Feature-Enhanced CenterNet for Small Object Detection in Biodegradable and Non-Biodegradable Auto Segregation
Author(s):
P. Ganesh, Dr. K. Haridas
Keywords:
CenterNet, Biodegradable, Non-Biodegradable, Segregation, FPN
Abstract
Small object detection is a critical task in the context of biodegradable and non-biodegradable waste segregation, where accurate identification and classification can significantly enhance automated waste management systems. This paper presents a novel approach called Feature-Enhanced CenterNet, which integrates advanced feature extraction techniques to improve the detection performance of small objects in cluttered and complex waste environments. By leveraging a robust backbone network combined with feature pyramid networks (FPN) and attention mechanisms, our method enhances the spatial resolution and contextual information of small object features, leading to more precise detections. Extensive experiments on a custom waste segregation dataset demonstrate the superiority of our Feature-Enhanced CenterNet over traditional detection models, particularly in identifying small-sized waste items. The proposed model achieves state-of-the-art performance in terms of both accuracy and efficiency, making it highly suitable for real-time waste sorting applications. The integration of this approach into automated waste management systems promises to streamline the segregation process, reduce human intervention, and promote sustainable waste handling practices.
Article Details
Unique Paper ID: 166023

Publication Volume & Issue: Volume 11, Issue 1

Page(s): 2348 - 2352
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers