Detection classification and cutting of fruits and vegetables using tensorflow algorithm

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents automatic fruit and vegetable recognition and chopping mechanism. This work aims to reduce the time taken for cutting fruits and vegetables in a large kitchen. This mechanism has two parts. The first part of the system is based on image processing, which consists of capturing an image of the object, comparing it with the images stored in the database, and identification of objects. For doing this, Tensor flow algorithm is used and the accuracy obtained is more than 90%. The second part of the project is the segregation of the fruits/vegetables and cutting them depending on the requirement.

Cite

CITATION STYLE

APA

D’Souza, R. M. D., Deepthi, S. R., & Shri, K. A. (2021). Detection classification and cutting of fruits and vegetables using tensorflow algorithm. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 53, pp. 713–720). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-15-5258-8_66

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free