activity
20202025
most citedVibration Analysis in Bearings for Failure Prevention using CNN

52 citations · 118 across the 11 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 13 cited

Dense Crowds Detection and Counting with a Lightweight Architecture

Javier Antonio Gonzalez-Trejo, Diego Alberto Mercado-Ravell

In the context of crowd counting, most of the works have focused on improving the accuracy without regard to the performance leading to algorithms that are not suitable for embedde…

eess.AS2020★ 52 cited

Vibration Analysis in Bearings for Failure Prevention using CNN

Luis A. Pinedo-Sanchez, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais

Timely failure detection for bearings is of great importance to prevent economic loses in the industry. In this article we propose a method based on Convolutional Neural Networks (…

cs.CV2020★ 19 cited

On the safety of vulnerable road users by cyclist orientation detection using Deep Learning

Marichelo Garcia-Venegas, Diego A. Mercado-Ravell, Carlos A. Carballo-Monsivais

In this work, orientation detection using Deep Learning is acknowledged for a particularly vulnerable class of road users,the cyclists. Knowing the cyclists' orientation is of grea…

cs.HC2020★ 7 cited

Implementation of a Natural User Interface to Command a Drone

Brandon Yam-Viramontes, Diego Mercado-Ravell

In this work, we propose the use of a Natural User Interface (NUI) through body gestures using the open source library OpenPose, looking for a more dynamic and intuitive way to con…

cs.CV2020★ 12 cited

Dense Crowds Detection and Surveillance with Drones using Density Maps

Javier Gonzalez-Trejo, Diego Mercado-Ravell

Detecting and Counting people in a human crowd from a moving drone present challenging problems that arisefrom the constant changing in the image perspective andcamera angle. In th…