Voice Automated Wheelchair
Some people feel isolated from others due to their disabilities which are not even their fault but still they suffer therefore, we aim to bring a change so, they can live like others. This project controls the movements of a wheelchair by operating it through voice commands provided by the user
2025-06-28 16:36:40 - Adil Khan
Voice Automated Wheelchair
Project Area of Specialization RoboticsProject SummarySome people feel isolated from others due to their disabilities which are not even their fault but still they suffer therefore, we aim to bring a change so, they can live like others. This project controls the movements of a wheelchair by operating it through voice commands provided by the user. Every system contains a microcontroller that controls and monitors all activities of the system. In this wheelchair, Raspberry Pi is responsible for controlling the whole functionalities. The Voice recognition module recognizes voice signals and a wheelchair acts accordingly as the voice commands are delivered.
For the detection of obstacles, there are Ultrasonic sensors that are placed at the front side (Top & Bottom) of the wheelchair that continuously detects obstacles. In case of immediate obstacles, these sensors are also capable to deliver immediate pause of the wheelchair. When the wheelchair is moving on a surface, the system also monitors the surface when the surface area is lower or higher than the normal surface, or the matter of speed of wheelchair either it is too fast or too slow, or the matter of providing the location in case of emergency, our system can deal with such kind of circumstances.
Project ObjectivesThe main objective of our system is to bring ease to handicapped individual's life. To bring a feeling of independence for them by increasing their capability of movement while keeping their safety and comfort at our priority.
To make the system capable of detecting obstacles in between to protect the person from unwanted harm.
To make a system capable carry an individual having heavyweight and to make it sufficient to deal with such situations.
The system should be easy to use to avoid any complexity faced by the user.
Obstacle detection: This module contains Ultrasonic sensors that can detect obstacles. The sensor will sense an obstacle and will transmit data signals to the controller. Further, the controller will decide either to stop the wheelchair or not.
Voice module: Voice module contains a Bluetooth mic and voice recognizer by Raspberry pi operated using Python programming language. Different voice commands are input by a user through a Bluetooth mic. This voice recognizer recognizes it and generates a result. An output of this process is then transmitted to the controller to decide which direction to proceed. Then, the controller takes the decision and the system acts accordingly.
Controller Module: This module consists of a raspberry pi microcontroller for speedy computations. Since we have a voice recognition module that is used to store and identify voice commands. As soon as the person speaks a command voice recognition module recognizes it and sends the signal to the microcontroller based on which it further performs computations and the system moves in that direction.
On the other hand, we have an obstacle detection module via sensors, when sensors send signals to the controller it analyzes the range and performs an action if necessary else system keeps moving in its current state.
The foremost important module is a power module that will always be connected to the microcontroller to activate the system. It will reassure the remaining charge in the system and will inform an individual before the battery drains out to keep them aware and maintain system efficiency.
Power Module: The power module is the main module of our system. That`s why this module contains two 12 volt Rechargeable SLA lead-acid batteries capable of carrying heavyweight. It takes 4 hours charging time with a smart charger and provides 10 hours of traveling capacity which means a patient can easily travel a long distance. In our system, these batteries are used for running two 12 Volt DC motors connected to the left and right sides and also use for raspberry pi.
The utmost benefit of our system is that it serves humanity and put a great impact on one’s life in both perspectives either personal or social, also leaves a positive impact on their mental stability. Serving humanity is seen less in times of today, therefore proposing such a solution can lead to a positive change among the youth. It serves humanity in a way that it makes a person capable of being independent and perform their task without the need of any third person. It enables them to continue with their lives and achieve their dreams.
There is a different environment where a person with a wheelchair has a different path to cross meaning, they are given importance in the outside world which will never leave an impact of unimportance.
There can be an environment where there is huge traffic and people in wheelchairs are scared to travel thus, to keep them safe obstacle detection modules will play their part in helping them to let go of their fears and keep going on.
In terms of economy, this project will bring a good amount of revenues because it isn’t much expensive and provide lots of features, therefore, it can be used in different areas like home, hospitals, or old age homes while playing its one of the main impact that is serving humanity.
This project lies under an Intelligence robot since it can deal with different environments such as dealing with obstacles, maintaining the surface level, and auto-braking system. Voice recognize module will be done using Python programming language either on Pi-Torch or any other suitable software to perform the functionality of speech to text conversion.
Meanwhile, obstacle detection will be done using Ultrasonic sensors that have a range of about 400 cm however, our system will be dealing with obstacles at 40-50cm range. These sensors will be connected using voltage divider rule and python script for pi to perform their task.
The foremost part of the system is a microcontroller, in our case Raspberry pi 4 model b with 2GB RAM is used to deal with different modules of the system, dealing with computations and perform them accordingly. The wheelchair will perform its functionality as explained in the given flowchart below:
Power module contains two 12 volt rechargeable batteries EXP 1270 – 2) that are capable of carrying 70-80 kg weight. This module will be applied using electrical network knowledge.
Final Deliverable of the Project HW/SW integrated systemCore Industry MedicalOther Industries IT , Health Core Technology RoboticsOther Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for People, Reduced InequalityRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 71410 | |||
| Wheelchair | Equipment | 1 | 13200 | 13200 |
| Raspberry Pi 4 (2GB) | Equipment | 1 | 8400 | 8400 |
| Raspberry Pi accessories | Equipment | 1 | 700 | 700 |
| Supply + C type charger | Equipment | 1 | 590 | 590 |
| SD Card (32GB) | Equipment | 1 | 870 | 870 |
| SRO4 ultrasonic sensor | Equipment | 5 | 120 | 600 |
| HDMI to Micro Cable | Equipment | 1 | 250 | 250 |
| Rechargeable Battery | Equipment | 2 | 6500 | 13000 |
| 12v 24v dc worm gear box motor for wheelchair | Equipment | 2 | 11250 | 22500 |
| Connector | Equipment | 50 | 10 | 500 |
| Resistor | Equipment | 10 | 5 | 50 |
| Motor Drivers | Equipment | 2 | 250 | 500 |
| Printing | Miscellaneous | 1 | 4500 | 4500 |
| Bluetooth Mic | Equipment | 1 | 2500 | 2500 |
| Charji Evo Device | Equipment | 1 | 2500 | 2500 |
| Internet package | Miscellaneous | 1 | 750 | 750 |