scholarly journals Application of infrared vision system for potato thermal control

2018 ◽  
Vol 1084 ◽  
pp. 012002 ◽  
Author(s):  
A Churikov ◽  
A Divin ◽  
A Egorov ◽  
L Podestà
Keyword(s):  
Vision System ◽  
Thermal Control ◽  
Infrared Vision

Surface Defects Detection of Red Jujube Based on Near-Infrared Vision System

2013 ◽  
Vol 303-306 ◽  
pp. 573-577
Author(s):  
Min Xu ◽  
Yue Ma ◽  
Shuai Chen
Keyword(s):  
Machine Vision ◽  
Near Infrared ◽  
Surface Defects ◽  
Vision System ◽  
Infrared Image ◽  
Machine Vision System ◽  
Test Results ◽  
Quality Factors ◽  
Important Quality ◽  
Infrared Vision

Quality evaluation of agricultural and food products is important for processing, inventory control, and marketing. Fruit surface defects are important quality factors for the jujube industry, especially for high quality jujubes such as Xinjiang red jujube. This paper presents the development and test results of a machine vision system for automatic jujube surface defects detection. Unlike other near-infrared spectrometric approaches, the developed machine vision system uses reflective near-infrared image to evaluate jujube quality by analyzing two-dimensional images. Near-infrared image, vision algorithms and a variety of operational details of the system, including cameras, optics, illumination, and fruit carrier are presented. The complete machine vision system has been built, and the experimental results show that the designed machine vision system is feasible to detect the defects of jujubes.

Urban Road Materials Identification using Narrow Near Infrared Vision System

2017 ◽  
Vol 7 (3) ◽  
pp. 1171
Author(s):  
Heru Purnomo Ipung ◽  
Handayani Tjandrasa
Keyword(s):  
Near Infrared ◽  
Infrared Imaging ◽  
Narrow Band ◽  
Vision System ◽  
Optical Filter ◽  
Urban Road ◽  
Infrared Spectral ◽  
Road Materials ◽  
Spectral Patterns ◽  
Infrared Vision

<p>An urban road materials vision system using narrow band near infrared imaging indexes were proposed. This proposed imaging indexes were enhancement for previous work on autonomous multispectral road sensing method. Each urban road material has different near infrared spectral patterns which is as the base of its spectral identification. The new proposed imaging indexes, which using similar formula of NDVI, was normalized with narrow band near infrared spectrum range of 720nm to 1000nm of wavelength, were used to identify concretes, aggregates/sands/rocks, clay, natural dry fibers and bitumen/asphalt that make up most of urban road materials. This paper proposes imaging indexes evaluation from experiment results to identify those urban road materials. There were seven narrow band optical filter sets with the center spectrum at 710nm, 730nm, 750nm, 800nm, 870nm, 905nm and 970nm. Normalization band used was 720nm using high pass optical filter. The proposed multi-spectral imaging indexes were able to show the potential to classify the selected urban road materials, another approach may need to clearly distinguish between concrete and aggregates. The comparison to the previous imaging indexes (NDVI, NDGR, NDBR) were presented that used for urban road materials identification.</p>

AN INFRARED VISION SYSTEM FOR FIELD ROBOTICS APPLICATIONS

2002 ◽  
Vol 35 (1) ◽  
pp. 7-21
Author(s):  
J.R. Martinez-de Dios ◽  
A. Ollero
Keyword(s):  
Vision System ◽  
Field Robotics ◽  
Infrared Vision

scholarly journals Optical Mouse Sensor for Eye Blink Detection and Pupil Tracking: Application in a Low-Cost Eye-Controlled Pointing Device

2019 ◽  
Vol 2019 ◽  
pp. 1-19
Author(s):  
Marcel Tresanchez ◽  
Tomàs Pallejà ◽  
Jordi Palacín
Keyword(s):  
Vision System ◽  
Low Cost ◽  
New Device ◽  
Human Interface ◽  
Computer Mouse ◽  
Pointing Device ◽  
Blink Detection ◽  
Pupil Tracking ◽  
Infrared Vision ◽  
Optical Mouse

In this paper, a new application of the optical mouse sensor is presented. The optical mouse is used as a main low-cost infrared vision system of a new proposal of a head-mounted human-computer interaction (HCI) device controlled by eye movements. The default optical mouse sensor lens and illumination source are replaced in order to improve its field of view and capture entire eye images. A complementary 8-bit microcontroller is used to acquire and process these images with two optimized algorithms to detect forced eye blinks and pupil displacements which are translated to computer pointer actions. This proposal introduces an inexpensive and approachable plug and play (PnP) device for people with severe disability in the upper extremities, neck, and head. The presented pointing device performs standard computer mouse actions with no extra software required. It uses the human interface device (HID) standard class of the universal serial bus (USB) increasing its compatibility for most computer platforms. This new device approach is aimed at improving comfortability and portability of the current commercial devices with simple installation and calibration. Several performance tests were done with different volunteer users obtaining an average pupil detection error of 0.34 pixels with a successful detection in 82.6% of all mouse events requested by means of pupil tracking.

Object tracking in a stereo and infrared vision system

2007 ◽  
Vol 49 (3) ◽  
pp. 266-271 ◽  
Author(s):  
S. Colantonio ◽  
M. Benvenuti ◽  
M.G. Di Bono ◽  
G. Pieri ◽  
O. Salvetti
Keyword(s):  
Object Tracking ◽  
Vision System ◽  
Infrared Vision

Near-infrared vision system for monitoring arc welding processes

2014 ◽  
Vol 29 (3) ◽  
pp. 187-196 ◽  
Author(s):  
Carolina Pimenta Mota ◽  
Marcus Vinícius Ribeiro Machado ◽  
Roberto Mendes Finzi Neto ◽  
Louriel Oliveira Vilarinho
Keyword(s):  
Arc Welding ◽  
Near Infrared ◽  
Vision System ◽  
Infrared Vision ◽  
Welding Processes

Scanning-probe microscope analysis of optical thin films: A new analytical tool in a manufacturing environment

1994 ◽  
Vol 52 ◽  
pp. 1068-1069
Author(s):  
S. P. Sapers ◽  
R. Clark ◽  
P. Somerville
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Thermal Control ◽  
Scanning Probe Microscope ◽  
Scanning Probe ◽  
List Type ◽  
Manufacturing Environment ◽  
Physical Measurements ◽  
Probe Microscope

OCLI is a leading manufacturer of thin films for optical and thermal control applications. The determination of thin film and substrate topography can be a powerful way to obtain information for deposition process design and control, and about the final thin film device properties. At OCLI we use a scanning probe microscope (SPM) in the analytical lab to obtain qualitative and quantitative data about thin film and substrate surfaces for applications in production and research and development. This manufacturing environment requires a rapid response, and a large degree of flexibility, which poses special challenges for this emerging technology. The types of information the SPM provides can be broken into three categories:(1)Imaging of surface topography for visualization purposes, especially for samples that are not SEM compatible due to size or material constraints;(2)Examination of sample surface features to make physical measurements such as surface roughness, lateral feature spacing, grain size, and surface area;(3)Determination of physical properties such as surface compliance, i.e. “hardness”, surface frictional forces, surface electrical properties.

A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology

2004 ◽  
Author(s):  
Michael D. Byrne ◽  
Alex Kirlik ◽  
Michael D. Fleetwood ◽  
David G. Huss ◽  
Alex Kosorukoff ◽  
...  
Keyword(s):  
Closed Loop ◽  
Vision System ◽  
Modeling Approach ◽  
Synthetic Vision
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