Lost & found mobile app for universities
An average person loses more than 3,000 possessions in their lifetime – these include daily items such as stationary and personal items. In Singapore, an average of 86 reports of items were made to Found and Unclaimed Property Office branch of the Singapore Police Force and it is still rising yearly...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148427 |
| _version_ | 1826126012916695040 |
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| author | Lee, Jun Ao |
| author2 | Owen Noel Newton Fernando |
| author_facet | Owen Noel Newton Fernando Lee, Jun Ao |
| author_sort | Lee, Jun Ao |
| collection | NTU |
| description | An average person loses more than 3,000 possessions in their lifetime – these include daily items such as stationary and personal items. In Singapore, an average of 86 reports of items were made to Found and Unclaimed Property Office branch of the Singapore Police Force and it is still rising yearly. Officers in Found and Unclaimed Property Office must sift through 40 items and only up to 60 per cent of the reports are resolved daily. It will be much efficient if there is some sort of community effort in assisting the police in identifying and sifting through myriads of information to identify the owners.
Crowdsourcing have been very popular in recent years due to the advances of internet technologies as information can be spread fast and widely across the world. It introduces platform such as Kickstarter, GoFundMe which utilized crowdsourcing as a mean to obtain funds.
Also due to the emerging and rapidly developed Internet infrastructure, data are more readily available in the public domain. Data can be collected from these public domains and analysed for more related information, such that it can help understand something more clearly. The process is also known as Open-source intelligence.
This project aimed to utilized Open-source intelligence to help process and analyse data collected from the public through crowdsourcing, in order to provide an avenue for people to make reports of item and to notify potential owner. |
| first_indexed | 2024-10-01T06:45:47Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148427 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:45:47Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1484272021-05-10T01:52:35Z Lost & found mobile app for universities Lee, Jun Ao Owen Noel Newton Fernando School of Computer Science and Engineering OFernando@ntu.edu.sg Engineering::Computer science and engineering::Software An average person loses more than 3,000 possessions in their lifetime – these include daily items such as stationary and personal items. In Singapore, an average of 86 reports of items were made to Found and Unclaimed Property Office branch of the Singapore Police Force and it is still rising yearly. Officers in Found and Unclaimed Property Office must sift through 40 items and only up to 60 per cent of the reports are resolved daily. It will be much efficient if there is some sort of community effort in assisting the police in identifying and sifting through myriads of information to identify the owners. Crowdsourcing have been very popular in recent years due to the advances of internet technologies as information can be spread fast and widely across the world. It introduces platform such as Kickstarter, GoFundMe which utilized crowdsourcing as a mean to obtain funds. Also due to the emerging and rapidly developed Internet infrastructure, data are more readily available in the public domain. Data can be collected from these public domains and analysed for more related information, such that it can help understand something more clearly. The process is also known as Open-source intelligence. This project aimed to utilized Open-source intelligence to help process and analyse data collected from the public through crowdsourcing, in order to provide an avenue for people to make reports of item and to notify potential owner. Bachelor of Engineering (Computer Science) 2021-05-10T01:47:05Z 2021-05-10T01:47:05Z 2021 Final Year Project (FYP) Lee, J. A. (2021). Lost & found mobile app for universities. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148427 https://hdl.handle.net/10356/148427 en SCSE20-0320 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Software Lee, Jun Ao Lost & found mobile app for universities |
| title | Lost & found mobile app for universities |
| title_full | Lost & found mobile app for universities |
| title_fullStr | Lost & found mobile app for universities |
| title_full_unstemmed | Lost & found mobile app for universities |
| title_short | Lost & found mobile app for universities |
| title_sort | lost found mobile app for universities |
| topic | Engineering::Computer science and engineering::Software |
| url | https://hdl.handle.net/10356/148427 |
| work_keys_str_mv | AT leejunao lostfoundmobileappforuniversities |