A Multiview Recognition Method of Predefined Objects for Robot Assembly Using Deep Learning and Its Implementation on an FPGA
The process of recognizing manufacturing parts in real time requires fast, accurate, small, and low-power-consumption sensors. Here, we describe a method to extract descriptors from several objects observed from a wide range of angles in a three-dimensional space. These descriptors define the datase...
Main Authors: | Victor Lomas-Barrie, Ricardo Silva-Flores, Antonio Neme, Mario Pena-Cabrera |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/11/5/696 |
Similar Items
-
Perbandingan Arsitektur LeNet dan AlexNet Pada Metode Convolutional Neural Network Untuk Pengenalan American Sign Language
by: Muhammad Ezar Al Rivan, et al.
Published: (2021-06-01) -
Recognition of Cursive Pashto Optical Digits and Characters with Trio Deep Learning Neural Network Models
by: Muhammad Zubair Rehman, et al.
Published: (2021-10-01) -
Artificial Intelligence-Assisted Edge Computing for Wide Area Monitoring
by: Bin Hu, et al.
Published: (2023-01-01) -
A computational classification method of breast cancer images using the VGGNet model
by: Abdullah Khan, et al.
Published: (2022-11-01) -
A Novel Ensemble Based Reduced Overfitting Model with Convolutional Neural Network for Traffic Sign Recognition System
by: Anantha Babu Shanmugavel, et al.
Published: (2023-02-01)