scholarly journals Remote monitoring of fish activity using a smartphone camera with fisheye lens and image processing.

2021 ◽  
Vol 23 (2) ◽  
pp. 409-413
Author(s):  
Toi YAMANAKA ◽  
Hiroyuki YAMADA ◽  
Yasufumi FUJIMOTO ◽  
Tetsuo SHIMADA
Keyword(s):  
Image Processing ◽  
Remote Monitoring ◽  
Fisheye Lens ◽  
Fish Activity

scholarly journals Disease Detection and Remote Monitoring in Chilli Crop Using Image Processing

2021 ◽  
Vol 9 (8) ◽  
pp. 2988-2995
Author(s):  
M Keerthi
Keyword(s):  
Image Processing ◽  
Crop Yield ◽  
Remote Monitoring ◽  
Plant Production ◽  
Disease Detection ◽  
Leaf Characteristics ◽  
Chilli Plant ◽  
Early Stages ◽  
Leaf Image

Abstract: Observations today have verified that the average crop yield in India is declining due to illnesses that have affected fully grown plants. Chilli plant production is tough due to the plant's vulnerability to a variety of microorganisms, infectious illnesses, and pests. Infections in the chilli plant impact areas such as the leaves and stems. In the early stages of diagnosing chilli illnesses, leaf characteristics are examined. The leaf image is taken and analyzed to determine the health of the chilli plant. Pesticides are currently being tested on chilli plants on a regular basis without first determining the needs of each plant. This ensures that pesticides are only used when diseased plants are discovered. Keywords: Infections in the chilli plant, chilli illnesses, characteristics are examined, Pesticides are currently being tested on chilli plants.

Remote Monitoring of Outdoor High Voltage Insulator using Deep Learning-based Image Processing

2021 ◽  
Author(s):  
Akzhol Baktiyar ◽  
Darkhan Baizhan ◽  
Mehdi Bagheri ◽  
Amin Zollanvari ◽  
Alimzhan Murzabulatov ◽  
...  
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
High Voltage ◽  
Remote Monitoring ◽  
High Voltage Insulator ◽  
Voltage Insulator

scholarly journals Concert Viewing Headphones

2011 ◽  
Vol 2011 ◽  
pp. 1-10
Author(s):  
Kazuya Atsuta ◽  
Masatoshi Hamanaka ◽  
SeungHee Lee
Keyword(s):  
Image Processing ◽  
Group Performance ◽  
Square Function ◽  
Sound Processing ◽  
Fisheye Lens ◽  
Side Walls ◽  
Distance Sensor

An audiovisual interface equipped with a projector, an inclina-tion sensor, and a distance sensor for zoom control has been developed that enables a user to selectively view and listen to specific performers in a video-taped group performance. DubbedConcert Viewing Headphones, it has both image and sound processing functions. The image processing extracts the portion of the image indicated by the user and projects it free of distortion on the front and side walls. The sound processing creates imaginary microphones for those performers without one so that the user can hear the sound from any performer. Testing using images and sounds captured using a fisheye-lens camera and 37 lavalier microphones showed that sound locali-zation was fastest when an inverse square function was used for the sound mixing and that the zoom function was useful for locating the desired sound performance.

scholarly journals Affordable Remote Monitoring of Health Status using Facial Image Processing

2019 ◽  
Vol 8 (12) ◽  
pp. 2518-2521
Keyword(s):  
Image Processing ◽  
Health Status ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
High Speed ◽  
Vital Signs ◽  
Close Monitoring ◽  
High Speed Camera ◽  
Remote Monitoring System

This paper presents a real-time monitoring system with a novel approach to assess the human health status without the need for using a body sensor. The project mainly targets improving the quality of life for those living independently but still require close monitoring. Skin fluctuation of the human face is monitored real time with a high-speed camera to determine vital signs including the heart rate and blood pressure. A few image processing algorithms have been utilized to determine the image fluctuations and extract the related features and acquire vital signals. An algorithm assesses and evaluates the risks involved in irregular behaviors and takes follow up actions where required. The application has been implemented on two platforms and interfaced with a high-speed camera to evaluate the performance of the remote monitoring system in indoor situations.

scholarly journals InspirerMundi—Remote Monitoring of Inhaled Medication Adherence through Objective Verification Based on Combined Image Processing Techniques

2021 ◽  
Author(s):  
Pedro Vieira-Marques ◽  
Rute Almeida ◽  
João F. Teixeira ◽  
José Valente ◽  
Cristina Jácome ◽  
...  
Keyword(s):  
Image Processing ◽  
Medication Adherence ◽  
Remote Monitoring ◽  
Patient Adherence ◽  
Self Management ◽  
Management Decision ◽  
Image Processing Techniques ◽  
Adherence To Medication ◽  
Adherence Assessment ◽  
Processing Techniques

Abstract Background The adherence to inhaled controller medications is of critical importance for achieving good clinical results in patients with chronic respiratory diseases. Self-management strategies can result in improved health outcomes and reduce unscheduled care and improve disease control. However, adherence assessment suffers from difficulties on attaining a high grade of trustworthiness given that patient self-reports of high-adherence rates are known to be unreliable. Objective Aiming to increase patient adherence to medication and allow for remote monitoring by health professionals, a mobile gamified application was developed where a therapeutic plan provides insight for creating a patient-oriented self-management system. To allow a reliable adherence measurement, the application includes a novel approach for objective verification of inhaler usage based on real-time video capture of the inhaler's dosage counters. Methods This approach uses template matching image processing techniques, an off-the-shelf machine learning framework, and was developed to be reusable within other applications. The proposed approach was validated by 24 participants with a set of 12 inhalers models. Results Performed tests resulted in the correct value identification for the dosage counter in 79% of the registration events with all inhalers and over 90% for the three most widely used inhalers in Portugal. These results show the potential of exploring mobile-embedded capabilities for acquiring additional evidence regarding inhaler adherence. Conclusion This system helps to bridge the gap between the patient and the health professional. By empowering the first with a tool for disease self-management and medication adherence and providing the later with additional relevant data, it paves the way to a better-informed disease management decision.

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