An AI-Based Visual Aid with Integrated Reading Assistant for the Completely Blind

An AI-Based Visual Aid with Integrated Reading Assistant for the Completely Blind

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Product Code: Embedded - Artificial Intelligence
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Product Description

Aim:

Aim of this project is to develop a personal assistant stick for visually impaired people to help identify faces of people standing in front of them, to identify indoor objects and used to read book or any readable document.


Introduction:

            At present, screen free interactive devices are emerging and people are very curious to interact with machines. Instead of

depending on interfacing devices like touch screen, button systems we are going to control devices by means of voice. In this system we are going to utilize this technology to help visually impaired people to access the latest technologies without screen.



            This system can be operating in three modes. It is used to recognize others face, to recognize indoor objects and text to speech conversion. Mode of operation selected by user; if user selects face recognition mode then the system identifies face of person who standing in front of user using camera attached with eyeglass and intimate to user via earphones. To recognize faces system uses the Haar Cascade algorithm. It can identify only the known faces i.e., already trained faces which stored in database. If user select reading mode, it uses OCR (Optical Character Recognition) algorithm to read the book. In this mode camera capture the image of book page and convert it into text. Converted text convey to user as audio through headphone. This system helps user to read any text document without others help. Water level sensor added in the stick used to identify the water content on the surface and emergency button is used to send an alert message to relatives when user at an emergency situation.

 

Proposed system:

 

            Proposed system is a portable handy device used to help visually impaired people to identify known persons and helps to read the book. Here, Cascade algorithm was used to identify the persons, OCR algorithm helps to read the book or documents and pre-trained Mobilenet-SSD model used to detect indoor object detection. This SSD model is converted into tflite model to increase the detection count. Water level sensor and emergency button is added into this system.

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Package Includes

Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.