Low cost referenced luminescent imaging of oxygen and pH with a 2-CCD colour near infrared camera

The number of flat monitors from televisions, notebooks and tablets has increased dramatically in recent years, thus resulting in a corresponding rise in Waste from Electrical and Electronic Equipment (WEEE). This fact is linked to the production of new high-performance electronic devices. Taking into account a future volume growth trend of WEEE, the implementation of adequate recycling architectures embedding recognition/classification logics to handle the collected WEEE physical-chemical attributes, is thus necessary. These integrated hardware and software architectures should be efficient, reliable, low cost, and capable of performing detection/control actions to assess: i) WEEE composition and ii) physical-chemical attributes of the resulting recovered flow streams. This information is fundamental in setting up and implementing appropriate recycling actions. In this study, a hierarchical classification modelling approach, based on Near InfraRed (NIR) - Hyperspectral Imaging (HSI), was carried out. More in detail, a 3-step hierarchical modelling procedure was designed, implemented and set up in order to recognize different materials present in a specific WEEE stream: End-of-Life (EoL) shredded monitors and flat screens. By adopting the proposed approach, different categories are correctly recognized. The results obtained showed how the proposed approach not only allows the set up of a “one shot” quality control system, but also contributes towards improving the sorting process.

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Near infrared hyperspectral imaging-based approach for end-of-life flat monitors recycling

at - Automatisierungstechnik ◽

10.1515/auto-2019-0058 ◽

2020 ◽

Vol 68 (4) ◽

pp. 265-276 ◽

Cited By ~ 1

Author(s):

Giuseppe Bonifazi ◽

Riccardo Gasbarrone ◽

Roberta Palmieri ◽

Silvia Serranti

Keyword(s):

End Of Life ◽

Hyperspectral Imaging ◽

Near Infrared ◽

Low Cost ◽

Rapid Change ◽

Identification Approach ◽

Important Amount ◽

Chemical Attributes ◽

Improved Performance ◽

Set Up

AbstractThe technological innovation and the relentless marketing of new electronic products with improved performance generate increasing quantities of Waste from Electrical and Electronic Equipment (WEEE). In this scenario, End-Of-Life (EOL) flat monitors and screens represent a category generating, as a consequence of the rapid change in technology, an important amount of waste. Considering future estimations, the implementation of an adequate recycling infrastructure is necessary. An efficient, reliable and low-cost analytical tool is thus needed to perform detection/control actions in order to assess: i) waste composition and ii) physical-chemical attributes of the resulting materials. The knowledge of these information is a requirement to set-up and to implement correct recycling actions.In this study, a cascade identification approach, based on Near InfraRed (NIR) – HyperSpectral Imaging (HSI), was carried out. More in detail, a four-steps classification was designed, implemented and set-up in order to recognize different materials occurring in a specific WEEE stream: EOL milled monitors and flat screens. Adopting the proposed approach, different material categories are correctly recognized and classified. Obtained results can be useful not only to set-up a quality control system, but also to improve sorting actions in this specific recycling sector.

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Near -infrared transillumination imaging of veins using low -cost camera and scattering suppression - validation of practicality of developed system

Science and Technology Development Journal ◽

10.32508/stdj.v20ik3.1094 ◽

2017 ◽

Vol 20 (K3) ◽

pp. 67-73

Author(s):

Nghia Trung Tran ◽

Ni Van To Phan ◽

Tu Anh Tran ◽

Kohei Yamamoto ◽

Takeshi Namita ◽

...

Keyword(s):

Near Infrared ◽

Low Cost ◽

Animal Experiments ◽

Ccd Camera ◽

The Body ◽

Turbid Medium ◽

System A ◽

Identification Technique ◽

Palm Vein ◽

Strong Scattering

Near-infrared (NIR) transillumination imaging is useful in many biomedical applications such as human biometrics and animal experiments. However, the image quality is generally poor due to the strong scattering in the body tissue. The authentication using the transillumination image of the palm vein and the finger vein is common these days, but there are some problems left such as misidentification and unidentifiability. To solve these problems with a simpler system than common ones, we have attempted to develop a biometric identification technique using the NIR transillumination and scattering suppression techniques. An array of LED's was placed at one side of the palm and a transillumination image was obtained with a low-cost CCD camera at another side of the palm. The image was processed by the deconvolution with the appropriate point spread function (PSF). The PSF was originally derived from the diffusion approximation of transport equation for the light source in turbid medium. We found that it can be applied for the scattering suppression in transillumination imaging of absorbing structure inside turbid medium. Even with the simple system, a clear vein image which was sufficient for authentication was obtained successfully.

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Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

Polish Journal of Medical Physics and Engineering ◽

10.2478/pjmpe-2020-0007 ◽

2020 ◽

Vol 26 (2) ◽

pp. 61-67

Author(s):

Mohammed J. Alwazzan

Keyword(s):

Image Processing ◽

Near Infrared ◽

Detection System ◽

Low Cost ◽

Ccd Camera ◽

Accurate Identification ◽

Image Processing Techniques ◽

A Charge ◽

Processing Techniques ◽

Palm Of The Hand

AbstractDrawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

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Low-cost visible and near-infrared camera on an unmanned aerial vehicle for assessing the herbage biomass and leaf area index in an Italian ryegrass field

Grassland Science ◽

10.1111/grs.12184 ◽

2017 ◽

Vol 64 (2) ◽

pp. 145-150 ◽

Cited By ~ 5

Author(s):

Xinyan Fan ◽

Kensuke Kawamura ◽

Tran Dang Xuan ◽

Norio Yuba ◽

Jihyun Lim ◽

...

