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ICCCE 2019 pp 39-45 | Cite as

Real Object Detection Using TensorFlow

  • Milind Rane
  • Aseem PatilEmail author
  • Bhushan Barse
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 570)

Abstract

Distinguishing and perceiving objects in unstructured and in addition organized situations is a standout amongst the most difficult undertakings in computer vision and man-made reasoning exploration. This paper presents another computer-based vision hindrance recognition technique for versatile innovation and its applications. Every individual picture pixel is delegated having a place either with an impediment dependent on its appearance. The technique utilizes a solitary focal point webcam camera that performs progressively, and furthermore gives a twofold hindrance picture at high goals. In the versatile mode, the framework continues taking in the presence of the snag amid activity. The framework has been tried effectively in an assortment of situations, inside and outside, making it reasonable for a wide range of obstacles. It likewise reveals to us the kind of impediment which has been distinguished by the framework.

Keywords

Object detection Image edge detection Image segmentation Object recognition Computer vision 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electronics EngineeringVishwakarma Institute of TechnologyPuneIndia

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