Smart object detection using deep learning algorithm and jetson nano for blind people

• Main Authors: Tan, Mei Yan, Anis Farihan, Mat Raffei, Mohd Arfian, Ismail
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: QA76 Computer software; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/34212/1/Smart%20object%20detection%20using%20deep%20learning%20algorithm%20and%20jetson%20nano%20for%20blind%20people.CITREX2021..pdf; http://umpir.ump.edu.my/id/eprint/34212/
• Institution: Universiti Malaysia Pahang

Visual impairment is often defined as a best corrected visual acuity of worse than either 20/40 or 20/60. The term blindness is used for complete or nearly complete vision loss. Visual impairment may cause people difficulties with normal daily activities such as driving, reading, socializing and walking. Therefore, this project develops a smart object detection using deep learning algorithm and jetson nano to improve object detection for blind people. Furthermore, an ultrasonic sensor and sound notification are added to the project development to notify blind people if any object located nearest around them.