scholarly journals AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool

2020 ◽  
Author(s):  
Zexin Chen ◽  
Ruihan Zhang ◽  
Yu Eva Zhang ◽  
Haowen Zhou ◽  
Hao-Shu Fang ◽  
...  
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Behavioral Analysis ◽  
Analysis Tool ◽  
Computational Tools ◽  
Animal Tracking ◽  
Manual Inspection ◽  
Novice Users ◽  
Fully Automatic ◽  
Minimal Hardware

AbstractThe advancement of behavioral analysis in neuroscience has been aided by the development of computational tools1,2. Specifically, computer vision algorithms have emerged as a powerful tool to elevate behavioral research3,4. Yet fully automatic analysis of social behavior remains challenging in two ways. First, existing tools to track and analyze behavior often focus on single animals, not multiple, interacting animals. Second, many available tools are not developed for novice users and require programming experience to run. Here, we unveil a computer vision pipeline called AlphaTracker, which requires minimal hardware requirements and produces reliable tracking of multiple unmarked animals. An easy-to-use user interface further enables manual inspection and curation of results. We demonstrate the practical, real-time advantages of AlphaTracker through the study of multiple, socially-interacting mice.

scholarly journals Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

Agronomy ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 530
Author(s):  
Aneesh A. Chand ◽  
Kushal A. Prasad ◽  
Ellen Mar ◽  
Sanaila Dakai ◽  
Kabir A. Mamun ◽  
...  
Keyword(s):  
Computer Vision ◽  
Storage Tank ◽  
Agricultural Sector ◽  
Pesticide Use ◽  
Vertical Orientation ◽  
Power Profile ◽  
Smart Farming ◽  
Fully Automatic ◽  
Solar Powered ◽  
Spraying Process

Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.

An Integrated Software Procedure to Support Teaching of Radial Inflow Turbine Design

2007 ◽  
Author(s):  
Carlo Cravero ◽  
Martino Marini
Keyword(s):  
Design Analysis ◽  
Design Parameters ◽  
Analysis Tool ◽  
Software Suite ◽  
Computational Tools ◽  
Blade Loading ◽  
Radial Turbine ◽  
Integrated Software ◽  
Turbine Design ◽  
Turbomachinery Design

The authors decided to organize their design/analysis computational tools in an integrated software suite in order to help teaching radial turbine, taking advantage of their research background and a set of codes previously developed. The software is proposed for use during class works and the student can either use a single design/analysis tool or face a complete design loop consisting of iterations between design and analysis tools. The intended users are final year students in mechanical engineering. The codes output are discussed with two practical examples in order to highlight the turbomachinery performance at design and off-design conditions. The above suite gives the student the opportunity of getting used to different concepts (choking, blade loading, performance maps, …) that are encountered in turbomachinery design and of understanding the effects of the main design parameters.

scholarly journals PlantCV v2: Image analysis software for high-throughput plant phenotyping

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e4088 ◽  
Author(s):  
Malia A. Gehan ◽  
Noah Fahlgren ◽  
Arash Abbasi ◽  
Jeffrey C. Berry ◽  
Steven T. Callen ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Analysis ◽  
Image Data ◽  
Plant Phenotyping ◽  
Analysis Software ◽  
Computational Tools ◽  
Landmark Identification ◽  
Plant Image ◽  
Leaf Segmentation

Systems for collecting image data in conjunction with computer vision techniques are a powerful tool for increasing the temporal resolution at which plant phenotypes can be measured non-destructively. Computational tools that are flexible and extendable are needed to address the diversity of plant phenotyping problems. We previously described the Plant Computer Vision (PlantCV) software package, which is an image processing toolkit for plant phenotyping analysis. The goal of the PlantCV project is to develop a set of modular, reusable, and repurposable tools for plant image analysis that are open-source and community-developed. Here we present the details and rationale for major developments in the second major release of PlantCV. In addition to overall improvements in the organization of the PlantCV project, new functionality includes a set of new image processing and normalization tools, support for analyzing images that include multiple plants, leaf segmentation, landmark identification tools for morphometrics, and modules for machine learning.

scholarly journals A fully automatic 3-D analysis tool for expansion chamber mufflers

Sadhana ◽  
1998 ◽  
Vol 23 (2) ◽  
pp. 195-212
Author(s):  
R Srinivasan ◽  
M L Munjal
Keyword(s):  
Analysis Tool ◽  
Expansion Chamber ◽  
Fully Automatic

Both and Neither: in silico v1.0, Ecce Homology

Leonardo ◽  
2005 ◽  
Vol 38 (4) ◽  
pp. 286-293 ◽  
Author(s):  
Ruth West ◽  
Jeff Burke ◽  
Cheryl Kerfeld ◽  
Eitan Mendelowitz ◽  
Thomas Holton ◽  
...  
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Comparative Genomics ◽  
New Media ◽  
In Silico ◽  
Genetic Data ◽  
Installation Space ◽  
Local Alignment ◽  
Search Tool ◽  
Media Work

Ecce Homology, a physically interactive new-media work, visualizes genetic data as calligraphic forms. A novel computer-vision user interface allows multiple participants, through their movement in the installation space, to select genes from the human genome for visualizing the Basic Local Alignment Search Tool (BLAST), a primary algorithm in comparative genomics. Ecce Homology was successfully installed in the UCLA Fowler Museum, 6 November 2003–4 January 2004.

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