Scientific Research Publishing

BCN-YOLO: A Deep Learning Network for PCB Defect Detection ()

To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Frontiers

Deep learning-based object detection for environmental monitoring using big data

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...
Frontiers

Deep learning object detection-based early detection of lung cancer

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
IEEE

Real Time Object Distance and Dimension Measurement using Deep Learning and OpenCV

Abstract: Deep learning is a subset of machine learning based on artificial neural networks in which multiple layers of processing are used to extract progressively higher-level features from data.
GitHub

Object Detection using OpenCV and SSD MobileNet

Uses SSD MobileNet v3 for real-time object detection. Displays detected objects with confidence scores. Uses OpenCV to process video frames from the webcam. Starts the webcam and captures video. Runs ...
IEEE

Object Detection in Images and Videos Using OpenCV: A Comparative Study of Deep Learning and Traditional Computer Vision Techniques

Abstract: Using OpenCV, this research compares the performance of deep learning with standard computer vision approaches for detecting object in photos and videos. Recognizing and localizing objects ...
GitHub

deep learning object detection

2018/9/18 - update all of recent papers and make some diagram about history of object detection using deep learning. 2018/9/26 - update codes of papers. (official and unofficial) 2018/october - update ...