Author Login IJIRT Partner Network (IPN) Login

AUTOMATED WALKING GUIDE FOR VISUALLY CHALLENGED INDIVIDUALS TO IMPROVE THEIR MOBILITY

  • Unique Paper ID: 155272
  • Volume: 9
  • Issue: 1
  • PageNo: 408-416
  • Abstract:
  • This paper has enforced a spectacle model to assist visually impaired individuals with safe and economical walking within the surroundings. The walking guide uses 3 items of ultrasonic sensors to spot the obstacle in each direction, together with front, left, and right. additionally, the system will observe potholes on the paved surface victimization Associate in Nursing ultrasonic sensing element and convolutional neural network (CNN). The CNN runs on an Associate in Nursing embedded controller to spot obstacles on the surface of the road. pictures are to be trained at the start by employing a CNN on a laptop and square measure then classified on the embedded controller in a period of time. The experimental analysis reveals that the planned system has 98.2% accuracy for the front sensing element with a mistake(error) rate of 1.8% once the obstacle is at a 50 cm distance. additionally, the proposed system obtains the accuracy and loss severally for image classification. The experimental study additionally demonstrates that the developed device outperforms outstanding existing works.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 408-416

AUTOMATED WALKING GUIDE FOR VISUALLY CHALLENGED INDIVIDUALS TO IMPROVE THEIR MOBILITY

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry