2. " Vision Assistance Device with
Embedded Object Recognition for
Enhanced Mobility "
PROBLEM STATEMENT
3. Roadmap
SEM 3
Final
SEM 5
SEM 4
• Model Training
• Real-Time Implementation
• Performance Evaluation
One Object Detection
• Sensor Integration
• Simulation
• Prototype Development
Navigation and Integration
• User Interface
• Field Testing
Final Documentation
• Literature Review
• Skill Development
• Dataset Collection
Foundations and Research
4. • Identifying clothes, cooking safely, and maintaining hygiene are challenging without vision.
• Visually impaired individuals struggle with perception, especially outdoors where objects constantly change and move.
• They cannot see vehicles to determine when it’s safe to cross the street.
• They may not see crosswalk lines or other road markings that indicate safe crossing points.
• They cannot see people, animals, or vehicles moving toward them, making it difficult to avoid collisions.
• Blind individuals struggle to detect obstacles like poles, benches, or bicycles, risking collisions and injuries.
• Overhead obstacles like branches or signboards pose a danger, as they can't be detected by touch or sound, risking head injuries.
• Quieter electric and hybrid vehicles are a serious risk for blind individuals who may not hear them when crossing streets.
• In crowded places like markets, blind individuals struggle to avoid collisions as they can't see the flow of people.
• Blind individuals may struggle with accurately managing medication dosages and schedules.
ACTUAL PROBLEMS FACED BY BLIND PEOPLE
5. 1. They rely on human assistance for guidance, a practice since the dawn of mankind.
2. Service dogs have aided visually impaired individuals with companionship and obstacle
avoidance since world war-I.
3. White canes, in use since world war-II, help detect obstacles through tactile feedback.
4. Braille blocks, introduced in 1965, provide tactile indicators for navigating public spaces.
5. The hoople, available since 1990, aids in identifying obstacles and navigating uneven terrain.
6. Smart canes integrate technology to detect obstacles and enhance mobility.
7. Solar-powered canes, a future innovation, will combine sustainable energy with advanced
mobility support.
8. Smart blind stick :- A stick which detect an objects in certain area and give output as a alert
sound through buzzer.
9. In present time some applications are available in market they are very costly.
PRESENT TIME SOLUTIONS
7. The smart navigation system for the visually impaired works by capturing images from a camera attached to the user.
These images are sent to a Raspberry Pi, a small computer that processes them.
First, the images are saved, and then they are improved for better clarity. The system looks at the images to find objects around
the user, like walls or other obstacles. It also measures how far these objects are from the user.
Based on this information, the Raspberry Pi creates audio messages and text alerts to tell the user
what’s around them.
This information is then sent back to the user through sound, like headphones or a small speaker, helping them know
where obstacles are.
The whole process allows the user to move safely and confidently.
The device keeps checking and updating in real-time, making it more helpful than regular navigation aids. It helps visually
impaired individuals feel more secure and independent while walking in different environments.
Working Principle
10. Microcontroller/Embedded System: Arduino, Raspberry Pi
Camera Module: A camera module compatible with microcontroller (e.g., Raspberry Pi
Camera Module or USB Webcam).
Object Recognition Software: Libraries such as TensorFlow, OpenCV, or YOLO for object
detection and recognition.
Ultrasonic Sensors: For obstacle detection and distance measurement (e.g., HC-SR04).
Communication and Output Components Speaker or Audio Output Module: For
providing auditory feedback (e.g., small speaker or buzzer).
Bluetooth or Wi-Fi Module: For wireless communication and data transfer (e.g., HC-05
Bluetooth module or Wi-Fi module).
Battery Pack: To power the entire system (e.g., Li-Po or rechargeable battery). For storing
data or logs if needed.
SD Card (Optional): For storing data or logs if needed.
COMPONENTS
