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Automated drug detection and location identification for visually impaired using image processing and voice commands
(BRAC University, 2017-12)
This report proposed a system which will aid visually impaired to detect and locate medicine (drug)
using voice commands. It is a challenge to build a system which will assist a person how has eye
sight difficulties. So ...
Tuberculosis diagnosis through image processing
(BRAC University, 2017)
Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...
Navigational system analysis using image processing for visually impaired
(BRAC University, 2016-03)
Blindness is a severe disease that limits a person’s ability to navigate their surroundings
properly. Usually using a crane has been the only solution for blind people so far, which is a
solution not suitable to detect ...
Inflamed appendix detection from laparoscopic video footage using edge detection and morphological image processing
(BRAC University, 8/21/2017)
In the world of surgical instruments laparoscopy has a vital space. Laparoscopic surgery is also called minimally invasive surgery technique where operations are performed through small incision elsewhere in the body. ...
Bangla text extraction by digital image processing
(2017-12)
Optical character recognition (OCR) is a technology to extract the text from an image.
The main purpose of an OCR is to make editable text documents from different scanned
documents, image files or books. In this paper, ...
Image processing through terminal using voice and text commands
(BRAC University, 12/14/2017)
We proposed a new approach of image processing based on terminal using voice and text
commands. Any terminal in operating system has a purpose which is doing tasks in a very short
time. In the proposed method a terminal ...
A new pattern recognition method for abnormal event detection in crowded scenarios
(BRAC University, 4/18/2017)
We propose an autonomous video surveillance system which analyzes surveillance footages of extremely crowded scenes and detects abnormal events. For any particular scenario, any event that diverts from the usual pattern ...
Pedestrian crossing guide based on Android-Cloud platform for blind people
(BRAC University, 2014)
This paper presents an automatic system which can detect road traffic and let blind people know about that so that they can easily cross the road. In the recent years, Android-driven mobile phones have got popularity among ...
Tuberculosis diagnosis through image processing
(BRAC University, 2017)
Tuberculosis is most common contagious disease. Nowadays, millions of human beings of the world are suffering from it. We will use the most used worldwide method Ziehl-Neelsen stain (ZN-stain) to detect Tuberculosis which ...
Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
(BRAC University, 2018)
The capital of Bangladesh, Dhaka, is one of the most densely populated cities in the world, sits atop the world’s largest river delta at close to sea level, which can trigger a massive earthquake resulting in death of ...