Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites

Population growth and climate change lead agricultural cultures to face environmental degradation and rising of resistant diseases and pests. These conditions result in reduced product quality and increasing risk of harmful toxicity to human health. Thus, the prediction of the occurrence of diseases and pests and the consequent avoidance of the erroneous use of phytosanitary products will contribute to improving food quality and safety and environmental land protection. This study presents the design and construction of a low-cost IoT sensor mesh that enables the remote measurement of parameters of large-scale orchards. The developed remote monitoring system transmits all monitored data to a central node via LoRaWAN technology. To make the system nodes fully autonomous, the individual nodes were designed to be solar-powered and to require low energy consumption. To improve the user experience, a web interface and a mobile application were developed, which allow the monitored information to be viewed in real-time. Several experimental tests were performed in an olive orchard under different environmental conditions. The results indicate an adequate precision and reliability of the system and show that the system is fully adequate to be placed in remote orchards located at a considerable distance from networks, being able to provide real-time parameters monitoring of both tree and the surrounding environment.

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The dynamic connectome: towards large-scale 3D reconstruction of brain activity in real-time

BMC Neuroscience ◽

10.1186/1471-2202-14-s1-p407 ◽

2013 ◽

Vol 14 (Suppl 1) ◽

pp. P407 ◽

Cited By ~ 1

Author(s):

Xerxes D Arsiwalla ◽

Alberto Betella ◽

Enrique Martinez ◽

Pedro Omedas ◽

Riccardo Zucca ◽

...

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Large Scale ◽

Brain Activity

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A Poisson Equation-Based Method for 3D Reconstruction of Animated Images

Advances in Mathematical Physics ◽

10.1155/2021/1547630 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Ziang Lei

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Large Scale ◽

Least Square ◽

Reconstruction Method ◽

Feature Points ◽

Computing Power ◽

To Come ◽

Point Detection ◽

Considerable Period

3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. In this paper, we propose a 3D reconstruction method for multivisual animated images based on Poisson’s equation theory. The calibration theory is used to calibrate the multivisual animated images, obtain the internal and external parameters of the camera calibration module, extract the feature points from the animated images of each viewpoint by using the corner point detection operator, then match and correct the extracted feature points by using the least square median method, and complete the 3D reconstruction of the multivisual animated images. The experimental results show that the proposed method can obtain the 3D reconstruction results of multivisual animation images quickly and accurately and has certain real-time and reliability.

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Fast and low-cost detection of SARS-CoV-2 peptides by tandem mass spectrometry in clinical samples

10.21203/rs.3.rs-28883/v1 ◽

2020 ◽

Cited By ~ 8

Author(s):

Karina Helena Morais Cardozo ◽

Adriana Lebkuchen ◽

Guilherme Goncalves Okai ◽

Rodrigo Andrade Schuch ◽

Luciana Godoy Viana ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Low Cost ◽

Large Population ◽

Virus Detection ◽

Standard Test ◽

Clinical Samples ◽

Rt Pcr ◽

Reverse Transcription Pcr ◽

Fast Processing

Abstract The current outbreak of severe acute respiratory syndrome associated with coronavirus 2 (SARS-CoV-2) is pressing public health systems around the world, and large population testing is a key step to control this pandemic disease. Real-time reverse-transcription PCR (real-time RT-PCR) is the gold standard test for virus detection but the soaring demand for this test resulted in shortage of reagents and instruments, severely limiting its applicability to large-scale screening. To be used either as an alternative, or as a complement, to real-time RT-PCR testing, we developed a high-throughput targeted proteomics assay to detect SARS-CoV-2 proteins directly from clinical respiratory tract samples. Sample preparation was fully automated by using a modified magnetic particle-based proteomics approach implemented on a robotic liquid handler, enabling a fast processing of samples. The use of turbulent flow chromatography included four times multiplexed on-line sample cleanup and UPLC separation. MS/MS detection of three peptides from SARS-CoV-2 nucleoprotein and a 15N-labeled internal global standard was achieved within 2.5 min, enabling the analysis of more than 500 samples per day. The method was validated using 562 specimens previously analyzed by real-time RT-PCR and was able to detect over 83% of positive cases. No interference was found with samples from common respiratory viruses, including other coronaviruses (NL63, OC43, HKU1, and 229E). The strategy here presented has high sample stability and low cost and should be considered as an option to large population testing.

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SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence

IEEE Transactions on Visualization and Computer Graphics ◽

10.1109/tvcg.2019.2899231 ◽

2019 ◽

Vol 25 (5) ◽

pp. 2102-2112 ◽

Cited By ~ 14

Author(s):

Patrick Stotko ◽

Stefan Krumpen ◽

Matthias B. Hullin ◽

Michael Weinmann ◽

Reinhard Klein

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Large Scale

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A Low-Cost Solution for 3D Reconstruction of Large-Scale Specular Objects

10.1364/cosi.2021.cw4h.3 ◽

2021 ◽

Author(s):

Yunhao Li ◽

Chia-Kai Yeh ◽

Bingjie Xu ◽

Florian Schiffers ◽

Marc Walton ◽

...

