A COST-EFFECTIVE IOT-BASED FOOTFALL COUNTING SYSTEM USING PIR SENSORS

Ravi C. Butani; Jignesh K. Bhavsar; Nisarg K. Bhatt

doi:10.29121/shodhkosh.v3.i2.2022.6355

Authors

Ravi C. Butani Assistant Professor, EC Department, Government Engineering College, Gandhinagar
Jignesh K. Bhavsar Assistant Professor, EC Department, Government Engineering College, Gandhinagar
Nisarg K. Bhatt Assistant Professor, EC Department, Government Engineering College, Gandhinagar

DOI:

https://doi.org/10.29121/shodhkosh.v3.i2.2022.6355

Keywords:

Footfall Counting, Iot, Pir Sensors, Occupancy Monitoring, Smart Infrastructure

Abstract [English]

Footfall refers to the number of people present in, or who have passed through, a given location during a specific period. Accurate footfall data is a vital metric that, when analyzed, can yield valuable insights such as conversion rates, traffic heatmaps, planning strategies, and occupancy indices. Traditional counting methods employ manpower or automated systems such as turnstiles, camera-based detection, radio-frequency fingerprinting, and various transducers (ultrasonic, force, infrared). However, these approaches present challenges including high deployment cost, maintenance requirements, privacy concerns, and inconsistent accuracy.
This project proposes a cost-effective IoT-based solution utilizing Passive Infrared (PIR) sensors for footfall counting. The system is designed to deliver comparable functionality to existing commercial solutions while eliminating privacy risks and significantly reducing cost and maintenance overhead. The integration of IoT capabilities further enables real-time monitoring and data analysis, making the solution well-suited for applications in smart infrastructure, retail, and institutional environments.

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