Assisting the visually impaired people using image processing

Assisting the visually impaired people using image processing

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Bibliografiske detaljer
Main Authors:	Rahman, Ferdousi, Ritun, Israt Jahan, Farhin, Nafisa
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2018
Fag:	Visually impaired OpenCV Image processing Object detection Face detection YOLO algorithm Deep learning Computer network architectures. Computer algorithms.
Online adgang:	http://hdl.handle.net/10361/10949

Lignende værker

Staircase and escalator detection for visually impaired
af: Zereen, Aniqua Nusrat
Udgivet: (2017)

Monitoring driver awareness through eye tracking
af: Chowdhury, Faiaz Hossain, et al.
Udgivet: (2021)

Automated drug detection and location identification for visually impaired using image processing and voice commands
af: Roy, Utshab, et al.
Udgivet: (2018)

OpenCV 2 computer vision application programming cookbook : over 50 recipes to master this library of programming functions for real-time computer vision /
af: Laganière,R
Udgivet: (2011)

Dynamic object recognition and command detection for assisting blind people using image processing techniques
af: Tahsin, Labeba, et al.
Udgivet: (2020)

Point of care detection of anemia in non-invasive manner by using image processing and convolutional neural network with mobile devices
af: Rahman, Md. Nafis Nakib, et al.
Udgivet: (2021)

Identification and comparative analysis of potholes using image processing algorithms
af: Anik, Fahim Shahriare, et al.
Udgivet: (2018)

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

Football offside tracking
af: Mitu, Ishrat Jahan, et al.
Udgivet: (2023)

An ambient assisted living system for Alzheimer’s patients
af: Abedin, Minhajul, et al.
Udgivet: (2023)

License plate recognition
af: Chowdhury, Mohammed Abrar Ahasan, et al.
Udgivet: (2023)

Design and implementation of a blind stick integrated with sensors and audio assistance for visually impaired people
af: Amin, Md. Al, et al.
Udgivet: (2024)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
af: Datta, Anurag, et al.
Udgivet: (2022)

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

Brain tumor detection through image processing
af: Azmim, Tahaziba, et al.
Udgivet: (2021)

Monitoring of endangered fish using image processing and AI tools
af: Hossain, Naheen, et al.
Udgivet: (2019)

Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
af: Mahmud, Moinuddin, et al.
Udgivet: (2019)

Cognitive load detection of vision impaired in the inward places using Bio-signal
af: Kabir, Raiyan, et al.
Udgivet: (2020)

A hybrid fake banknote detection model using OCR, face recognition and hough features
af: Zarin, Adiba, et al.
Udgivet: (2018)

Cancer detection using image processing techniques based on cell counting, cell area measurement and clump detection
af: Pavel, Monirul Islam, et al.
Udgivet: (2018)

Analysis of deep learning models on low-light pest detection
af: Irtiza, Md. Samin, et al.
Udgivet: (2023)

A comparative study of object detection models for Real Time Application in Surveillance Systems
af: Alam, Saimun, et al.
Udgivet: (2022)

Pedestrian crossing guide based on Android-Cloud platform for blind people
af: Hasan, Anik, et al.
Udgivet: (2014)

Cloud based smart route system for blinds
af: Nijhum, Mushfikunnabi, et al.
Udgivet: (2021)

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
af: Sanjana, Jasia, et al.
Udgivet: (2024)

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)

Hardware architecture design of face recognition system based on FPGA
af: Mondol, Raktim Kumar, et al.
Udgivet: (2016)

Brain image fMRI data classification and graphical representation of visual object
af: Tasneem, Nazifa Afroza, et al.
Udgivet: (2019)

Intelligent Character Recognition system for visually impaired people
af: Alam, Md. Sabbir, et al.
Udgivet: (2018)

D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
af: Dipro, Farhan Hasin, et al.
Udgivet: (2024)

Detecting anomalies in human eyes using structural similarity index measurement
af: Jahan, Monwar, et al.
Udgivet: (2019)

Bangla optical character recognition from printed text using Tesseract Engine
af: Faruque, MD Yamin, et al.
Udgivet: (2021)

An IoT based smart stick for blind and visually impaired person
af: Sultana, Nigar
Udgivet: (2022)

SWT and SIFT based copy-move image forgery detection
af: Das, Taposh, et al.
Udgivet: (2018)

Suspicious human-movement detection
af: Biswas, Amlan, et al.
Udgivet: (2018)

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

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
af: Hossain, Mainul, et al.
Udgivet: (2022)

A hybrid fake banknote detection model using OCR, face recognition and hough features
af: Zarin, Adiba, et al.
Udgivet: (2019)