Touchless System for Fruits Sorting and Packaging in Shops

Authors

  • Apoorva Khened
  • Harshad N. Lokhande
  • Pratiksha Gote

DOI:

https://doi.org/10.46243/jst.2021.v6.i04.pp107-113

Keywords:

COVID-19, Robotics, Deep learning, Image Detection

Abstract

The time required to discover the product and ready with inside the lengthy queue for checkout of the shops is a common problem in our everyday lives. The automatic shop is the answer proposed to such problems. These shops are significant for each financial and social development because it reduces the efforts of guide operation and is time- saving. This system is a need of an hour these days since Covid-19 denies us to make direct contact with fruits or vegetables. Now-a-days deep learning gives evolution with brilliant performance in object detection. This paper gives solution as, robotics based totally automatic shop which uses deep learning to classify the products which helps to save our efforts and time. The Mobile-Net is used to detection of fruits on 2 classes with 85% accuracy in detection. Robotics combined with virtual technology inclusive of picture detection, cloud and analytics, makes the structures correct and supplies more modern efficiencies.

 

 

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Published

2021-08-16

How to Cite

Apoorva Khened, Harshad N. Lokhande, & Pratiksha Gote. (2021). Touchless System for Fruits Sorting and Packaging in Shops. Journal of Science & Technology (JST), 6(Special Issue 1), 107–113. https://doi.org/10.46243/jst.2021.v6.i04.pp107-113