Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms
The work aims to leverage computer vision and artificial intelligence technologies to quantify key components in food distribution services. Specifically, it focuses on dish counting, content identification, and portion size estimation in a dining hall setting. An RGB camera is employed to capture t...
Saved in:
| Main Authors: | Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7660 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated potato tuber mass estimation and grading with multiangle 2D images
by: Ayush K. Sharma, et al.
Published: (2025-03-01) -
A Review of Visual Estimation Research on Live Pig Weight
by: Zhaoyang Wang, et al.
Published: (2024-11-01) -
High-throughput phenotyping tools for blueberry count, weight, and size estimation based on modified YOLOv5s
by: Xingjian Li, et al.
Published: (2025-01-01) -
Semi-Automated Training of AI Vision Models
by: Mathew G. Pelletier, et al.
Published: (2025-07-01) -
An Improved Pose Estimation Method Based on Projection Vector With Noise Error Uncertainty
by: Jiashan Cui, et al.
Published: (2019-01-01)