Real-Time Fruit Detection and Recognition for Smart Refrigerator-Reference-Cited by-同舟云学术

Real-Time Fruit Detection and Recognition for Smart Refrigerator

Published:2023 Issue: Volume: Page:727-738
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Patil Aparna Aravind,Bartakke Prashant

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-5974-7_58

Reference14 articles.

1. Kwon T, Park E, Chang H (2015) Food image recognition using deep convolution network with pre-trained and fine tuning. In: IEEE international conference on multimedia and Expo workshop’s (ICMEW)

2. Mai X, Zhang H, Meng MQ-H (2018) Faster R-CNN with classifier fusion for small fruit detection. In: 2018 IEEE international conference on robotics and automation (ICRA). IEEE

3. Sakai Y et al (2016) A vegetable category recognition system using deep neural network. In: 2016 10th international conference on innovative mobile and internet services in ubiquitous computing (IMIS). IEEE

4. Mallikarjun BC, Harshitha S, Harshita BK, Bhavani S, Tarwey S (2020) Smart refrigerator: an IOT and machine learning based approach. In: 2020 international conference for emerging technology (INCET)

5. Ren S, He K, Girshick R, Sun J (2017) Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell 39(6)

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