Object detection recognition and robot grasping based on machine learning: A survey

Q Bai, S Li, J Yang, Q Song, Z Li, X Zhang - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

FPGA-based implementation of classification techniques: A survey

A Saidi, SB Othman, M Dhouibi, SB Saoud - Integration, 2021 - Elsevier
Recently, a number of classification techniques have been introduced. However, processing
large dataset in a reasonable time has become a major challenge. This made classification …

Real world object detection dataset for quadcopter unmanned aerial vehicle detection

M Pawełczyk, M Wojtyra - IEEE Access, 2020 - ieeexplore.ieee.org
Recent years have shown a noticeable rise in the number of incidents with drones, related to
both civilian and military installations. While drone neutralization techniques have become …

A low-power analog integrated implementation of the support vector machine algorithm with on-chip learning tested on a bearing fault application

V Alimisis, G Gennis, M Gourdouparis, C Dimas… - Sensors, 2023 - mdpi.com
A novel analog integrated implementation of a hardware-friendly support vector machine
algorithm that can be a part of a classification system is presented in this work. The utilized …

A survey of FPGA-based vision systems for autonomous cars

D Castells-Rufas, V Ngo, J Borrego-Carazo… - IEEE …, 2022 - ieeexplore.ieee.org
On the road to making self-driving cars a reality, academic and industrial researchers are
working hard to continue to increase safety while meeting technical and regulatory …

Fast Iris localization using Haar-like features and AdaBoost algorithm

YN Lin, TY Hsieh, JJ Huang, CY Yang… - Multimedia Tools and …, 2020 - Springer
Traditional iris recognition methods, which are still preferred against artificial intelligence (AI)
approaches in practical applications, are often required to capture high-grade iris samples …

Identification of extremely similar animal fibers based on matched filter and HOG-SVM

W Xing, N Deng, B Xin, Y Liu, Y Chen, Z Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Identification of extremely similar animal fibers has always been one of the challenging
research topics in the textile field. In this paper, an improved image-based recognition …

Road Accident Prevention System

T Hovorushchenko, O Pavlova… - 2023 13th …, 2023 - ieeexplore.ieee.org
In the modern world, road safety remains a relevant issue as the number of vehicles on the
road continues to grow. The alarming statistics of accidents, injuries and fatalities …

[HTML][HTML] Exploration of advanced computer technology to address analytical and noise improvement issues in machine learning

TC Hsu, YH Tsai, WCC Chu, S Chen, HL Tsai… - Journal of Systems and …, 2023 - Elsevier
Computer-based visual recognition technology combined with deep learning enables
accurate image matching through interactive, multi-level comparison. Currently, popular …

FPGA-based object detection processor with HOG feature and SVM classifier

F An, P Xu, Z Xiao, C Wang - 2019 32nd IEEE International …, 2019 - ieeexplore.ieee.org
Computer vision is an important sensing technique to translate the information to decisions.
In robotic applications, object detection is a critical skill to perform tasks for robots in complex …