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Title: :  Grocery items detection using Android studio
PaperId: :  19977
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-19977
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
THANUSH MErode sengunthar engineering college
ROHINI JErode sengunthar engineering college
UTHIRAMOORTHI K Erode sengunthar engineering college
VIGNESH M Erode sengunthar engineering college

Abstract

Computer science and engineering
MOBILE APPLICATION
In grocery stores, product supply management is critical to employee productivity. Finding the right time to update an item in terms of design/replenishment requires real-time data on item availability. As a result, goods are always available on the shelf when customers need them. This study focuses on product display management in grocery stores to determine the specific products and their quantities on the shelves. Using deep learning (DL) to determine and identify each item, the warehouse manager compares each identified item to the previously created configured item plan. We used You Only Look Once version 5 (YOLOV5) for product detection and used both shape and size features and color features for product detection to reduce false product detection. Experimental results were performed using the dataset. Analysis shows that the proposed approach improved accuracy, precision and recall. Product recognition can shorten defect dates by including color features. It is useful to distinguish identical logos with different colors. You can achieve a functional level 75, reputation level 81 accuracy percentage. We've created a new solution that can reduce checkout and billing times by 50%. What if all the products a customer purchased together were scanned using this algorithm in less than a minute? This algorithm has excellent accuracy, precision and recognition and is considered the best algorithm used in item recognition.

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IJARIIE THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . "Grocery items detection using Android studio" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 92-97
MLA THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . "Grocery items detection using Android studio." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 92-97.
APA THANUSH M, ROHINI J, UTHIRAMOORTHI K , & VIGNESH M . (2023). Grocery items detection using Android studio. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 92-97.
Chicago THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . "Grocery items detection using Android studio." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 92-97.
Oxford THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . 'Grocery items detection using Android studio', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 92-97. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Grocery_items_detection_using_Android_studio_ijariie19977.pdf (Accessed : ).
Harvard THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . (2023) 'Grocery items detection using Android studio', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 92-97IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Grocery_items_detection_using_Android_studio_ijariie19977.pdf (Accessed : )
IEEE THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M , "Grocery items detection using Android studio," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 92-97, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Grocery_items_detection_using_Android_studio_ijariie19977.pdf [Accessed : ].
Turabian THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . "Grocery items detection using Android studio." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver THANUSH M, ROHINI J, UTHIRAMOORTHI K , and VIGNESH M . Grocery items detection using Android studio. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 92-97. Available from: https://ijariie.com/AdminUploadPdf/Grocery_items_detection_using_Android_studio_ijariie19977.pdf
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