A fully-digital processing approach in an infrared target detection system

2009 ◽  
Author(s):  
Lijun Qiu ◽  
Liwei Xu ◽  
Jiaxue Qi ◽  
Bin Li ◽  
Jiqing Yang
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Digital Processing ◽  
Processing Approach

FPGA-Based Configurable Frequency-Diverse Ultrasonic Target-Detection System

2011 ◽  
Vol 58 (3) ◽  
pp. 871-879 ◽  
Author(s):  
Joshua Weber ◽  
Erdal Oruklu ◽  
Jafar Saniie
Keyword(s):  
Target Detection ◽  
Detection System

Fast Automatic Target Detection System Based on a Visible Image Sensor and Ripple Algorithm

2013 ◽  
Vol 13 (7) ◽  
pp. 2720-2728 ◽  
Author(s):  
Jinhui Lan ◽  
Jian Li ◽  
Yong Xiang ◽  
Tonghuan Huang ◽  
Yixin Yin ◽  
...  
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Image Sensor ◽  
Visible Image ◽  
Automatic Target Detection

scholarly journals Vibration-insensitive temperature sensing system based on fluorescence decay and using a digital processing approach

2006 ◽  
Vol 17 (7) ◽  
pp. 2010-2014 ◽  
Author(s):  
H Dong ◽  
W Zhao ◽  
T Sun ◽  
K T V Grattan ◽  
A I Al-Shamma'a ◽  
...  
Keyword(s):  
Digital Processing ◽  
Fluorescence Decay ◽  
Temperature Sensing ◽  
Sensing System ◽  
Processing Approach

scholarly journals Target Detection System (Tds) for Enhancing Security in Ad Hoc Network

2013 ◽  
Vol 4 (5) ◽  
pp. 15-28
Author(s):  
Hoshiyar Singh Kanyal ◽  
Rahamatkar S ◽  
Sharma B.K ◽  
Bhasker Sharma
Keyword(s):  
Target Detection ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Detection System

scholarly journals Improved Performance of Trash Detection and Human Target Detection Systems using Robot Operating System (ROS)

2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Kisron Kisron ◽  
Bima Sena Bayu Dewantara ◽  
Hary Oktavianto
Keyword(s):  
Operating System ◽  
Computer System ◽  
Target Detection ◽  
Detection System ◽  
Computation Time ◽  
Cascade Algorithm ◽  
Histogram Of Oriented Gradient ◽  
Detection Systems ◽  
Improved Performance ◽  
Improved Accuracy

In a visual-based real detection system using computer vision, the most important thing that must be considered is the computation time. In general, a detection system has a heavy algorithm that puts a strain on the performance of a computer system, especially if the computer has to handle two or more different detection processes. This paper presents an effort to improve the performance of the trash detection system and the target partner detection system of a trash bin robot with social interaction capabilities. The trash detection system uses a combination of the Haar Cascade algorithm, Histogram of Oriented Gradient (HOG) and Gray-Level Coocurrence Matrix (GLCM). Meanwhile, the target partner detection system uses a combination of Depth and Histogram of Oriented Gradient (HOG) algorithms. Robotic Operating System (ROS) is used to make each system in separate modules which aim to utilize all available computer system resources while reducing computation time. As a result, the performance obtained by using the ROS platform is a trash detection system capable of running at a speed of 7.003 fps. Meanwhile, the human target detection system is capable of running at a speed of 8,515 fps. In line with the increase in fps, the accuracy also increases to 77%, precision increases to 87,80%, recall increases to 82,75%, and F1-score increases to 85,20% in trash detection, and the human target detection system has also improved accuracy to 81%, %, precision increases to 91,46%, recall increases to 86,20%, and F1-score increases to 88,42%.

Design of highly sensitive space point target detection system

2018 ◽  
Vol 11 (1) ◽  
pp. 115-122 ◽  
Author(s):  
刘 明 LIU Ming ◽  
邓 军 DENG Jun ◽  
冯献飞 FENG Xian-fei ◽  
钱峰松 QIAN Feng-song
Keyword(s):  
Target Detection ◽  
Detection System ◽  
Point Target ◽  
Highly Sensitive ◽  
Space Point ◽  
Point Target Detection

Laser short-range detection system using digital processing

2007 ◽  
Author(s):  
Ping Li ◽  
Kun Li ◽  
Huimin Chen ◽  
Weirong Guo
Keyword(s):  
Short Range ◽  
Detection System ◽  
Digital Processing
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