Browsing School of Data and Sciences (SDS) by Subject "Object detection"
Now showing items 1-12 of 12
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Analysis of deep learning models on low-light pest detection
(Brac University, 2022-09-28)It is undeniable that in recent years, exceptional progress has been made toward building the most accurate and efficient object detectors. However, existing low- light object detectors still require a substantial amount ... -
Assisting the visually impaired people using image processing
(BRAC University, 2018-07)Visually impaired people face difficulties in safe and independent movement which deprive them from regular professional and social activities in both indoors and outdoors. Similarly they have distress in identification ... -
Automated feedback test generation and functionality testing for UI development with self-guided recommendation
(Brac University, 2023-01)UI development is the most integral part of the Software Development Life Cycle and testing the functionality of the UI is also as much important during the Software Testing Life Cycle of any software project. Without ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
Enhancing underwater object detection through water artifact removal and using ensemble transfer learning
(Brac University, 2023-05)The utilization and exploration of deep-sea resources has made underwater autonomous operation increasingly important to mitigate the dangers of the highpressure deep-sea environment. Intelligent computer vision plays a ... -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)In the innovative era, the problem of recognizing undesirable objects and individuals on conveyor belts is addressed by various architectural or algorithmic approaches. Conveyor belts are those by which things go in a ... -
Monitoring of endangered fish using image processing and AI tools
(Brac University, 2018-12)Marine life constitutes half of earth’s total biodiversity. But preservation and monitoring of them efficiently face setbacks largely due to technological limitations and economic reasons. Technological challenges include ... -
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 ... -
Smart surveillance system for identifying bikers without helmets using deep learning
(Brac University, 2019-08)Modern world is progressing quickly along with technology and one of the major sectors is transportation technology. Day by day the number of people are increasing and the number of vehicles are increasing too. As a ... -
Staircase and escalator detection for visually impaired
(BRAC Univeristy, 2016-06)In this thesis, two different methods are presented for staircase detection. First method works with real time captured still image and second method with real time video. Stairway detection and identification of up stair ... -
Towards solving perception based autonomous driving assistant system
(Brac University, 2021-09)This thesis scrutinizes the problem of perception in the self-driving car system. Selfdriving car is the face of the future and the decade’s research focus. Tech giants like Google, Uber, Tesla, Commai, Intel MobilEye ... -
Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
(Brac University, 2022-01)Bangladesh has been suffering a severe traffic congestion issue ever since it has been on a high paced development roadmap. Researches regarding solving such traffic issue has been in the talks but has never reached a ...