We are developing a project that is targeting blind people who are illiterate and not financially strong and are local. The blind man's shirt will have a camera in place of the button and an earphone in his ear. The camera will recognize the object and the person in front of the blind person and a v
Smart Eye
We are developing a project that is targeting blind people who are illiterate and not financially strong and are local. The blind man's shirt will have a camera in place of the button and an earphone in his ear. The camera will recognize the object and the person in front of the blind person and a voice in Urdu will be heard in his ear as to who and what is in front of him. In addition, with the help of this device, the blind person will know the age, name, emotions and region of the person standing in front of him.
01)To design a smart Eye system for Blind People that can
• save time
• Easily detect Objects
•Also detect person
02) To provide a device that can access household objects and person via camera and raspberry pi
To implement this project we have to required some models such as facial recognition, emotional recognition, text to speech conversation model etc. also some hardware equipments such as resberry pi, wireless headphones as well as Wireless camera. Only it will be applicable for blind persons.
We are making an application which will specially helpfull for blind persons. Through which the blind persons will be able to indicate people and things in front of them. It also pass a voice note through earphones that tells the name of the next known person. Besides it, the voice note passed in Urdu language because we are specially want to make this application helpful for the illiterate local people. Furthermore, the software also detect the person's age, face color and emotions such as sad,happy, angry etc.
In this we are using Python and in Python we are using AI in which we will train models that will do facial recognition. And with that we are using DeepFace's API and then we will convert it to audio via text to speech converter. Then using sensors, Python, Raspberry Pi and cameras for this and connecting them all to run a project.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Wireless Headphone | Equipment | 1 | 9000 | 9000 |
| Camera | Equipment | 1 | 20000 | 20000 |
| Resberry pi | Equipment | 1 | 15000 | 15000 |
| Total in (Rs) | 44000 |
Thread counting using computer vision can be the most efficient way to counting no. of thr...
The Information Age has influenced the workforce in a few different ways. Freelancing is c...
Career-related confusions are a serious issue among students these days. A student needs a...
Programmable Logic Controller (PLC) Kit for teaching and learning will develop based on th...
Vehicles on the road are increasing extensively day by day, particularly in proportion to...