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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP6043

Survey on Object Detection Techniques

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP6043

Volume:

6 |

6 |

Jun 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SAS

Shrikant A. Shinde

AM

Akshay Mali

AT

Aniket Thorat

SK

Sourabh Khot

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Abstract

Image classification is assigning a class label to an image on the other hand object localization requires drawing a bounding box around one or more objects in an image. Object detection is more difficult and combines these two tasks and draws a bounding box around each object of interest in the image and assigns them a class label. All this is referred to as object recognition. The proposed smart cart allows the customer to shop without any friction. A product that is picked and placed in the cart by the customer is recognized by the cart with help of sensors. Using yolo for product recognition and other sensors the data is fused. The type, quantity and weight is automatically calculated and displayed on the screen present above the cart. Customer can also remove an item from the cart which will be immediately reflected in the virtual cart. Based on the customers shopping history recommendations can be suggested also an instore map is provided. Barcode’s don’t need to be scanned or searched. By simply picking an item and moving on allows the customer to shop quickly and easily while not worrying about waiting in the checkout lines. After the shopping is complete the bill is generated and paid by the customer using online methods.

KEYWORDS

Yolo Object Detection

Cite This Article

Shrikant A. Shinde, Akshay Mali, Aniket Thorat, Sourabh Khot, "Survey on Object Detection Techniques," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 6, Jun 2022.

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Publication Date

6/15/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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