On international level many of the products and gadgets are developed to lubricate blind persons. But such products are expensive and out of budget and most of them are heavy to carry, so basic privilege of this project is to provide financial ease and easy to handle device. Having all 5 se
Object detection and recommendation system for visionary impaired
On international level many of the products and gadgets are developed to lubricate blind persons. But such products are expensive and out of budget and most of them are heavy to carry, so basic privilege of this project is to provide financial ease and easy to handle device.
Having all 5 senses is a blessing and all of them plays a major role in life. Through an eye we can see things, understand them and feel our surroundings but no vision cause depression and other psychological issues. Our product will describe the scene to the blind person, read out the text documents, enrol or register the people and recognize the identity of people found in a scene using face recognition.
Enable the visually disabled persons to recognize the activities happening in their surroundings.
Deliver a cost-effective vision system for visually disabled people.
Provide light weight and portable device for all group of blinds to prevent them from exertion and burden.
Enable the user to create images in their brain by getting knowledge about the people, their gender and expressions.
Create a device to enrol and recognize persons.
Create a device to read out the text, sign boards etc.h
We will design a resbperry pi in which we will embed codes and we will use machine learning and deep learning as well
Object detection and enrollment is main part of this project.we will use headphone and camera which detect the object through voice command blind person will recognize the person or object
Our project is low cost device which help the blinds to understand the nature and enjoy the life.every poor blind can aslo use this device which is affordable for every person in society.
We will embed code in Respberry pi and use machine learning and deep learning as well.Camera and headphone will be used for this purpose which detect object and convert it into text to speech.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Respberry pi | Equipment | 2 | 25000 | 50000 |
| Camera and button | Equipment | 1 | 1000 | 1000 |
| Headphones | Miscellaneous | 1 | 2000 | 2000 |
| Total in (Rs) | 53000 |
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