Some of the major problems faced by a person who are unable to speak is they cannot express their emotion as freely in this world. Utilize that voice recognition and voice search systems in smartphone(s). Audio results cannot be retrieved. They are not able to utilize (Artificial Intelligence/personal Butler) like google assistance, or Apple's SIRI etc. because all those apps are based on voice controlling.
American Sign Language (ASL) is a complete, complex language that employs signs made by moving the hands combined with facial expressions and postures of the body. It is the go-to language of many North Americans who are not able to talk and is one of various communication alternatives used by people who are deaf or hard-of-hearing. While sign language is very essential for deaf-mute people, to communicate both with normal people and with themselves, is still getting less attention from the normal people One of the solutions to talk with the deaf-mute people is by using the mechanisms of sign language.
Hand gesture is one of the methods used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or talking disorders to communicate among themselves or with normal people. Various sign language systems have been developed by many manufacturers around the world but they are neither flexible nor cost-effective for the end users.
Our strategy involves implementing such an application which detects pre-defined American sign language (ASL) through hand gestures. For the detection of movement of gesture, we would use basic level of hardware component like camera and interfacing is required. Our application would be a comprehensive User-friendly Based system built on Tkinter module. This application simply detects the gesture and displays appropriate alphabet.
1 SYSTEM REQUIREMENT
1.1 HARDWARE REQUIREMENTS
❖ Intel Core i5 10th gen processor or later. ❖ 512 MB disk space. ❖ 512 MB RAM. ❖ Any external or inbuild camera with minimum pixel resolution 200 x 200 (300ppi or 150lpi) 4-megapixel cameras and up.
1.2 SOFTWARE REQUIREMENTS
❖ Microsoft Windows 10 or later / Ubuntu 16.0 LTS or later /MAC OS 10.1 or later. ❖ Python Interpreter (3.6). ❖ TensorFlow framework, Keras API. ❖ Python modules used – Tkinter, OpenCV2, numpy and pillow libraries.
1.3 SYSTEM FEATURES
❖ User-friendly based GUI built using industrial standard Tkinter. ❖ Real time American standard character detection based on gesture made by user