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Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
(Brac University, 2022-05)
The COVID-19 pandemic has significantly affected day to day lifestyle all over the
planet by disequilibrating social order. It moreover added anxiety about the capability
of the world’s democracies to cope with the vital ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Automated overtaking assistance system: a real-time approach using deep learning techniques
(Brac University, 2023-03)
Road accidents are one of the major causes of fateful deaths in Bangladesh. In most
cases it is caused by Overtaking on highways or on regular roads. In terms of overtaking
the major task is to decide whether the overtaking ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...
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 ...