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- W3205600188 abstract "AbstractIn recent years, a shortage of oxygen cylinders was observed in hospitals causing numerous deaths. Thus, a need for efficient monitoring of the quantity of the oxygen cylinders in a hospital storage facility becomes the need of the hour. To address this issue, we have come up with a solution of a surveillance system to keep track of the quantity of the oxygen cylinders. A surveillance system typically uses a camera to spy and observe a specific target. The process of monitoring can be done in both real time (live video-based) and in offline, where the surveillance can happen at a later time on a recorded video. This project employs the real time tracking of the oxygen cylinders in hospital store house using convolution neural network.KeywordsOxygen cylindersSurveillanceReal time trackingConvolution neural network" @default.
- W3205600188 created "2021-10-25" @default.
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- W3205600188 date "2021-10-12" @default.
- W3205600188 modified "2023-09-24" @default.
- W3205600188 title "Oxygen Cylinders Monitoring System in Hospital Warehouse Using CNN" @default.
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- W3205600188 doi "https://doi.org/10.1007/978-981-16-4625-6_22" @default.
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