Keyword(s):

Leaf Area Index ◽

Leaf Area ◽

Unmanned Aerial Vehicle ◽

Near Infrared ◽

Low Cost ◽

Infrared Camera ◽

Italian Ryegrass ◽

Area Index ◽

Aerial Vehicle

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Angular effect in proximal sensing of leaf-level chlorophyll content using low-cost DIY visible/near-infrared camera

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2020.105765 ◽

2020 ◽

Vol 178 ◽

pp. 105765

Author(s):

Huanhuan Wang ◽

Miao Jiang ◽

Lei Yan ◽

Yunjun Yao ◽

Yu Fu ◽

...

Keyword(s):

Chlorophyll Content ◽

Near Infrared ◽

Low Cost ◽

Infrared Camera ◽

Proximal Sensing ◽

Leaf Level

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UAV-BASED ACQUISITION OF 3D POINT CLOUD – A COMPARISON OF A LOW-COST LASER SCANNER AND SFM-TOOLS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-3-w3-335-2015 ◽

2015 ◽

Vol XL-3/W3 ◽

pp. 335-341 ◽

Cited By ~ 11

Author(s):

D. Mader ◽

R. Blaskow ◽

P. Westfeld ◽

H.-G. Maas

Keyword(s):

Structure From Motion ◽

Point Cloud ◽

Laser Scanning ◽

Near Infrared ◽

Low Cost ◽

Laser Scanner ◽

Infrared Camera ◽

Image Data ◽

3D Point Cloud ◽

Efficient System

The Project ADFEX (Adaptive Federative 3D Exploration of Multi Robot System) pursues the goal to develop a time- and cost-efficient system for exploration and monitoring task of unknown areas or buildings. A fleet of unmanned aerial vehicles equipped with appropriate sensors (laser scanner, RGB camera, near infrared camera, thermal camera) were designed and built. A typical operational scenario may include the exploration of the object or area of investigation by an UAV equipped with a laser scanning range finder to generate a rough point cloud in real time to provide an overview of the object on a ground station as well as an obstacle map. The data about the object enables the path planning for the robot fleet. Subsequently, the object will be captured by a RGB camera mounted on the second flying robot for the generation of a dense and accurate 3D point cloud by using of structure from motion techniques. In addition, the detailed image data serves as basis for a visual damage detection on the investigated building. <br><br> This paper focuses on our experience with use of a low-cost light-weight Hokuyo laser scanner onboard an UAV. The hardware components for laser scanner based 3D point cloud acquisition are discussed, problems are demonstrated and analyzed, and a quantitative analysis of the accuracy potential is shown as well as in comparison with structure from motion-tools presented.

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Weld Seam Deviation Detection Base on Laser Welding Pool’s Centroid

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.690-693.2594 ◽

2013 ◽

Vol 690-693 ◽

pp. 2594-2597

Author(s):

Ren He Zhen

Keyword(s):

Laser Welding ◽

High Speed ◽

Near Infrared ◽

Weld Seam ◽

Welding Process ◽

Infrared Camera ◽

Fiber Laser Welding ◽

Welding Pool ◽

Welding Equipment ◽

Set Up

For detecting weld seams deviation during the industrial actual welding process, IPG YLR-10000 high power fiber laser welding equipment was used during laser welding experiments. A high-speed near-infrared camera was used to capture the dynamic welding pool image sequences. Through studying the change of the features of near-infrared images of the weld pool when the laser beam deviated the weld seam, the centroid of the welding pool could be used as the deviated parameter of the weld seam. The welding pool images coordinates were established, and the ways of rotating and shifting the coordinates were used to build a model to test the welding spots deviation. Finally, the model of the relationship of the actual weld seam deviation and the tested weld seam deviation had been set up by using the regression analysis method. Its validity and feasibility had been tested by analyzing the models correlation R parameters.

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Spatial Distortion Assessments of a Low-Cost Laboratory and Field Hyperspectral Imaging System

Sensors ◽

10.3390/s19194267 ◽

2019 ◽

Vol 19 (19) ◽

pp. 4267

Author(s):

Andrija Krtalić ◽

Vanja Miljković ◽

Dubravko Gajski ◽

Ivan Racetin

Keyword(s):

Hyperspectral Imaging ◽

Near Infrared ◽

Imaging System ◽

Low Cost ◽

Ccd Camera ◽

Hyperspectral Data ◽

Modulation Transfer ◽

Spatial Distortion ◽

Visible Part ◽

Spatial Calibration

This article describes the adaptation of an existing aerial hyperspectral imaging system in a low-cost setup for collecting hyperspectral data in laboratory and field environment and spatial distortion assessments. The imaging spectrometer system consists of an ImSpector V9 hyperspectral pushbroom scanner, PixelFly high performance digital CCD camera, and a subsystem for navigation, position determination and orientation of the system in space, a sensor bracket and control system. The main objective of the paper is to present the system, with all its limitations, and a spatial calibration method. The results of spatial calibration and calculation of modulation transfer function (MTF) are reported along with examples of images collected and potential uses in agronomy. The distortion value rises drastically at the edges of the image in the near-infrared segment, while the results of MTF calculation showed that the image sharpness was equal for the bands from the visible part of the spectrum, and approached Nyquist’s theory of digitalization. In the near-infrared part of the spectrum, the MTF values showed a less sharp decrease in comparison with the visible part. Preliminary image acquisition indicates that this hyperspectral system has potential in agronomic applications.

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