An efficient approach for recyclable waste detection and classification using image processing techniques

An efficient approach for recyclable waste detection and classification using image processing techniques

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Dettagli Bibliografici
Autori principali:	Chowdhury, Prabal Kumar, Islam, Md. Aminul, Haque, Md Aminul
Altri autori:	Alam, Md. Ashraful
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	TrashNet Deep learning Object detection Image classification CNN VGG16 Inception-Resnet-v2 MobileNet YOLOv5 YOLOv7 Neural network Image processing Waste products. Image processing.
Accesso online:	http://hdl.handle.net/10361/22092

Documenti analoghi

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
di: Moon, Nowrin Tasnim, et al.
Pubblicazione: (2023)

Citrus leaf disease detection by image processing
di: Chowdhury, Mahir Faisal, et al.
Pubblicazione: (2024)

Automatic waste classification using deep learning and computer vision techniques
di: Akash, MD., et al.
Pubblicazione: (2023)

Deep learning-based real-time pothole detection for avoiding road accident
di: Basher, Rafsan, et al.
Pubblicazione: (2022)

Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
di: Ismail, Sayem Mohammad, et al.
Pubblicazione: (2021)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
di: Rahman, Afridi Ibn, et al.
Pubblicazione: (2022)

Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
di: Hossain, Mohammad Sakib, et al.
Pubblicazione: (2023)

CancerCare: A reliable and secured self-supervising and interactive system using deep learning
di: Khisa, Pushpakali, et al.
Pubblicazione: (2024)

Analyzing students’ concentration in online courses through Webcam
di: Asif, Md., et al.
Pubblicazione: (2024)

Automatic motor vehicle number plate recognition
di: Saha, Krishno, et al.
Pubblicazione: (2024)

Approaching transfer learning to identify correctly worn facial masks
di: Sadid, Tausif, et al.
Pubblicazione: (2021)

Identifying brain abnormalities using image processing and CNN models
di: Talukder, Ismat Shehrin, et al.
Pubblicazione: (2021)

Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
di: Datta, Pranab, et al.
Pubblicazione: (2021)

Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
di: Awwal, Alvina, et al.
Pubblicazione: (2021)

Covid-19 infected lung detection using machine learning
di: Islam, Md. Muntaha, et al.
Pubblicazione: (2022)

Bone age comparison using convolutional neural network
di: Nawaz, Fariha, et al.
Pubblicazione: (2019)

Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
di: Farhan, Rafid, et al.
Pubblicazione: (2024)

Detecting brain tumor using deep neural networks from MRI images
di: Imamuzzaman, A.S.M., et al.
Pubblicazione: (2021)

FoodieCal: a convolutional neural network based food detection and calorie estimation system
di: Mashraf, Chowdhury Zerif, et al.
Pubblicazione: (2021)

MalFam: a comprehensive study on malware families with state-of-the-art CNN architectures with classifications and XAI
di: Haque, Abid Hossain, et al.
Pubblicazione: (2024)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
di: Choudhury, Prionto Kumar, et al.
Pubblicazione: (2024)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
di: Akhter, Nasrin
Pubblicazione: (2023)

Computer vision-based Bengali sign language to text generation
di: Tazalli, Tonjih, et al.
Pubblicazione: (2022)

Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
di: Shahriar, Farhan, et al.
Pubblicazione: (2021)

Retinal Diseases Detection using Deep Learning
di: Mashfi, Shahriar, et al.
Pubblicazione: (2023)

Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
di: Reza, Jamil Ur, et al.
Pubblicazione: (2023)

An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
di: Khan, Farhan Sakib, et al.
Pubblicazione: (2022)

An Efficient deep learning approach to detect Brain Tumor using MRI images
di: Islam, Annur Tasnim, et al.
Pubblicazione: (2022)

Skin disease detection and classification using deep learning
di: Shuvon, Mehedi Hasan, et al.
Pubblicazione: (2022)

Deep learning-based waste classification system for efficient waste management
di: Nakib, Abdullah Al, et al.
Pubblicazione: (2022)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
di: Promita, Samanta Tabassum, et al.
Pubblicazione: (2022)

Skin cancer classification for seven types of skin lesions
di: Rahman, Md. Tawsifur, et al.
Pubblicazione: (2024)

An efficient approach to detect melanoma skin cancer using a custom CNN model
di: Rahman, K.M Saidur, et al.
Pubblicazione: (2023)

Brain tumor segmentation from MRI images using convolutional neural networks
di: Khan, Mushfiqur Rahman
Pubblicazione: (2024)

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
di: Tasnim, Sadia, et al.
Pubblicazione: (2023)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
di: Sani, Mehedi Hasan, et al.
Pubblicazione: (2022)

Recognising license plate from image data using deep learning
di: Golder, Rupam, et al.
Pubblicazione: (2023)

Real-time crime detection using convolutional LSTM and YOLOv7
di: Sakiba, Cyrus, et al.
Pubblicazione: (2023)

Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
di: Uddin, Md. Minhaz, et al.
Pubblicazione: (2023)

Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
di: Mahmud, Ishtiaque, et al.
Pubblicazione: (2024)