Browsing by Subject "YOLOv7"
Now showing items 1-11 of 11
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Adaptive traffic signal control using image analysis and AI techniques
(Brac University, 2024-10)Traffic jam is a significant obstacle that makes travel within the city very inconvenient. The systems, such as traffic lights, that are currently in place do not solve this problem. In usual scenario, traffic lights ... -
Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
(Brac University, 2024-05)The advancement of autonomous vehicles requires a fast and effective object detection and segmentation system handling a wide range of road environments. The goal of this research is to improve autonomous navigation by ... -
An ambient assisted living system for Alzheimer’s patients
(Brac University, 2022-09)Alzheimer’s is a brain disorder that gradually deteriorates the brain functions of the patients. As the disease progresses, victims start to lose their memory, thinking ability, eventually rendering them unable to perform ... -
Autonomous object detection dataset: a study on Bangladeshi roadways
(BRAC University, 2024-10)This research aims to enhance object detection in autonomous driving by testing the three new advanced YOLO models, namely, YOLOv5, YOLOv7, and YOLOv8, on a private dataset proposed specifically for Bangladesh. It is ... -
A comprehensive study for predicting eyesight disease using ML
(BRAC University, 2024)From mild to severe distant vision impairment caused by untreated conditions, including cataract, glaucoma, retinal disease, and diabetic retinopathy, more than60% of the world’s population—exceeding 4.5 billion ... -
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 ... -
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 ... -
Real-time crime detection using convolutional LSTM and YOLOv7
(Brac University, 2023-05)The principal goal of this study is to create a crime detection system in real-time that can effectively handle closed-circuit television (CCTV) video feeds and evaluate them for possible criminal occurrences. The system’s ... -
Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
(Brac University, 2023-01)In the era of computer vision to overcome challenges, the introduction of the YOLO model revolutionized real-time computer vision approaches. In the garment industry, the inception of products plays a significant role ... -
Recognising license plate from image data using deep learning
(Brac University, 2022-09-29)Maintaining surveillance and security on the roads has become a significant challenge, which is why it has become necessary to conduct proper methods to control this problem. To ensure security and safety on the roads, ... -
Synergistic application of advanced machine learning and computer vision techniques for the detection of exoplanet and star: leveraging contrastive learning in astronomical imagery
(BRAC University, 2024-11)The detection of exoplanets through direct imaging has become increasingly feasible with the advent of modern telescopes like the James Webb Space Telescope (JWST) and its MIRI coronagraph. These instruments have ...
