bag/vehicle on mobile screen.KeywordsInternet of Things (IoT)Object trackingGPSGPRSCloud computingSensors" @default.
- W3202285083 created "2021-10-11" @default.
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- W3202285083 date "2021-09-29" @default.
- W3202285083 modified "2023-09-26" @default.
- W3202285083 title "Real-Time Tracking System for Object Tracking Using Internet of Things (IoT)" @default.
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- W3202285083 doi "https://doi.org/10.1007/978-981-16-4284-5_43" @default.
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