Abstract
This is an android-based system for object detection. It provides object detection in the near area for video challenged users. Object detection is the process of detecting and defining objects of a certain known class in an image. This system helps visually impaired people to identify any objects in his or her environment like a cars, house, cat, dog, chair, table, phone, laptop etc. Here, we have explored the possibility of implementing object detector on an ubiquities mobile devices powdered by Android capable of maintaining real time frame rate while keeping high precision using Tensorflow Object detection API and pretrained ssd mobilenet v2 model. This system proven to be more efficient for object detecting challenged people.
Citations
IRE Journals:
Jimoh Babatunde Olawale
"Development of an Object Detection in Live Video Using Tensorflow" Iconic Research And Engineering Journals Volume 6 Issue 7 2023 Page 594-600
IEEE:
Jimoh Babatunde Olawale
"Development of an Object Detection in Live Video Using Tensorflow" Iconic Research And Engineering Journals, 6(7)
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