Communication Dans Un Congrès Année : 2024

Real-Time Pig Counting Embedded System via Video Object Detection and Tracking

Résumé

Pig farming currently plays a significant role in providing food for humans. However, as farms grow larger, exporting becomes increasingly challenging, especially in terms of accurately counting the number of pigs. With manual counting methods, the rising number of pigs leads to human errors, increased labor costs, and long counting times that can stall the export process. Experimental results show that even farm owners struggle to control the export quantities due to limitations in statistical tracking and verification. In this study, we develop a real-time pig counting embedded system that uses object detection and tracking from a camera in the counting zone to overcome inefficiencies in traditional pig-counting methods on farms. Our system also provides a simple web application to store pig counting results including quantities and videos, provides statistical charts to visualize those data. Our system uses YOLOv5 for object detection and a novel IndexTrack algorithm for object tracking, which was designed specifically for deployment on an NVIDIA Jetson Xavier NX embedded board. This system directly solves the problems of human counting errors and long counting times in manual methods. Our experiment results show that the system provides a lightweight method that is capable of functioning in a real-world environment and is effective in terms of both accuracy and execution time (real-time execution), even when some pigs pass through the counting zone back and forth.

Fichier principal
Vignette du fichier
manh2024atc.pdf (6.18 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-05516566 , version 1 (11-03-2026)

Licence

Identifiants

Citer

Duc-Manh Nguyen, Duc-Hai Do, Thanh-Hai Tran, Quang-Trung Luu. Real-Time Pig Counting Embedded System via Video Object Detection and Tracking. 2024 International Conference on Advanced Technologies for Communications (ATC), Oct 2024, Ho Chi Minh City, France. pp.655-660, ⟨10.1109/ATC63255.2024.10908322⟩. ⟨hal-05516566⟩
11 Consultations
53 Téléchargements

Altmetric

Partager

  • More