Varsha Kshirsagar

ORCID: 0000-0003-4520-9580
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About
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Research Areas
  • Currency Recognition and Detection
  • Industrial Vision Systems and Defect Detection
  • Image and Object Detection Techniques
  • Hand Gesture Recognition Systems
  • Video Analysis and Summarization
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Face and Expression Recognition

Institute of Infrastructure Technology Research and Management
2020-2023

In the proposed work, initially, YOLO algorithm is used to extract and classify objects in a frame. sequence of frames, due various reasons confidence measure suddenly drops. This changes class an object consecutive frames which affects tracking counting process severely. To overcome this limitation algorithm, it modified enable track same efficiently frames. will turn increase accuracy. work drastic change scores are identified by particular These outliers detected removed using RANSAC...

10.1109/tla.2023.10068842 article EN IEEE Latin America Transactions 2023-03-01

An efficient product packing system through a simplified automatic counting and collecting process is critical aspect of the manufacturing industry. In present paper, we propose real-time tool for simultaneous collection objects into different bins using machine vision. The employs minimum distance classifier object detection, Counting on conveyor belt done by tracking Euclidian distances between centroids in successive frames. Furthermore, required number carried out two steps. first step,...

10.1109/jsen.2023.3267101 article EN IEEE Sensors Journal 2023-04-19
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