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.

Xehetasun bibliografikoak
Egile Nagusiak:	Rahman, Ferdousi, Ritun, Israt Jahan, Farhin, Nafisa
Beste egile batzuk:	Uddin, Jia
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2018
Gaiak:	Visually impaired OpenCV Image processing Object detection Face detection YOLO algorithm Deep learning Computer network architectures. Computer algorithms.
Sarrera elektronikoa:	http://hdl.handle.net/10361/10949

Antzeko izenburuak

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Monitoring driver awareness through eye tracking
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Automated drug detection and location identification for visually impaired using image processing and voice commands
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Football offside tracking
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Design and implementation of a blind stick integrated with sensors and audio assistance for visually impaired people
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Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
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nork: Hossain, Naheen, et al.
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Machine learning approach for face recognition from 3D models generated by multiple 2D angular images
nork: Mahmud, Moinuddin, et al.
Argitaratua: (2019)

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

A hybrid fake banknote detection model using OCR, face recognition and hough features
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Argitaratua: (2018)

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

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

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

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

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

Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
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Argitaratua: (2024)

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

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

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

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

Intelligent Character Recognition system for visually impaired people
nork: Alam, Md. Sabbir, et al.
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D-ARTNET22 V1: a neural network framework against stolen digital artworks getting Non-Fungible Token (NFT) labels
nork: Dipro, Farhan Hasin, et al.
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Detecting anomalies in human eyes using structural similarity index measurement
nork: Jahan, Monwar, et al.
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Bangla optical character recognition from printed text using Tesseract Engine
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An IoT based smart stick for blind and visually impaired person
nork: Sultana, Nigar
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SWT and SIFT based copy-move image forgery detection
nork: Das, Taposh, et al.
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Suspicious human-movement detection
nork: Biswas, Amlan, et al.
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Automated intruder detection from image sequences using minimum volume sets
nork: Ahmed, Tarem, et al.
Argitaratua: (2016)

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

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
nork: Hossain, Mainul, et al.
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A hybrid fake banknote detection model using OCR, face recognition and hough features
nork: Zarin, Adiba, et al.
Argitaratua: (2019)