View Proposal

Proposer
Aigerim Khairullina
Title
Design and Implementation of an IoT-Based Indoor Localization System for Campus Asset Tracking
Goal
To develop an indoor localization system using a distributed network of gateways to track high-value campus inventory at a room-level accuracy where standard GPS signals fail.
Description
The system utilizes programmable BLE (Bluetooth Low Energy) beacons attached to assets that continuously broadcast unique identifiers, which are intercepted by pre-existing Raspberry Pi boards acting as local gateways. A central Python server processes the incoming Received Signal Strength Indicator (RSSI) values from multiple rooms, applies a data-smoothing filter to mitigate signal noise, and dynamically highlights the asset's active location on a real-time MQTT-driven web dashboard map.
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
1
Supervisor
Aigerim Khairullina
Keywords
internet of things, indoor localization, bluetooth low energy, asset tracking.
Degrees
Bachelor of Science in Computational Sciences and Software Engineering
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