Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Sumaiyya Nadaf, Srushti Patil, Medhavi Pajgade, Hrutvij Patil, Manisha Mhetre
DOI Link: https://doi.org/10.22214/ijraset.2023.52817
Certificate: View Certificate
People are becoming more career-oriented in recent years, and because of their erratic work schedules, it is harder for people, especially women, to maintain both home and office simultaneously. The Smart Vacuum Cleaner, which uses more advanced technology and is intended to automate the cleaning process, has been presented as a solution to the issue. It uses sensors to identify obstacles and avoid them, and it also has Bluetooth-based communication. The floor cleaning applications for the cleaning robots are effective in assisting humans in homes, hotels, restaurants, workplaces, hospitals, workshops, warehouses, and universities, among other places, therefore they have gained increasing attention in robotics research. This inexpensive, smart vacuum cleaner is constructed with obstacle avoidance in mind. The robot can periodically clean the floor without human assistance in household and commercial settings. Robotic vacuum cleaners have become more and more common in recent years thanks to their convenience and time-saving features. The effective use of these gadgets in crowded situations still presents a difficulty. The unique method described in this abstract uses Bluetooth technology to improve a vacuum cleaner\'s ability to detect obstacles. Our suggested approach makes use of Bluetooth\'s built-in capability to quickly identify and avoid impediments. The vacuum cleaner can detect the existence of impediments nearby thanks to Bluetooth sensors that are strategically positioned all over its body. To ensure seamless integration with existing smart home ecosystems, the vacuum cleaner\'s Bluetooth module is designed to be compatible with popular home automation platforms. This compatibility allows users to control and monitor the vacuum cleaner remotely through their smartphones or voice assistants, providing a convenient and intuitive user experience.
I. INTRODUCTION
A network of physical objects with electronics, sensors, software, and network connectivity is referred to as things in the Internet of Things (IoT). The Internet of Things (IoT) enables remote object sensing and control, allowing for the seamless integration of the physical world with computer-based systems. Modern houses are also increasingly using automation, which offers convenience and reduces the amount of time spent on housework. Urban dwellers put in unusually extended work hours. An individual will always look for ways to save time in such circumstances. It can be challenging for career-driven women to balance home life and work. As of 2021, the ongoing Covid-19 pandemic has made keeping a clean and sanitary living space a top responsibility. Floor cleaning can be done in a number of methods, both manually and automatically. The floor is cleaned using machine power to do so more rapidly and with a larger floor size. However, there are differences and restrictions with floor cleaning equipment. Therefore, it is vital to create a cleaning robot that operates automatically without human aid in order to complete the task swiftly and produce cleaner results across a larger area.
This is the reason we came up with the idea for Cleanzo, a vacuum cleaner that uses Bluetooth to detect obstacles, and Google Assistant for voice commands. The motor shield L298 drives the DC motor after the Arduino Uno microcontroller processes the ultrasonic sensor as a distance detector and a DC motor as the robot's driver. For effective cleaning, the robot will avoid obstacles by adjusting its route when an ultrasonic sensor finds one in front of it. The Arduino-based vacuum cleaner with obstacle detection utilizing Bluetooth is an innovative project that combines robotics, sensor technologies, and wireless communication to produce an autonomous cleaning solution. In this project, we want to create a vacuum cleaner that can go through a room, recognize impediments in its way, and be operated wirelessly using a Bluetooth smartphone app. Traditional vacuum cleaners must be operated manually, which reduces both their effectiveness and convenience. We can improve the capabilities of the vacuum cleaner, making it more intelligent and user-friendly, by incorporating an Arduino microcontroller, a number of sensors, and a Bluetooth connection.
The distance values are evaluated by the Arduino microcontroller to find potential obstructions. The vacuum cleaner adjusts its course to prevent collisions and keeps working to clean when an obstruction is identified.
Bluetooth technology is used to deliver seamless control and monitoring. The cleaner has a Bluetooth module built in that enables wireless communication with a smartphone or other Bluetooth-capable devices. Through this, users can start or stop the cleaning process, change settings, and get real-time feedback while controlling the cleaner remotely. Additionally, voice control gives the project extra functionality and interaction. The cleaner is made even more user-friendly by including a microphone and speaker so that users may give voice instructions to start particular activities. This cleaner's ability to independently identify impediments and adjust its course is its primary functionality.
