Fire and disaster detection with multimodal quadcopter By machine learning

Fire and disaster detection with multimodal quadcopter By machine learning

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

Bibliografiske detaljer
Main Authors:	Afrin, Anika, Rahman, Md Moshiour, Chowdhury, Ayash Hossain, Eshraq, Mirza, Ukasha, Mehvish Rahman
Andre forfattere:	Rahman, Khalilur
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2023
Fag:	YOLOV5 YOLOV7 Fire detection Disaster detection Sound detection Mapping MiDaS V3 PIX4D mapper Machine learning Quadcopter
Online adgang:	http://hdl.handle.net/10361/20208

Lignende værker

Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
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Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
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An ambient assisted living system for Alzheimer’s patients
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Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
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Udgivet: (2024)

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

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

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

An efficient approach for recyclable waste detection and classification using image processing techniques
af: Chowdhury, Prabal Kumar, et al.
Udgivet: (2024)

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

Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
af: Kaisar, Sazeed, et al.
Udgivet: (2024)

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

Real-time obscene scene nudity detection and blurring in a video clip
af: Rizwana, Jesima, et al.
Udgivet: (2023)

Delay in completion of fire protection and detection work
af: Brac University
Udgivet: (2023)

Instruction to start the work at BRACU new campus project (Fire detection & fire protection)
af: Brac University
Udgivet: (2023)

Instruction to start the work of fire detection & fire protection at BRACU new campus project
af: Brac University
Udgivet: (2023)

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

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
af: Mostafa, Tanzim, et al.
Udgivet: (2022)

Instruction to ensure safety & security at BRACU new campus project (BTCL)
af: Brac University
Udgivet: (2023)

Automated feedback test generation and functionality testing for UI development with self-guided recommendation
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Udgivet: (2023)

Embedded real time blink detection system with heart rate sensing for driver fatigue monitoring
af: Habiba, Umme Saira, et al.
Udgivet: (2018)

A comparative study of traffic detection using Google map (GPS) and IoV
af: Alam, Mohd. Touhedul, et al.
Udgivet: (2023)

Gene expression analysis using machine learning
af: Mostafa, Naﬁs
Udgivet: (2021)

Design and development of IoT based comprehensive system for emergency assistance
af: Habib, Sahriar, et al.
Udgivet: (2021)

Punches in the walls and slabs are being kept as per submitted drawing
af: Brac University
Udgivet: (2023)

Is Bangladesh’s RMG industry on its way to recovery?
af: Chowdhury, Fahim S., et al.
Udgivet: (2020)

Dark Channel Prior (DCP) based Bangla car plate detection and recognition in foggy weather
af: Nasim, Hamim Ibne, et al.
Udgivet: (2024)

Early fire detection using enhanced optical flow analysis technique
af: Khondaker, Arnisha, et al.
Udgivet: (2018)

Fault detection in waste water treatment plant using statistical analysis & machine learning
af: Haque, Md. Ezazul, et al.
Udgivet: (2019)

Smoke detection using image processing
af: Sarker, Md. Kamrujjaman
Udgivet: (2018)

The Da Vinci code : a novel /
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Udgivet: (2003)

Automated intruder detection from image sequences using minimum volume sets
af: Ahmed, Tarem, et al.
Udgivet: (2016)

Content based image search in openstack swift
af: Ali Uday, Mir Rownak, et al.
Udgivet: (2024)

Intelligent parking system using machine learning
af: Abrar, Md. Ishtiak, et al.
Udgivet: (2023)

An automated system for disaster management based on BRAC standard operating procedures (SOP)
af: Shoujanya, Rehnuma, et al.
Udgivet: (2015)

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction
af: Khan, Rubayat Ahmed
Udgivet: (2022)

Design of Arduino based home automation systems incorporating identity detection
af: Islam, Md. Wasif, et al.
Udgivet: (2018)

Development of intelligent home security system
af: Islam, Sayedul, et al.
Udgivet: (2017)

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
af: Anik, Md. Kamrul Islam
Udgivet: (2016)

Real time action recognition from video footage
af: Apon, Tasnim Sakib, et al.
Udgivet: (2021)

Design and development of disinfecting robot for academic institutions
af: Puspita, Afrin Hossain, et al.
Udgivet: (2024)