A Low-Cost Spot Laser and Camera System for Fluorescent Dye Detection of Agricultural Aircraft Pattern Collection Strings

2018 ◽  
Vol 34 (1) ◽  
pp. 187-193
Author(s):  
Randy R. Price
Keyword(s):  
Detection System ◽  
Spray Deposition ◽  
Low Cost ◽  
Visual Assessment ◽  
Green Laser ◽  
Numerical Comparison ◽  
Aerial Application ◽  
Camera System ◽  
Web Camera ◽  
Cost Components

Abstract. A low-cost dye detection system was developed for pattern testing agricultural aircraft. The system uses a green laser pointer, a USB web camera outfitted with a standard rhodamine filter, and software to threshold the images. When arranged in a 90° illumination chamber, the system was able to detect spray patterns on strings that matched patterns derived from a standard WRK fluorometer system with a numerical comparison of 85% and a coefficient of variation of 17%. Visual assessment indicated an 86% match and all major peaks, valleys, and patterns were correctly indicated. A field test with the system indicated that correct airplane adjustments were possible with the system and advantages include that it is easy-to-build, composed of low-cost components, and the operator can see the string fluorescence during analysis. This system may provide an alternate dye detection system for pattern testing strings from agricultural aircraft. Keywords: Aerial application, Collectors, Fluorescence, Lasers, Spray Deposition.

scholarly journals Optical Tracking System

2015 ◽  
Vol 61 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Gernot Korak ◽  
Gernot Kucera
Keyword(s):  
Tracking System ◽  
Low Cost ◽  
Industrial Robots ◽  
Optical Tracking ◽  
Process Chain ◽  
Optical Tracking System ◽  
Camera System ◽  
Ethernet Connection ◽  
Cost Components ◽  
Selection Of

Abstract The presented optical tracking system allows intuitive controlling and programming of industrial robots by demonstration. The system is engineered with low cost components. Using an active marker (IR-LEDs) in combination with a stereo vision configuration of the camera system and the selection of suitable algorithms for the process chain of the image processing a positioning accuracy in the range of millimeters has been achieved. The communication between the tracking system and the robot is realized by using the TCP/IP protocol via an Ethernet connection.

scholarly journals New Blood Level Measurement System in Blood Separating Machine

2014 ◽  
Vol 18 (2) ◽  
pp. 75
Author(s):  
Miloš Petković ◽  
Miroslav Božić ◽  
Dragiša Popović ◽  
Darko Todorović ◽  
Goran S. Đorđević
Keyword(s):  
System Integration ◽  
Detection System ◽  
Low Cost ◽  
Separation Process ◽  
Level Measurement ◽  
Custom Made ◽  
Web Camera ◽  
Color Sensors ◽  
Usb Camera ◽  
Processing Solution

Standard versions of blood separators typically usemedium-price color sensors for a detection of a boundary levelbetween red blood cells and plasma, at the last gate – at hoseclamps. Discrete number of sensors is related to a number ofsignificant levels to be detected thus making blood separationpotentially faulty and unreliable. Our target was to makeflexible, low cost replacement for level detection system that canbe easily integrated into the existing product. We came up withan image processing solution that uses USB web-camera, ARMbased off-the-shelf board – BeagleBone black and free OpenCVlibrary. Flexibility is held in much higher, selectable number oflevels, freely positioned USB camera and brand-free independentprocessing platform, as well as semi-automatic calibrationsystem. By adding minimum additional electronics, we managedto integrate our solution into existing Blood processing machine.In conclusion, we added a new value to the machine at lower costin production, increasing measurement frequency and resolutionneeded for improvement of blood separation process. Next step isto try to use two USB cameras on a custom-made board, forsimultaneous level detection on two-channel blood separator,bringing the system integration to the higher level.

Low-cost Smart Camera System for Water Stress Detection in Crops

2020 ◽  
Author(s):  
Paula Ramos-Giraldo ◽  
S. Chris Reberg-Horton ◽  
Steven Mirsky ◽  
Edgar Lobaton ◽  
Anna M. Locke ◽  
...  
Keyword(s):  
Water Stress ◽  
Low Cost ◽  
Smart Camera ◽  
Stress Detection ◽  
Camera System

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

Development of a method for detecting trace metals in aqueous solutions based on the coordination chemistry of hexahydrotriazines

The Analyst ◽  
2015 ◽  
Vol 140 (15) ◽  
pp. 5184-5189 ◽  
Author(s):  
Rudy J. Wojtecki ◽  
Alexander Y. Yuen ◽  
Thomas G. Zimmerman ◽  
Gavin O. Jones ◽  
Hans W. Horn ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Coordination Chemistry ◽  
Trace Metals ◽  
Aqueous Solutions ◽  
Detection System ◽  
Low Cost ◽  
System P ◽  
Chemical Indicator

The detection of trace amounts (<10 ppb) of heavy metals in aqueous solutions is described using hexahydrotriazines as a chemical indicator and a low cost fluorimeter-based detection system.

Design of a low-cost detection system for laser-induced plasma spectroscopy

1999 ◽  
Vol 70 (9) ◽  
pp. 3519-3522 ◽  
Author(s):  
R. E. Neuhauser ◽  
B. Ferstl ◽  
C. Haisch ◽  
U. Panne ◽  
R. Niessner
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Plasma Spectroscopy ◽  
Laser Induced Plasma
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