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Real-time Bangla License Plate Recognition System for Low Resource Video-based Applications [article]

Alif Ashrafee, Akib Mohammed Khan, Mohammad Sabik Irbaz, MD Abdullah Al Nasim
2021 arXiv   pre-print
We used a haar-cascade classifier as a filter on top of our backbone MobileNet SSDv2 detection model.  ...  We trained our models on the image dataset and achieved an AP(0.5) score of 86% and tested our pipeline on the video dataset and observed reasonable detection and recognition performance (82.7% detection  ...  . • Stage 2: Secondly, we use an object detection module MobileNet SSDv2.  ... 
arXiv:2108.08339v3 fatcat:z22pwf4rxrcx5fu62drofohzzm

Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training

John Estrada, Sidike Paheding, Xiaoli Yang, Quamar Niyaz
2022 Applied Sciences  
A deep neural network model, namely MobileNet-SSD v2, is implemented for equipment detection using TensorFlow's object detection API.  ...  Deep learning (DL) algorithms have achieved significantly high performance in object detection tasks.  ...  Object Detection Framework MobileNet-SSDv2 [26] architecture was used to build a deep neural network model to detect electrical lab equipment.  ... 
doi:10.3390/app12105159 fatcat:vj6vdsjvn5f4vm7lg35hq7pk7u

Object Detection using Deep Learning Approach

Moloy Dhar
2022 International Journal for Research in Applied Science and Engineering Technology  
In this research, we propose a method for identifying an object using the pretrained deep learning model MobileNet for Single Shot Multi-Box Detector (SSD).  ...  object identification method called SSD, as well as the significance of a pre-trained deep learning model called MobileNet.To perform this challenge of detecting an item in an image or video, I used OpenCV  ...  the detection performance of the proposed Mobilenet-SSDv2 detector.  ... 
doi:10.22214/ijraset.2022.44417 fatcat:5g2wpwbusnfj5pyqxqv5c2cnea