Ground-Buried Fiber-Optic Sensors for Object Identification | Journal
Abstract Currently available perimeter-security systems use ground-buried fiber-optic sensors to detect objects on the ground surface, and some of them compare the observed signal
HOME / Fiber Optic Sensor Identification of Texture Maps - Umele Photonics & Micro-Optics Europe
Abstract Currently available perimeter-security systems use ground-buried fiber-optic sensors to detect objects on the ground surface, and some of them compare the observed signal
This study addresses the bionic requirements for tactile sensors to identify surface topography features primarily characterized by hardness and surface flatness. We present a novel
This paper describes a novel tactile sensor using a hetero-core fiber optic sensor for detecting particular tactile information of surface texture and hardness. The hetero-core fiber optic
In this paper, we are tackling the problem of tactile active texture recognition (see Fig. 1). With no pre-training, a robot is given a ''reference'' texture and asked to identify it among four comparison textures
However, vision is often limited since the viewing angle is uncertain during manipulation. In this article, we propose a fine surface texture detection
Three machine learning algorithms and a deep learning algorithm are established to analyze and process the vibration data of different materials to achieve texture
This paper describes a novel tactile sensor using a hetero-core fiber optic sensor for detecting particular tactile information of surface texture and
The correlation model between the frequency spec-trum of the distributed optical fiber vibration signal and the type of water absorption profile is obtained through the training of the XGBoost algorithm. It
A fiber optic sensor system is described for non-contact measurement of surface texture. The sensor employs a fiber optic guide and lens arrangement that forms an interferometric cavity
However, the spatial resolution of these tactile sensing arrays is too low to detect microscale texture features; the sizes of the sensing elements are
The Fiber Optic Sensing Association (FOSA) is dedicated to accelerating the use of distributed and quasi-distributed optical fiber sensing technologies. Fiber optic sensing works by measuring changes
Figure 1 shows the realization process of the optical fiber vibration signal identification method which moved from traditional machine learning to one-dimensional and two-dimensional
Distributed acoustic sensing (DAS) using fiber-optic cables enables high-resolution subsurface imaging, which can explain the observed site amplification of earthquake shaking.
Optical fiber sensor''s utilization is gaining momentum in different fields such as telecommunications, medical diagnostics, and structural health monitoring due to their high sensitivity, wide bandwidth,
Its impact extends beyond enhancing sensor performance by introducing innovative problem-solving approaches. Specifically, ML algorithms have become instrumental in signal
The absence of tactile force information at the tip of a medical instrument makes precise minimally invasive surgery difficult and is prone to resulting in serious outcomes. In this paper, a fiber
Fiber optic sensing works by measuring changes in the “backscattering” of light occurring in an optical fiber when the fiber encounters vibration, strain or temperature change.