Jan 24, 2024 · (1) We propose a deep learning method to detect rubbish on roads in real time. The method features transfer learning, data augmentation, and ...
In this paper, we propose a method for detecting garbage on roads as our solution to tackle the issue. The proposed model is a deep learning model with an ...
Monitoring Rubbish on Roads in Real Time by Deep Neural Network. Yan Fu Tiaozong Xiao Zichen Xu. Published in: J. Circuits Syst. Comput. (2024). Keyphrases.
The automatic monitoring of road conditions for multiple countries is addressed. · Deep Learning models are trained for detecting road damages in India, Japan, ...
This paper presents a novel multi-initialization model for recognizing road surface damage, eg potholes and cracks, on video using convolutional neural ...
Missing: Rubbish | Show results with:Rubbish
Apr 15, 2022 · The approach was based on a deep neural network architecture integrated with a pre-processing method to ensure real-time performance. The ...
People also search for
Oct 22, 2024 · Real-Time CCTV Based Garbage Detection for Modern Societies using Deep Convolutional Neural Network with Person-Identification.
The proposed algorithm provides acceptably high precision and efficient pothole monitoring solution under different scenarios for the users.
Feb 26, 2024 · This post describes our edge computing and computer vision solution that detects plastic bag contamination in waste collection trucks.
Jun 30, 2024 · This paper proposes a real-time garbage identification system based on a deep CNN architecture with eight distinct classes for the training dataset.
Missing: Rubbish | Show results with:Rubbish