Oculus: A Smart Wearable for the Visually Impaired

Akash James, Ashish Raman Nayak, Sai Somanath Komanduri, Ujwal P., Prof. Ashwin Kumar U.M.


Oculus is a smart wearable that focuses on assisting the visually impaired. It provides features such as Object detection, face classification, classification of Indian currency, environment summarization, and Optical character recognition. All these features are made available to the user through the use of a myriad of technologies such as TensorFlow, MQTT, Tesseract, and OpenCV. The wearable device utilizes a Raspberry Pi interfaced with a Pi camera as the computational unit, which is used to record the surroundings and this video is streamed to server. The results are relayed back to the user through voice using Google Speech Engine. Due to this amalgamation, Oculus proves to be a reliable augmentation to the user.


Deep Learning; FaceNet; Google Speech Engine; Image Classification; Inception; Natural Language Processing; Object Detection;Optical Character Recognition; Raspberry Pi 3; Smart Wearable; TensorFlow; Visually Impaired;

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DOI: https://doi.org/10.26483/ijarcs.v9i0.6212


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