Design of SensoBot

Abstract

• SensoBotisasmartrobotdesignedformotionand object detection. • UtilizesIRsensorsandmotionsensors. • ControlledusinganArduinomicrocontroller. • Displaysoutputandstatusonadigitaldisplay. • Suitable for automation, security, and educational purposes.

Introduction

Overview

SensoBot is a compact, low-cost, and flexible robot designed to enhance automation through real-time object and motion detection using sensors and an Arduino microcontroller. It combines IR and PIR sensors for environmental awareness and supports various optional features like buzzers and wheels.

Key Components

1. IR Sensor: Detects nearby objects via reflected infrared light — used for obstacle avoidance.

2. PIR Sensor: Detects motion by sensing body heat — ideal for security and presence detection.

3. Arduino Microcontroller: Processes sensor data and controls outputs like displays or alarms.

4. Display Module: Shows real-time messages like “Motion Detected” or “Object Detected.”

5. Power Supply: Runs the circuit via battery or USB for portability.

6. Optional Add-ons: Buzzer, LED indicators, motor driver with wheels for mobility.

System Workflow

• Sensors monitor surroundings.

• On detection, signals are sent to Arduino.

• Arduino processes data and displays status or triggers actions (e.g., alarm).

• System resets and continues scanning.

Features

• Real-time motion and object detection

• Digital feedback via display

• Modular, compact, and Arduino-based

Advantages

• Affordable and energy-efficient

• Easy to build, modify, and expand

• Works across various environments

• Enhances automation and security systems

Applications

• Home automation and security

• Robot obstacle detection

• Industrial automation

• Surveillance and monitoring

• Educational projects

Conclusion

1) SensoBotisaneffectiveandaffordablerobotusingbasic sensors. 2) Idealforlearning,automation,andpractical applications. 3) CanbeenhancedwithIoT,camera,orwirelessfeatures. 4) Promotesinnovationinroboticsandsmartsystems.

Copyright

Copyright © 2025 K. Kalyani, SP. Faheema Firdos, R. Hema Chandra, S. Izhar Ul Hasan, D. Sudesh, S. Khadar Vali. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.