Mar 14, 2023 · To reduce safety accidents during coal mining, a large foreign object detection method based on machine vision is proposed in this paper. An adaptive weighted multi-scale Retinex (MSR) image enhancement algorithm is proposed to improve the captured image quality of the belt conveyor line.

To achieve rapid detection of metal foreign objects, this paper proposes a metal foreign object detection method for wireless charging systems based on collaborative optimization of machine vision and auxiliary coils.

In this article, we proposed a novel work to detect foreign objects based on real-time video input. We localize the objects present in the inappropriate location from the continuous input frame. Zeitler et al. (2010) designed folded reflect arrays (FRA) with shaped beam patterns for FOD detection on runways.

Sep 6, 2024 · To address the performance and deployment issues of foreign object intrusion detection algorithms in the context of open railways, an improved network based on the YOLOv7-tiny algorithm is proposed, namely the SBG-YOLO network.

Sep 10, 2022 · A key study area for minimizing longitudinal belt tears with the advancement of machine learning is how to use machine vision technology to detect foreign items on the belt. In this study, the real-time detection of foreign items on belt conveyors is accomplished using a machine vision method.

Aiming at these problems, this paper makes a comparative study on the application of yolov5 and fast RCNN in railway foreign object intrusion detection. First, the train and test dataset was established by image preprocessing, data cleaning and data labeling of UAV aerial images.

Abstract: An improved method for detecting Foreign Object Debris (FOD) in a runway environment is presented in this paper. The method involves implementing detection model based on deep learning algorithm which can classify and detect object with high accuracy i.e mean Average Precision (mAP).

Apr 25, 2024 · Machine vision technology, particularly object recognition technology, has been widely employed to identify foreign objects in transmission line images. Despite its wide application, the technique faces limitations due to the complex environmental background and other auxiliary factors.

Jun 23, 2022 · Foreign object detection in manufacturing processes based on machine vision remains a challenge. The vastly different foreign objects and the complex background, as well as the scarcity of images with foreign objects constrain the application of traditional and deep learning methods, respectively.

Jun 14, 2024 · To overcome these limitations, we present a novel mobile camera-based FOD detection framework. The framework integrates an open-world model that utilizes a state-of-the-art YOLOv7 object detector, effectively handling both ID and OOD samples.