%0 Journal Article %1 noauthororeditor %A Casey, %A Sharath, %A Sathwik, %A Janishia, %A Dr.Pradeep, %D 2023 %J International Journal of Innovative Research in Information Security %K cover cryptography image security steganography %N 01 %P 01-06 %R 10.26562/ijiris.2023.v1001.01 %T Vision Gloves for Blinds %U http://www.ijiris.com/volumes/Vol10/iss-01/01.APIS10081.pdf %V 10 %X For people who are visually impaired finding things in an indoor setting that are present in a typical environment might be a difficult chore in a visually impaired person's daily routine. They must be assisted by one or the other to find an object, so to overcome this, an idea has been proposed to develop a glove that can be used by visually impaired individuals to detect objects in an indoor environment and will also function as an artificial eye for those with visual impairments. The glove will have a camera in the hand that will feed real-time footage to the Raspberry Pi so that it can process it, a voice recognition module that will be attached to the Raspberry Pi to identify the object, and a micro vibrating motor to indicate the location of the object. The visually impaired person uses the speech module's built-in microphone to issue voice commands. An approach that uses object detection to find the object is used to locate it. By giving visually impaired people a hands-free means to find objects in enclosed places, the proposed smart glove has the potential to greatly improve their daily life. Hence an efficient and user-friendly system is planned to build by combining computer vision, voice recognition, and haptic feedback technology.

@article{noauthororeditor, abstract = {For people who are visually impaired finding things in an indoor setting that are present in a typical environment might be a difficult chore in a visually impaired person's daily routine. They must be assisted by one or the other to find an object, so to overcome this, an idea has been proposed to develop a glove that can be used by visually impaired individuals to detect objects in an indoor environment and will also function as an artificial eye for those with visual impairments. The glove will have a camera in the hand that will feed real-time footage to the Raspberry Pi so that it can process it, a voice recognition module that will be attached to the Raspberry Pi to identify the object, and a micro vibrating motor to indicate the location of the object. The visually impaired person uses the speech module's built-in microphone to issue voice commands. An approach that uses object detection to find the object is used to locate it. By giving visually impaired people a hands-free means to find objects in enclosed places, the proposed smart glove has the potential to greatly improve their daily life. Hence an efficient and user-friendly system is planned to build by combining computer vision, voice recognition, and haptic feedback technology.}, added-at = {2023-05-05T17:14:57.000+0200}, author = {Casey and Sharath and Sathwik and Janishia and Dr.Pradeep}, biburl = {https://www.bibsonomy.org/bibtex/2a82eb1cc4b14463d3a103b7173631a79/ijiris}, description = {The proposed system helps the blind person for getting the desired object using PyTorch and YoloV5. The main components for experimental set up in this model are Raspberry Pi, Pi Cam, ReSpeaker 2-Mics Pi HAT and Vibrator motor. Based on the experiments conducted, there are a few advantages and limitations in this work. One of the key advantages is that it can communicate with blind people using the voice module. The voice module uses simple, easy instructions that can be understood by the user. The limitation is that it is not able to detect the obstacles present in the environment. Furthermore, this vision glove can only be used by blind people but not blind and deaf people.}, doi = {10.26562/ijiris.2023.v1001.01}, interhash = {027dd08df2d8e70580fa3fac2b6061fc}, intrahash = {a82eb1cc4b14463d3a103b7173631a79}, issn = {2349-7017}, journal = {International Journal of Innovative Research in Information Security}, keywords = {cover cryptography image security steganography}, language = {English}, month = {April 2023}, note = {[1]. A.Sairohan, Dr.K.V.Ranga Rao, V.Sridhar “Smart gloves for real time applications,” vol. 11, pp. (2021). [2]. Girish Gajanan Mulye “Advance Glove for Blind,” IJSR, vol. pp (2020). [3]. Somashekar V, Manohar R, Ashwini M S, Praveen V, Sushmitha M “Smart glove for blind using TensorFlow,” IRJET, vol. 7, pp. (2020) [4]. Arsh.A.Ghate, Vishal.G.Chavan “Smart gloves for blind,” IRJET, vol. 4, pp. (2017). [5]. Hiranya Peiris, Charitha Kulasekara, HashanWijesinghe, Basiru Kothalawala, Namalie Walgampaya, Dharshana Kasthurirathna “Eye Vista: An assistive wearable device for visually impaired sprint athletes,” IEEE vol* pp.,(2016)}, number = 01, pages = {01-06}, timestamp = {2023-05-05T17:14:57.000+0200}, title = {Vision Gloves for Blinds}, url = {http://www.ijiris.com/volumes/Vol10/iss-01/01.APIS10081.pdf}, volume = 10, year = 2023 }