Unique Registration Number: GSInC-I-000342
Innovator Name:
- Jayton Denilson Rodrigues
- Anjana P.A
- Deepraj Dinanth Govenkar
- Ish Ramesh Sinai
Name of a Mentor:- Guide :- Dr. Jayalaxmi Devate; Co-Guide:- Satish Gangavati
Name of School/College/Startup/Organisation: Padre Conceicao College of Engineering, Verna-Goa
Contact No: +918626076974, 9284589726
Contact Email: jaytonrodrigues@gmail.com ; anjanapa4602@gmail.com
Project Objective:
- Implement voice-controlled navigation to facilitate hands-free operation.
- Provide real-time audio assistance for immediate user feedback and guidance.
- Integrate obstacle detection sensors to enhance user safety and awareness.
- Improve the overall quality of life for users through advanced mobility solutions.
- Enhance the mobility experience by incorporating innovative technological features.
Abstract:
- Implement voice-controlled navigation to facilitate hands-free operation. Provide real-time audio assistance for immediate user feedback and guidance. Integrate obstacle detection sensors to enhance user safety and awareness. Improve the overall quality of life for users through advanced mobility solutions. Enhance the mobility experience by incorporating innovative technological features.
- Implement voice-controlled navigation to facilitate hands-free operation. Provide real-time audio assistance for immediate user feedback and guidance. Integrate obstacle detection sensors to enhance user safety and awareness. Improve the overall quality of life for users through advanced mobility solutions. Enhance the mobility experience by incorporating innovative technological features.
- The model uses webcam to detect the objects that are in front of the wheelchair and then it tells the user about them via the hearing assistant which in turn provides the extra help in ensuring that he/she is always aware of the surroundings. The hearing assistant not only gives the driver the verbal warnings about the obstacles and objects that he/she sees but also provides the driver the information to make a good decision on how to deal with it, thus, the hearing assistant becomes the best partner for the driver.
- This project puts together these technologies to make a fully integrated assistance system that is designed for visually impaired people, which will make them more independent, safer, and improve their living standard in general by using voice control, intelligent sensors and auditory feedback.
Project Outcome/ Result/ finding:- The project, titled “Voice-Controlled Wheelchair for the Blind with Hearing Assistant,” demonstrates the significant potential of technology in enhancing the quality of life for individuals with physical challenges. The system, powered by a Raspberry Pi, employs voice commands and various sensors to provide a secure and autonomous navigation solution.
Key features and outcomes of the project include:
1. Voice Control: The wheelchair can be operated using voice commands, allowing hands-free mobility for users.
2. Obstacle Detection: Utilization of ultrasonic and LiDAR sensors for real-time detection of obstacles, enhancing user safety.
3. Object Recognition: A webcam-based object recognition model that identifies objects in front of the wheelchair, providing the user with auditory feedback via a hearing assistant.
4. Hearing Assistant: A text-to-speech functionality that informs the user about the surrounding environment, including obstacles and objects, to aid in decision-making.
Conclusion
The project illustrates how integrating voice control, intelligent sensors, and auditory feedback can significantly improve the independence, safety, and overall quality of life for visually impaired individuals. The system’s ability to provide real-time situational awareness and hands-free control offers a robust solution for enhanced mobility.
Future Scope
1. Advanced Battery Systems: Integration of better battery connections to reduce direct wiring needs, resulting in a neater design and minimal maintenance.
2. Enhanced Speech Recognition: Development of advanced speech and text recognition capabilities to facilitate easier and more efficient voice commands.
These advancements will further enhance the functionality, capabilities, and usability of powered wheelchairs, making them more reliable and user-friendly for individuals with disabilities.
Innovative Approach: :-
The “Voice-Controlled Wheelchair for the Blind with Hearing Assistant” project incorporates several innovative approaches to enhance mobility and safety for visually impaired individuals. The primary innovations include:
1. Voice-Controlled Navigation:
– The wheelchair can be operated using voice commands, which provides a hands-free experience for the user. This feature is crucial for individuals who have limited hand mobility and for those who find joystick or gesture controls challenging.
2. Real-Time Obstacle Detection and Avoidance:
– The integration of ultrasonic and LiDAR sensors allows for real-time detection and avoidance of obstacles. This system continuously scans the environment and ensures safe navigation, preventing collisions and enhancing user safety.
3. Object Recognition with Auditory Feedback:
– Using a webcam and an object recognition model, the system identifies objects in the wheelchair’s path. The objects are then communicated to the user through auditory feedback, providing situational awareness and aiding in decision-making.
4. Hearing Assistant for Environmental Awareness:
– The text-to-speech functionality provides continuous auditory feedback about the user’s surroundings. This assistant informs the user about detected objects, obstacles, and other environmental factors, enhancing their awareness and safety.
5. Integration of Advanced Technologies:
– The use of advanced technologies such as Raspberry Pi, LiDAR, ultrasonic sensors, and object recognition algorithms showcases the project’s commitment to leveraging modern innovations to solve real-world problems.
6. Future Enhancements:
– Proposals for future improvements include integrating advanced speech recognition systems to make voice commands more intuitive and effective. Additionally, enhancements in battery systems and wiring will lead to a more efficient, neat design with minimal maintenance.
Conclusion
The innovative approaches employed in this project make it a significant advancement in assistive technology. By combining voice control, real-time obstacle detection, object recognition, and auditory feedback, the project addresses critical needs for visually impaired individuals, ultimately improving their independence, mobility, and quality of life.