Inventory Management System at Home Using Yolo Algorithm
Authors
Kavitha Kannan1, *, Sanjay Sekar2, Rajnish Jaisankar3, Nandhakumar Saravanan4, Sabari Ramesh5
1dept. of ECE, Panimalar Engineering College, Chennai, India
2dept. of ECE, Panimalar Engineering College, Chennai, India
3dept. of ECE, Panimalar Engineering College, Chennai, India
4dept. of ECE, Panimalar Engineering College, Chennai, India
5dept. of ECE, Panimalar Engineering College, Chennai, India
*Corresponding author.
Email: kavithakavi2394@gmail.com
Corresponding Author
Kavitha Kannan
Available Online 17 October 2023.
- DOI
- 10.2991/978-94-6463-250-7_26How to use a DOI?
- Keywords
- IOT; Raspberry pi; Camera; Inventory
- Abstract
In this project, we demonstrate an effective method for controlling the inventory for numerous applications involving tangible or movable assets. Inventory management is made more effective by automating tasks that would otherwise require extra labour and utilising IOT-based inventory management. The concept makes use of a camera and a computer that can connect to the Internet, like a Raspberry Pi, to measure the inventory and manage daily demands.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kavitha Kannan AU - Sanjay Sekar AU - Rajnish Jaisankar AU - Nandhakumar Saravanan AU - Sabari Ramesh PY - 2023 DA - 2023/10/17 TI - Inventory Management System at Home Using Yolo Algorithm BT - Proceedings of the 6th International Conference on Intelligent Computing (ICIC-6 2023) PB - Atlantis Press SP - 142 EP - 149 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-250-7_26 DO - 10.2991/978-94-6463-250-7_26 ID - Kannan2023 ER -