A lightweight real-time fault detection system for edge computing, called LiReD, was proposed in this paper. And, a fault detection model for machine was developed based on LSTM recurrent neural networks. The system collected data in real time generated from facilities using a single-board computer and a sensor.
Jun 30, 2018
Sep 1, 2022 · In this paper, we propose a light-weight defect detection system that utilizes pruning techniques to compress the model and can accurately detect defects at a ...
In this paper, we propose a light-weight defect detection system that utilizes pruning techniques to compress the model and can accurately detect defects at a ...
If AI can differentiate defects on the local edge devices, the production efficiency can be significantly improved. In this paper, we propose a light-weight ...
Dec 9, 2024 · LiReD: A Light-Weight Real-Time Fault Detection System for Edge Computing Using LSTM Recurrent Neural Networks. June 2018; Sensors 18(7):2110.
In this paper, we propose a lightweight distributed IDS that exploits the advantages of centralized platforms to train and learn from large amounts of data.
Jun 15, 2024 · In this paper, we propose a lightweight method for capacitor appearance inspection. We use the YOLOv5 (You Only Look Once Version 5) framework, MobileNet as ...
Dec 9, 2024 · In this study, we proposed a lightweight high-performance edge computing solution to achieve rapid and accurate performance in pedestrian ...
A lightweight CNN model is adopted in this scenario to find a balance between defect detection, model training time, memory consumption, computing time and ...
People also ask
How to build a defect detection system?
What is defect detection?
Aug 24, 2024 · This study introduces a lightweight detection method using the Optimized Feature Network with MobileOne-FPN-NASHead (OFN network) OFN network and distillation ...