International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Smart Elevator Ms. Kavita Jadhav1, Mr. Piyush Dhamne2, Ms. Prachi Matsagar3, Ms. Sujata Suryavanshi4 Ms. Kavita Jadhav, 2Piyush Dhamne, 3Prachi Matsagar, 4 Ms. Sujata Suryavanshi, Department of Information Technology, MVP’s KBT College of Engineering, Maharastra, India. ---------------------------------------------------------------------***--------------------------------------------------------------------1
Abstract - The paper proposes a voice recognition system
communication mechanism between the user and also the Arduino primarily based mechanism.
that is implemented in an elevator. Our goal is to create a touchless elevator that can recognize voice instructions and carry out tasks in response to them. This project is highly beneficial for physically disabled people, like blind and handicapped people. Also, in a global health crisis like COVID19, touching anything in a public place is highly contagious. A smart elevator is going to help there. This is a fully automated system with touchless features. A person does not need to touch any button to operate the lift. The proposed system works for five floors of a college building and accepts voice input commands for floor numbers and ON/OFF operations for lights and fans. This is an interactive system that also gives voice outputs to make it more user-friendly. This system uses the Python programming language and machine learning libraries on the Raspberry Pi 3B+.
The elevator is difficult to use for the blind. It is difficult to use the keypad if they cannot see it. Sometimes the keypad has Braille technique, but they will have a hard time locating it. Even though they found the keypad, how could they know the number if they don’t know Braille? The struggle of blind people using elevators is real. They constantly need someone to press the button for them and alert them when the elevator cabin arrives in elevators. They also have trouble determining if the elevator door is opening or shutting. Not only that but in case of an emergency, how will they act if there is no one with them to help? For a variety of reasons, the voice control option is appealing. Because the system can be utilized by anyone capable of constant and identifiable vocalization, it may be appropriate for a significant number of elevator users. Voice control also reduces physical requirements. However, the recognition accuracy of automatic speech recognition (ASR) systems is a constraint in the deployment of many voicecontrolled systems in real-world applications.
Key Words: speech recognition, voice recognition, Raspberry Pi 3B+, machine learning, touchless elevator, embedded systems, Internet of things.
1. INTRODUCTION In this rapid world of technology where a voice begins, its era of domination to replace the touch screens from smartphones to huge computer systems, bringing voice into day-to-day life becomes significant. Elevators, being one such system used in daily life, serve the purpose of making future generations hands-free, which also becomes a boon for the disabled.
1.1 Problem defination Looking towards the current situation of COVID-19, manually operated lifts have a high rate of spreading the virus as they make contact with each other while manually operating them. Also, for the handicapped person to operate the lift manually, it will not be possible. So, to overcome this major drawback, voice-controlled elevators can be a very good option. Physically disabled people are not able to operate elevators normally. They need some solution.
With the increase of high-rise buildings, there has been an increasing demand for elevator systems. It is used daily as a transport device for people as well as for moving goods. "An elevator is a very handy equipment that transports people to the required floor in the quickest period." An elevator is an exceedingly useful device that moves individuals in the shortest amount of time to the required floor.
1.2 Scope This device is very helpful for blind and physically challenged people. The speech recognition system serves as a conduit for communication between the user and the Raspberry Pi-based lift control system. This system acts as a human-machine communication system. The speech recognition model is the way of controlling the elevator. Speech recognition is the process of recognizing spoken words to take the necessary actions accordingly. The user provides vocal commands as input, and the controller determines whether the instruction is to raise upwards or downwards, and according to the user's voice," says the researcher. The switching mechanism controls the lift.
We will see a massive diversity of home complexes crammed into procurable places with multi-storage building capabilities in today's life. "This project is more suitable for blind, unfit, and physically challenged people. trying to reach the current scenario of COVID-19. Manually operated elevators have a high rate of virus transmission. The main reason for choosing this method is that it allows you to control your elevator using voice commands. Speech recognition systems are a crucial part of the project. The speech recognition of the elevator system permits the
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