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https://github.com/abdullah-alrefaey/indoor-localization
https://github.com/abdullah-alrefaey/indoor-localization
esp8266 localization meteorjs
Last synced: 7 days ago
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- Host: GitHub
- URL: https://github.com/abdullah-alrefaey/indoor-localization
- Owner: Abdullah-Alrefaey
- Created: 2021-10-22T22:51:37.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2021-10-22T22:53:33.000Z (about 3 years ago)
- Last Synced: 2024-10-10T11:23:44.414Z (28 days ago)
- Topics: esp8266, localization, meteorjs
- Language: Jupyter Notebook
- Homepage:
- Size: 2.2 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Person Tracking via Wireless
Submitted to: Dr. Tamer Basha
2020 - 2021
Group ID: 03
| Name | Section | B.N Number | E-mail |
|-------------------------|---------|--------------|-------------------------------|
| Ahmed Salah Eldin | 1 | 5 | [email protected] |
| Ahmad Abdelmageed Ahmad | 1 | 8 | [email protected] |
| Ahmad Mahdy Mohammed | 1 | 9 | [email protected] |
| Abdullah Mohammed Sabry | 2 | 7 | [email protected] |## Packages Installations
npm install --save firebase
## The Data
Localziation system built using machine learning classifiers, data is collected at Cairo University Faculty of Engineering Biomedical Engineering Department. The Data is a collection of WiFi\`s RSSI\`s (dbm) of Wifi Networks available in the department. RSSI measurements represent the relative quality of a received signal on a device. RSSI indicates the power level being received after any possible loss at the antenna and cable level. The higher the RSSI value, the stronger the signal. When measured in negative numbers, the number that is closer to zero usually means better signal. As an example -50 is a pretty good signal, -75 - is fairly reasonable, and -100 is no signal at all. Identifying a patient\`s location in a hospital is useful for many reasons one of which is to identify points of conjestions and try to rearrange the hospital survices, also used to identify how many patients are in the hospital.
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