Keyword(s):

3D Reconstruction ◽

Large Scale ◽

Low Cost ◽

Specular Objects

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A 3D Reconstruction Method Using Multisensor Fusion in Large-Scale Indoor Scenes

Complexity ◽

10.1155/2020/6973790 ◽

2020 ◽

Vol 2020 ◽

pp. 1-14

Author(s):

Panlong Gu ◽

Fengyu Zhou ◽

Dianguo Yu ◽

Fang Wan ◽

Wei Wang ◽

...

Keyword(s):

3D Reconstruction ◽

Real Time ◽

Large Scale ◽

Reconstruction Method ◽

Loop Closure ◽

Mapping Algorithm ◽

Localization And Mapping ◽

Indoor Scenes ◽

Slam Algorithm ◽

Robot Position

RGBD camera-based VSLAM (Visual Simultaneous Localization and Mapping) algorithm is usually applied to assist robots with real-time mapping. However, due to the limited measuring principle, accuracy, and distance of the equipped camera, this algorithm has typical disadvantages in the large and dynamic scenes with complex lightings, such as poor mapping accuracy, easy loss of robot position, and much cost on computing resources. Regarding these issues, this paper proposes a new method of 3D interior construction, which combines laser radar and an RGBD camera. Meanwhile, it is developed based on the Cartographer laser SLAM algorithm. The proposed method mainly takes two steps. The first step is to do the 3D reconstruction using the Cartographer algorithm and RGBD camera. It firstly applies the Cartographer algorithm to calculate the pose of the RGBD camera and to generate a submap. Then, a real-time 3D point cloud generated by using the RGBD camera is inserted into the submap, and the real-time interior construction is finished. The second step is to improve Cartographer loop-closure quality by the visual loop-closure for the sake of correcting the generated map. Compared with traditional methods in large-scale indoor scenes, the proposed algorithm in this paper shows higher precision, faster speed, and stronger robustness in such contexts, especially with complex light and dynamic objects, respectively.

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Vertical MEMS Resonators for Real-Time Clock Applications

Journal of Sensors ◽

10.1155/2010/362439 ◽

2010 ◽

Vol 2010 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

A. Pomarico ◽

A. Morea ◽

P. Flora ◽

G. Roselli ◽

E. Lasalandra

Keyword(s):

Real Time ◽

High Performance ◽

Large Scale ◽

Low Cost ◽

Frequency Stability ◽

Equivalent Resistance ◽

Real Time Clock ◽

Mems Resonator ◽

Mems Resonators ◽

Frequency Tunable

MEMS resonators are today widely investigated as a desirable alternative to quartz resonators in real-time clock applications, because of their low-cost, integration capability properties. Nevertheless, MEMS resonators performances are still not competitive, especially in terms of frequency stability and device equivalent resistance (and, then, power consumption). We propose a new structure for a MEMS resonator, with a vertical-like transduction mechanism, which exhibits promising features. The vertical resonator can be fabricated with the low-cost, high performance THELMA technology, and it is designed to be efficiently frequency tunable. With respect to the commonly investigated lateral resonators, it is expected to have lower equivalent resistances and improved large-scale repeatability characteristics.

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Fast and low-cost detection of SARS-CoV-2 peptides by tandem mass spectrometry in clinical samples

10.21203/rs.3.rs-28883/v2 ◽

2020 ◽

Cited By ~ 1

Author(s):

Karina Helena Morais Cardozo ◽

Adriana Lebkuchen ◽

Guilherme Goncalves Okai ◽

Rodrigo Andrade Schuch ◽

Luciana Godoy Viana ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

Low Cost ◽

Large Population ◽

Virus Detection ◽

Standard Test ◽

Clinical Samples ◽

Rt Pcr ◽

Reverse Transcription Pcr ◽

Fast Processing

Abstract The current outbreak of severe acute respiratory syndrome associated with coronavirus 2 (SARS-CoV-2) is pressing public health systems around the world, and large population testing is a key step to control this pandemic disease. Real-time reverse-transcription PCR (real-time RT-PCR) is the gold standard test for virus detection but the soaring demand for this test resulted in shortage of reagents and instruments, severely limiting its applicability to large-scale screening. To be used either as an alternative, or as a complement, to real-time RT-PCR testing, we developed a high-throughput targeted proteomics assay to detect SARS-CoV-2 proteins directly from clinical respiratory tract samples. Sample preparation was fully automated by using a modified magnetic particle-based proteomics approach implemented on a robotic liquid handler, enabling a fast processing of samples. The use of turbulent flow chromatography included four times multiplexed on-line sample cleanup and UPLC separation. MS/MS detection of three peptides from SARS-CoV-2 nucleoprotein and a 15N-labeled internal global standard was achieved within 2.5 min, enabling the analysis of more than 500 samples per day. The method was validated using 562 specimens previously analyzed by real-time RT-PCR and was able to detect over 83% of positive cases. No interference was found with samples from common respiratory viruses, including other coronaviruses (NL63, OC43, HKU1, and 229E). The strategy here presented has high sample stability and low cost and should be considered as an option to large population testing.

Download Full-text