Benchmark analysis of jetson tx2, jetson nano and raspberry pi using deep-cnn

AA Süzen, B Duman, B Şen - 2020 International Congress on …, 2020 - ieeexplore.ieee.org
Hardware, low power consumption, high accuracy and performance are crucial factors for
deep learning applications. High level graphics processing units (GPU) are commonly used …

A review of embedded machine learning based on hardware, application, and sensing scheme

A Biglari, W Tang - Sensors, 2023 - mdpi.com
Machine learning is an expanding field with an ever-increasing role in everyday life, with its
utility in the industrial, agricultural, and medical sectors being undeniable. Recently, this …

[HTML][HTML] Enhanced computer vision applications with blockchain: A review of applications and opportunities

N Ottakath, A Al-Ali, S Al-Maadeed, O Elharrouss… - Journal of King Saud …, 2023 - Elsevier
Videos and image processing have significantly transformed computer vision, enabling
computers to analyse, and manipulate visual data. The proliferation of cameras and IR …

Benchmark analysis of yolo performance on edge intelligence devices

H Feng, G Mu, S Zhong, P Zhang, T Yuan - Cryptography, 2022 - mdpi.com
In the 5G intelligent edge scenario, more and more accelerator-based single-board
computers (SBCs) with low power consumption and high performance are being used as …

Deep learning framework for vehicle and pedestrian detection in rural roads on an embedded GPU

L Barba-Guaman, J Eugenio Naranjo, A Ortiz - Electronics, 2020 - mdpi.com
Object detection, one of the most fundamental and challenging problems in computer vision.
Nowadays some dedicated embedded systems have emerged as a powerful strategy for …

Cognitive assistant DeepNet model for detection of cardiac arrhythmia

YP Sai, LVR Kumari - Biomedical Signal Processing and Control, 2022 - Elsevier
Deep Learning (DL) has become a topic of study in various applications, including
healthcare. The important factors considered in building a deep learning model are …

Automating visual blockage classification of culverts with deep learning

U Iqbal, J Barthelemy, W Li, P Perez - Applied Sciences, 2021 - mdpi.com
Blockage of culverts by transported debris materials is reported as the salient contributor in
originating urban flash floods. Conventional hydraulic modeling approaches had no success …

Deep learning-based real-time object detection for empty-dish recycling robot

X Yue, H Li, M Shimizu, S Kawamura… - 2022 13th Asian …, 2022 - ieeexplore.ieee.org
The world is facing a shrinking workforce by the sagging birth rate and an aging population.
Robot techniques are one of the best solutions for taking place of humans and overcoming …

Design and implementation of real-time pothole detection using convolutional neural network for IoT smart environment

ID Pratama, RW Sudibyo - 2021 International Electronics …, 2021 - ieeexplore.ieee.org
Road is a transportation infrastructure that has a very important role in supporting the
economic, social and culture as well as various other aspects of community life. Various …

CNN-LSTM Based Deep Learning Application on Jetson Nano: Estimating Electrical Energy Consumption for Future Smart Homes

A Gozuoglu, O Ozgonenel, C Gezegin - Internet of Things, 2024 - Elsevier
Smart home applications have witnessed significant advancements, expanding beyond
lighting control or remote monitoring to more sophisticated functionalities. Our study delves …