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dc.contributor.author | Muhammad Zaryab Khan, 01-133162-109 | |
dc.contributor.author | Muhammad Ali Ilyas, 01-133162-150 | |
dc.date.accessioned | 2022-04-12T08:23:16Z | |
dc.date.available | 2022-04-12T08:23:16Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/12589 | |
dc.description | Supervised by Dr. Saleem Aslam | en_US |
dc.description.abstract | RF signals are typically the source of transmitting and receiving information between two or more users. we will show that RF signals can also sense around the environment in which It will be operated and with the collected data we can use it in various applications. We use such information/data from the RF signals to detect human presence behind the wall or in a closed room. Our Project introduces two main innovations. First, how we eliminate unwanted reflections so that the receiver can only focus on the wanted reflections (reflections from humans). Second, how we use these minute reflections and analyze the different patterns of RF beam to detect human’s position. We demonstrate our design by using UHF band at 433Mhz, RF source and test it in closed rooms. The main purpose of the project is to develop a prototype (hardware model) that can detect the presence of person behind the wall or any opaque object without any wearable sensor attached to the human. This project will be able to sense the human presence whenever the human move in the range of our RF signal. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bahria University Engineering School | en_US |
dc.relation.ispartofseries | BEE;P-1629 | |
dc.subject | Electrical Engineering | en_US |
dc.title | Cognitive Vision System | en_US |
dc.type | Project Reports | en_US |