• Mohinish Sharma
• Shraddha Upadhaya
• Tejas Tawadia
• Aditi Rajmane

Indoor positioning system is a system which can determine the position or location of people in an indoor environment. In an indoor region, their location can be tracked by a third party. For indoor positioning, we have adopted a method known as fingerprinting. This method utilizes the existing Wi-Fi infrastructure, and works upon the signal strength from the Wi-Fi access points. The employment of access points for indoor location-based services in an exceeding indoor space, leverages their use. Fingerprinting involves generation of a database which contains signal strengths at every point in a decided area, which has been done using android application. Later, the position can be computed using this database and the incoming real-time signal strength values. Machine learning has been used to increase the accuracy of the system. The application is successfully generating the desired database and the system is able to track the signal strength received by the mobile devices acquired by the people, present in the local area.

Indoor Positioning System, Fingerprinting, Wi-Fi, Access points, RSSI, Database, Machine learning.

"Indoor Positioning System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.244-249, June 2019, Available :http://www.jetir.org/papers/JETIR1906I64.pdf

"Indoor Positioning System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp244-249, June 2019, Available at : http://www.jetir.org/papers/JETIR1906I64.pdf