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Object Detection for Blind people

  • Unique Paper ID: 165739
  • Volume: 11
  • Issue: 1
  • PageNo: 1804-1807
  • Abstract:
  • Even with canes or sticks, walking independently is challenging for blind individuals. They must constantly have someone or trained dogs accompany them to the areas they must go; nonetheless, there may be occasions when no supervisor is present and they become stuck because of their limited mobility. This is the problem that this smart glass solves. Depth estimate and object identification form the basis of its methodology. This method looks for possible risks along a walk path, noting the object's kind and distance from the user. It then alerts the user to the danger, enabling them to roam around freely without constant supervision. An algorithm measures the object's distance from the model once it has detected it. The project "Object Detection for Blind People Using Raspberry Pi and Video Camera Sensor" intends to create a system that will help people who are blind identify and detect objects in their environment. Real-time video footage will be captured by the system utilizing a Raspberry Pi and a video camera sensor, and object detection algorithms will be used to process the footage. The user will be able to navigate and interact with their surroundings more skillfully thanks to the audio feedback that identifies and communicates the discovered things. The independence and safety of people with vision impairments in their daily lives could be greatly enhanced by this research.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 1
  • PageNo: 1804-1807

Object Detection for Blind people

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8.01 (Year 2024)
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Journal no 47859

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