II. LITERATURE REVIEW
III. METHODOLOGY
A. Components Used
Arduino board - the main controller for the vacuum cleaner.
Motor driver - controls the speed and direction of the motor.
DC motor - drives the vacuum pump.
Vacuum pump - creates suction to pick up debris.
Ultrasonic sensor - detects obstacles in the cleaner's path.
Bluetooth module allows wireless communication between the cleaner and a smartphone or other device.
Battery - powers the cleaner.
Wheels - allow the cleaner to move around.
Chassis - holds all the components together.
Power regulator - ensures that the voltage supplied to the components is constant.
Voltage regulator - regulates the voltage provided to the Arduino board.
Jumper wires - used to connect components on the breadboard.
Microphone - detects voice commands.
Other mechanical parts - such as brackets, screws, and nuts for mounting the components.
Fig.1-Circuit Diagram
B. Algorithm
IV. RESULTS AND DISCUSSION
V. FUTURE SCOPE
The focus of this project has been on short-range Bluetooth modules. Long-distance connectivity with the robot is possible by using a long-range module. Schedules for sleep and waking up can be included in power optimization. Servo motors can be used to increase accuracy. A 2-D mapping system with artificial intelligence will also be present. To enhance their ability to detect obstacles, vacuum cleaners might use cutting-edge sensor technology like lidar (Light Detection and Ranging) or infrared cameras.
They might have environmental sensors that can detect temperature, humidity, or air quality in addition to obstacles. Vacuum cleaners in the future might include power-saving modes, improved cleaning techniques, and effective power management systems.
VI. LIMITATIONS
An Arduino-based vacuum cleaner's obstacle detection system could not be as accurate or sensitive as commercially available options. Insufficient coverage While the cleaner can makeover around obstacles, its size or other design restrictions may make it impossible for it to reach into or clean around corners or narrow spaces. The cleaner's Bluetooth connection with the controlling device has a finite range. If you move too far away from the cleaner, the connection or functionality may be lost.
The precision and dependability of voice recognition technology implemented with Arduino could not be as high as that of specialized voice assistants or cloud-based systems. Background noise, accents, or different speech patterns could be difficult for it. For maintenance, troubleshooting, and customization, Arduino-based systems often require some amount of technical expertise.
A programmable android-based floor-cleaning device is the project that is being planned here. The building has the ability to clean the floor. The system can function with little to no physical energy from humans. A Bluetooth communicator-based Android control is included with the technique. The Android application may control the robot moving forward, left, right, or back. Using the application microcontroller, the Bluetooth module\'s value is read and equivalent data is sent to the vacuum cleaning robot. In the event of an obstruction in its path, the robot will also change its direction autonomously. The robot\'s speed and direction of movement can both be programmed to move randomly. It enables thorough floor cleaning ROBOT with sweeping, mopping, and suction capabilities. It saves time, lowers staff costs, and delivers effective cleaning. The created system still has room for improvement and expansion in terms of usefulness. The robot\'s speed and direction of movement may both be programmed to move randomly.
[1] Abhishek Sutar, Ashish S, Gagan Deep K, Prashanth Kumar K M, Prof. Deepthi Raj: “Automated Domestic Vacuum Cleaner Robot”. https://www.ijraset.com/research-paper/automated-domestic-vacuum-cleaner-robot [2] E. S. Rahayu, Marudono, and D. A. Azis, \"Design of Hoover cleaner dual mode robot prototype based on Arduino uno with Bluetooth and smartphone communication\". https://repo.journalnx.com/index.php/nx/article/view/710 [3] Scott H. Judson: “Remote-controlled vacuum cleaner”: https://www.freepatentsonline.com/6457206.html [4] Ruri Ashari Dalimunthe, Maulana Dwi Sena, William Ramdhan, “Floor Cleaning Robot Control System with Android Baased VoiceCommand”. https://www.researchgate.net/publication/349299686_Floor_Cle aning_Robot_Control_System_ with_ Android_Based_Voice_Command [5] Sayli Mahadik, Ankita Chavan, Prathamesh Yerunkar, Prof. Poonam Pathak, “Voice Operated Floor Cleaning Robot”. https://www.ijream.org/ papers/IJREAMV04I013783.pdf.
Copyright © 2023 Sumaiyya Nadaf, Srushti Patil, Medhavi Pajgade, Hrutvij Patil, Manisha Mhetre. 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.
Paper Id : IJRASET52817
Publish Date : 2023-05-23
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here