IoT Self Powered Anti Theft Floor Mat using Arduino and Piezo Electric Sensors

Description

A matrix of 100 piezoelectric sensors is embedded beneath the floor surface to detect pressure generated by human footsteps. These sensors convert mechanical energy into electrical energy using the piezoelectric effect.

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INTRODUCTION

The rapid growth of urbanization and increasing concerns regarding safety and security have created a strong demand for intelligent, reliable, and cost-effective intrusion detection systems. Traditional security solutions such as CCTV surveillance, infrared motion sensors, and alarm systems are widely used; however, these systems often suffer from limitations including dependency on lighting conditions, restricted coverage areas, vulnerability to tampering, and the need for continuous monitoring. In high-security environments such as banks, museums, restricted military zones, and smart homes, there is a requirement for concealed and highly sensitive detection mechanisms capable of identifying unauthorized access without being easily bypassed.

The integration of embedded systems and Internet of Things (IoT) technologies has enabled the development of advanced security solutions that are compact, automated, and capable of real-time response. One such emerging approach is the use of piezoelectric sensors embedded within flooring structures to detect mechanical pressure caused by human movement. The piezoelectric effect, discovered in 1880 by Jacques and Pierre Curie, allows certain materials to generate an electrical signal when subjected to mechanical stress. This property has been extensively utilized in applications such as vibration sensing, structural health monitoring, and energy harvesting systems.

In the proposed system, a high-density array of 100 piezoelectric sensors is integrated into a floor mat to create a smart detection surface. When a person steps on the mat, the pressure exerted generates electrical signals that can be captured and processed using a micro-controller. Unlike camera-based systems, this approach ensures privacy, eliminates dependence on visibility conditions, and provides direct physical detection of intrusion. Furthermore, the system incorporates a self-powering concept by utilizing the energy generated from piezoelectric sensors, contributing to energy efficiency and sustainability. The combination of sensor technology, embedded processing, and real-time alert mechanisms makes this system highly suitable for modern smart security applications.

PROBLEM STATEMENT

Existing security systems face several challenges:

• Surveillance systems depend on visibility and can be avoided by intruders.
• Motion sensors may fail to detect slow or carefully controlled movements.
• Traditional systems require continuous monitoring and higher installation costs.
• Lack of concealed detection mechanisms reduces system reliability.

The objective is to develop a concealed, efficient, and real-time intrusion detection system using piezoelectric sensors embedded within flooring.

OBJECTIVES

• To design and develop a smart anti-theft flooring system using piezoelectric sensors for detecting unauthorized access
• To implement a large-scale sensing network using 100 piezoelectric sensors for enhanced coverage and sensitivity
• To process real-time sensor data using an Arduino-based embedded system
• To provide immediate alert mechanisms using buzzer, LED indicators, LCD display, and actuator systems
• To incorporate energy-efficient operation through piezoelectric energy harvesting and optimized power management

Hardware Components Required

1. Piezoelectric Sensors (100 Units arranged in plates)
2. ESP 8266 IOT Module for Sending Alert to Phone
3. Bridge Rectifier / Diodes (for AC to DC conversion)
4. Capacitors (for filtering and energy smoothing)
5. Charging Circuit Module (for battery charging control)
6. Rechargeable Battery Pack (3.7V Lithium Cells)
7. Boost Converter Module (Step-Up Voltage Converter)
8. Battery Pack (11.1V Lithium Battery Configuration)
9. DC to AC Inverter (12V DC to 220V AC)
10. 220V AC Bulb (10 Watt Load)
11. Switches
12. Connecting Wires and PCB

Software Required

Arduino Tool

Android/ IOS App Remote XY

Methodology

The self-powered energy generation system is implemented using an array of 100 piezoelectric sensors arranged in multiple plates beneath a floor mat, where mechanical stress generated by human footsteps produces electrical energy through the piezoelectric effect, and the generated alternating voltage from each sensor is combined and passed through a rectification stage using diodes or a bridge rectifier to convert it into direct current, followed by filtering using capacitors to stabilize the voltage output, after which the energy is directed to a charging circuit to safely store power in a 3.7V rechargeable lithium battery pack, and the stored low-voltage energy is then increased using a boost converter module to a higher voltage level suitable for charging an 11.1V battery system, which acts as the primary energy storage unit, and this stored energy is further supplied to a DC to AC inverter that converts 11.1V DC into 220V AC output, enabling the operation of an AC load such as a 10W bulb, thereby demonstrating the capability of the system to harvest, store, and utilize mechanical energy generated from human movement for practical electrical applications in a self-sustained manner.

Project Title Suggestions

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10. Intelligent Self Powered Floor Mat using Piezoelectric Energy Harvesting

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