MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064179 A) filed by Usha Rani Macigi; N. V. Muthu Lakshmi; Sunitha Kanipakam; K. Manjula; and G. Prathyusha, Tirupati. Andhra Pradesh, on May 21, for 'an android application to provide assistance to hearing & visually impaired people.'

Inventor(s) include Usha Rani Macigi; N. V. Muthu Lakshmi; Sunitha Kanipakam; K. Manjula; and G. Prathyusha.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "Mobile apps have grown into an essential element of daily life, offering straightforward access to communication, services, and data for every segment of society. In this paper, a mobile app tailored for disabled people, enhancing accessibility, communication, and independent living via smart and intuitive functionalities. Sign Language is the significant language for hearing impaired people. The mobile app focuses mainly on sign language translation especially for providing legal assistance with 13 features. This app also assist visually impaired people. The proposed system facilitates on-the-fly recognition of sign language on mobile devices through the use of CameraX for capturing live video and the TensorFlow Lite Task Library for streamlined on-device processing. Fundamentally, a quantized TensorFlow Lite model offers fast, low-latency predictions tailored for mobile settings. This method guarantees instant responsiveness, rendering it extremely appropriate for real-time assistive communication uses. Basically Computer Vision Modules-Edge AI, Generative AI & NLP Modules-Cloud AI, Static Analysis & Interactive user friendly modules are developed to assist disabled people. Finally comparison of six modules over inference type, average, resource impact are presented in this paper. Sign language translator for static and dynamic-prototype models achieved 99.3 % and 100% however video to sign,dynamic translation is only prototype model not for generalizations."

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