Sign Language Recognition Using Python

11)   Background/ Problem Statement

The gesture is a vital and meaningful mode of communication for the visually impaired person. So here is the computer-based method for regular people to understand what the differently-abled individual is trying to say.

In our system, the user will perform the hand gestures or signs by turning on their camera, and the system will detect the sign and display it to the user.

12)   Working of the Project

 

In this sign language recognition system, a sign detector detects numbers, which can be easily extended to cover a wide range of other signs and hand signs, including the alphabet.

In this system, we are using a machine learning model known as CNN. Convolutional Neural Networks (CNNs) can learn complicated objects and patterns because they have an input layer, an output layer, numerous hidden layers, and millions of parameters.

By turning on the camera, the user can perform the hand signs, and the system will detect the sign and display it to the user. Using hand signs, the individual may send out more information in a shorter amount of time.

1)  3) Advantages

 

-        Helps in learning hand signs.

-        CNN is very satisfactory at picking up on design in the input image, such as lines, gradients, circles, or even eyes and faces.

1)   System Description

The system comprises 1 major module with their sub-modules as follows:

 

v User:

·      Detect

-        On click, the camera will be opened, user can show different signs.

Accordingly, the sign will be detected and the label of that sign will be shown on the window.

15)   Project Life Cycle

 

            The waterfall model is a classical model used in the system development life cycle to create a system with a linear and sequential approach. It is termed a waterfall because the model develops systematically from one phase to another in a downward fashion. The waterfall approach does not define the process to go back to the previous phase to handle changes in requirements. The waterfall approach is the earliest approach that was used for software development.

 

 

           

1)   System Requirements

 

                          I.          Hardware Requirement

 

                                   i.          Laptop or PC

·      Windows 7 or higher

·      I3 processor system or higher

·      4 GB RAM or higher

·      100 GB ROM or higher

 

                       II.          Software Requirement

 

                                 ii.          Laptop or PC

·      Python

·      Sublime text Editor

XAMP Server

17)   Limitation/Disadvantages

-        There should be sufficient light around while detecting.

-        Only pre-defined signs will be recognized.

 

28)   Application – This system will detect the user's hand signs.

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