Abstract
This paper has presented an object detection algorithm to assist people with vision issues. Blind people depend on others because it is very difficult for them to carry out daily tasks. People who are visually challenged frequently carry a white cane or guide dogs to help them see any impediments in their path. The proposed system can recognize objects in front of the blind person. For object detection and obstacle avoidance, the design includes a camera and an advanced image processing algorithm. This technology can be used in real time as it is so fast in detecting objects. This paper has successfully shown an algorithm for object detection of various objects which can be applied in the future work. There have been so many assisted devices available for the blind but challenge lies in how fast is the real-time object detection. The algorithm presented in this paper is faster than the algorithms that were presented earlier for object detection for assistive aids for blinds.
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Shaik, T.B., Mal, R. (2024). Algorithm to Assist Visually Impaired Person for Object Detection in Real Time. In: Gabbouj, M., Pandey, S.S., Garg, H.K., Hazra, R. (eds) Emerging Electronics and Automation. E2A 2022. Lecture Notes in Electrical Engineering, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-99-6855-8_12
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