Type of site
|Collaborative cell spotting|
|Created by||Thomas Landspurg|
|Registration||Required for software developers|
|Launched||2 April 2008|
|Creative Commons Attribution-ShareAlike 4.0 International License|
More than 49,000 contributors are registered with OpenCellID, contributing more than 1 million new measurements every day in average to the OpenCellID database. As of August 21, 2017 the database contained 35.5 million unique cells and 2.1 billion unique measurements.
OpenCellID publishes an aggregate data set of cell locations licensed under a Creative Commons Attribution-ShareAlike 4.0 International License with the intention of promoting free use and redistribution of the data.
Data on Cell IDs and their locations can be used to provide location information to mobile devices. Using Cell ID locations to find device location is more power efficient and often faster than using satellite-based navigation systems, although it is less precise because of the lack of known Cell IDs.
Geolocation, particularly cell-tower/GSM based, is widely used in location-centric apps and devices including people, asset, and fleet tracking applications.
The database is also used to determine the strength of available wireless connections and which mobile phone service providers have coverage in specific geographic locations.
The unique location area identities of the cell towers can be collected by devices that utilize the wireless network provided by those cell towers. This data is primarily contributed by smartphone users who have installed apps, such as OpenCellID or OpenCellID Client, and commercial tracking devices such as blackboxes, but also by wholesale data donation by corporations. This is then collected and transferred into the OpenCellID API database.
The OpenCellID database is published under a Creative Commons open content license with the intention of promoting free use and redistribution of the data.
- Trevisani, Emiliano; Andrea Vitaletti (2004). "Cell-ID location technique, limits and benefits: an experimental study". Workshop on Mobile Computing Systems Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 2004).
- Jie Yang; Alexander Varshavsky; Hongbo Liu; Yingying Chen & Marco Gruteser (2010). "Accuracy characterization of cell tower localization". Proceedings of the 12th ACM international conference on Ubiquitous computing (Ubicomp '10): 223–226.
- Kattan, Francisco. "Dynamic Cell-ID: Clever way to Block Google, but will it Backfire?". Retrieved February 6, 2010.
- inViu OpenCellID client "OpenCellID App" Check
- Wolschon, Markus. "OpenCellID Client".
- "OpenCellID API".
- "OpenCellID API introduction".