Blind Navigation System Using AI
The entire project system is categorized into 2 types of processing. The initial setup and processing happens at the Raspberry pi itself. Here, we refer this device as the server device as, it plays a role in sending images to the host computer (client), where the actual processing of the images are
2025-06-28 16:25:34 - Adil Khan
Blind Navigation System Using AI
Project Area of Specialization Artificial IntelligenceProject SummaryThe entire project system is categorized into 2 types of processing. The initial setup and processing happens at the Raspberry pi itself. Here, we refer this device as the server device as, it plays a role in sending images to the host computer (client), where the actual processing of the images are done. In the raspberry pi, there are few python scripts written to invoke a few preliminary actions. One of those are to determine the close proximity of objects. Here, the raspberry pi makes use of a sensor “ultrasonic sensor” to get information about the closeness of the person to the object. It triggers a stop signal only if the object is sufficiently near. Once the object is near, the script responsible for capturing images of the object ahead is invoked. Hence, saves and stores the images of the object ahead. These objects are now ready to be sent to the client (host computer).
When the images are done being stored, the script responsible for the server socket is initiated. Here, the server socket waits for any connection with the client system. If no connection is available, the process continues. If a connection is established, then the images from the raspberry pi is sent to the host computer.
Project ObjectivesIn this project, the main objective is to develop a good functional system for the visually impaired. The objectives that the system should achieve.
- Object identification.
- Voice assisted action based system that warns the person.
- Differentiation between Static (still) objects and Dynamic (moving) objects.
•The purpose of the project is to avoid any means of obstacles on the path of the blind person. This is only possible if there is an object detection module such as an ultrasonic sensor capable of registering any change in distance between the person and the object in real-time.
•Thus, we make use of a function designed exclusively to determine if the object is in close proximity.
•This project contains three main parts, a raspberry pi 4 (powered by android things), camera and artificial intelligence. When the person presses the button on device, the camera module starts to take a pictures and analyze the image using Tensor flow (open source library for numerical computation ) and detect what is that picture is about, and then using a speaker or headphone, the device will voice assist the person about that picture).
Benefits of the ProjectThis system reduces the dependency on other family members. It is simple, and easy to handle guidance system. With the help of blind assist system, reduce minor collision, and increase safety. Audio feedback short prerecorded messages informing the user about the obstacles can be played. Vibration feedback are provided.Detects obstacle and alerts the blind person through vibration alert and speech output
Technical Details of Final DeliverableThis project contains three main parts, a raspberry pi 3 (powered by android things), camera and artificial intelligence. When the person presses the button on device, the camera module starts to take a pictures and analyze the image using Tensorflow (open source library for numerical computation ) and detect what is that picture is about, and then using a speaker or headphone, the device will voice assist the person about that picture)
Assist the blind persons during the walk and provides an alarm if any hurdle is detected. However, indoor navigation in unknown environments is still the most important because due to a weak GPS
Final Deliverable of the Project Hardware SystemCore Industry HealthOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies Big DataSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 51300 | |||
| Raspberry pi 4 Model B 8GB | Equipment | 1 | 32000 | 32000 |
| Raspberry Pi Camera Module V2 8 Megapixels | Equipment | 2 | 7950 | 15900 |
| HC-SR04 Ultrasonic Distance Sensor | Equipment | 3 | 200 | 600 |
| Vero Board, Resistors and capacitors | Equipment | 1 | 2000 | 2000 |
| cap and band | Equipment | 1 | 800 | 800 |