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Research Article

Blind Assistance System Using Object Detection

Open Access Peer Reviewed

Authors

  • Tanvi Kakade1
  • Dipali Supe2
  • Asim Wahab3
  • Tejaswini Mane4

1234Pimpri Chinchwad Polytechnic Pune, India.

Article Information

DOI
No DOI
Published Online
March-April 2023
Pages
67-68
Article Type
Research Article
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No DOI available for cross-reference

Abstract

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Abstract: Computer Vision impairment or blindness is one such top ten disabilities in humans, and unfortunately, India has the world’s largest visually impaired population. For this we are creating a framework to guide the visually impaired on object detecting and recognition, so that they can navigate without others support, and be safe within their surroundings. In this system the captured image is taken and sent it as input using camera. SSD Architecture is used here for the detection of objects based on deep neural networks to make precise detection.. This input will be given to the software and it will be processed under the COCO datasets which are predefined in the Tensor flow library used as training dataset for the system in general this data set consist of features for nighty percent of real world data objects and using voice assistance packages the software will produce the output in the way of Audio.

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