scholarly journals Aqua-Vision (An underwater panoramic camera with computer vision and analytics)

2022 ◽  
Vol 2161 (1) ◽  
pp. 012062
Author(s):  
Siddharth Sudhakar ◽  
Shubham Yadav ◽  
Manav Dhelia ◽  
Pranav Taysheti ◽  
Arjun Hariharan ◽  
...  
Keyword(s):  
Computer Vision ◽  
Social Media ◽  
User Experience ◽  
Mobile Application ◽  
Rotary Motion ◽  
Camera System ◽  
Substantial Advantage ◽  
Camera Module ◽  
Portable Camera ◽  
Underwater Camera

Abstract In the present social media-bound lifestyle, capturing memories and keeping them accessible is gaining a significant demand globally. For this purpose, a robust, portable camera system for recreational or commercial purposes can be of substantial advantage to society. Aqua-Vision intends to bring an affordable underwater camera system with various innovative features to the hands of consumers. The smart module consists of a waterproof gimbal camera that can be used underwater, providing a hassle-free and reliable user experience and offers rotary motion along two axes. The camera features various general modes like panorama, burst shot, and smart modes using inbuilt computer vision algorithms. The gimbal camera setup can be controlled and switched remotely between all possible modes using a mobile application. All the above features will allow the user to capture photos/videos in any possible setup and use the camera module for various applications. The advent of such innovative, convenient, and robust modules will help cater to the market demands effectively.

scholarly journals Testing And Targeting A Mobile Application For Creatives

2021 ◽  
Author(s):  
Jack Hopkins
Keyword(s):  
Social Media ◽  
User Experience ◽  
Mobile Application ◽  
Target Market ◽  
Subsequent Research ◽  
Digital Landscape

Will another social media application that aims to connect creators have a chance at success in our crowded digital landscape? We are putting that question to the test, by working on our idea of helping anyone find specific workspaces or spots that help them do their craft. Within a mobile application, letting users quickly find and post such spaces in their community while being able to connect with other users behind those posts, is what our ideas (and subsequent research) led us to. From target market and user experience interviews we have conducted for nearly a year, we believe that the need for such a mobile application among creatives justifies the work that must go into creating it.

scholarly journals User experience assessment of a COVID-19 tracking mobile application (AMAN) in Jordan

2021 ◽  
Vol 23 (2) ◽  
pp. 1120
Author(s):  
Ashraf Mousa Saleh ◽  
Hayfa Y. Abuaddous ◽  
Odai Enaizan ◽  
Fahad Ghabban
Keyword(s):  
Social Media ◽  
User Experience ◽  
Mobile Application ◽  
Research Method ◽  
User Interaction ◽  
Online Questionnaire ◽  
Positive Impression ◽  
Arabic And English ◽  
Experience Questionnaire

<p>This study assesses the user experience of a COVID-19 tracking application, as employed as a case study of AMAN mobile application based on user experience. This paper proposed an assessment of user experience (UX) for AMAN application (COVID-19 tracking mobile application in Jordan) by implementing a user experience questionnaire tool. The study aims to get feedback and identify UX based on user interaction and usage with the tracking application. The data are taken from 1208 participants who have experience using the application; an online questionnaire was implemented and distributed through social media groups. The research method that was adopted used the instrument from user experience questionnaire (UEQ) of Arabic and English versions. The results from the UX assessment using UEQ showed that there are four scales which are categorized as excellent; they are Attractiveness (Mean=1.9), Efficiency (Mean=2.4), Dependability (Mean=2.1), Stimulation (Mean=1.8), while the two scales on the benchmark of good are Perspicuity (Mean=2.0) and Novelty (Mean=1.6). From the scores, above &lt; 0.8 show a positive evaluation. All scores are above &gt;0,08 indicating that the evaluation of UX has a positive impression. It can be concluded that the AMAN application is very good–satisfying users to track infected cases of COVID 19. </p>

scholarly journals Vision-Based Hand Gesture Recognition Techniques using Smartphones

2020 ◽  
Vol 9 (9) ◽  
pp. 85-90
Keyword(s):  
Computer Vision ◽  
User Interface ◽  
Mobile Devices ◽  
User Experience ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
The Past ◽  
Computational Performance ◽  
Camera Module

In the past few years, the computational performance of smartphone devices has seen tremendous growth. Due to which the smartphone has become a suitable platform for various computer-vision based applications which earlier was not possible. In this paper, we study various methods through which we can achieve computer vision-based hand gesture recognition natively on smartphones. If smartphones can support hand gesture recognition it can provide a new way to interact with mobile devices and overcome the hurdles of voice and touch-based user interface improving the user experience at the same time also supports other gesture-based applications. The techniques we study are mainly vision-based since camera module is present on most of the smartphones and it does not require other additional sensors or other hardware. We have compared the various methods available based on algorithms used and corresponding accuracy.

scholarly journals Testing And Targeting A Mobile Application For Creatives

2021 ◽  
Author(s):  
Jack Hopkins
Keyword(s):  
Social Media ◽  
User Experience ◽  
Mobile Application ◽  
Target Market ◽  
Subsequent Research ◽  
Digital Landscape

Will another social media application that aims to connect creators have a chance at success in our crowded digital landscape? We are putting that question to the test, by working on our idea of helping anyone find specific workspaces or spots that help them do their craft. Within a mobile application, letting users quickly find and post such spaces in their community while being able to connect with other users behind those posts, is what our ideas (and subsequent research) led us to. From target market and user experience interviews we have conducted for nearly a year, we believe that the need for such a mobile application among creatives justifies the work that must go into creating it.

scholarly journals Smart Video Surveillance System Based on Edge Computing

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2958
Author(s):  
Antonio Carlos Cob-Parro ◽  
Cristina Losada-Gutiérrez ◽  
Marta Marrón-Romera ◽  
Alfredo Gardel-Vicente ◽  
Ignacio Bravo-Muñoz
Keyword(s):  
Computer Vision ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Smart Camera ◽  
People Detection ◽  
Camera System ◽  
Edge Node ◽  
New Processing ◽  
Processor Unit

New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper presents a smart video surveillance system executing AI algorithms in low power consumption embedded devices. The computer vision algorithm, typical for surveillance applications, aims to detect, count and track people’s movements in the area. This application requires a distributed smart camera system. The proposed AI application allows detecting people in the surveillance area using a MobileNet-SSD architecture. In addition, using a robust Kalman filter bank, the algorithm can keep track of people in the video also providing people counting information. The detection results are excellent considering the constraints imposed on the process. The selected architecture for the edge node is based on a UpSquared2 device that includes a vision processor unit (VPU) capable of accelerating the AI CNN inference. The results section provides information about the image processing time when multiple video cameras are connected to the same edge node, people detection precision and recall curves, and the energy consumption of the system. The discussion of results shows the usefulness of deploying this smart camera node throughout a distributed surveillance system.

Kameraunterstützte Verschwendungsreduktion*/Computer-vision supported waste reduction in lean production

2017 ◽  
Vol 107 (09) ◽  
pp. 572-577
Author(s):  
B. Prof. Lorenz ◽  
I. Kaltenmark
Keyword(s):  
Computer Vision ◽  
Lean Manufacturing ◽  
Lean Production ◽  
Low Cost ◽  
Industrie 4.0 ◽  
Waste Reduction ◽  
Camera System ◽  
New Developments ◽  
Neue Entwicklungen

In modernen Produktionen ist Lean Manufacturing einer der wichtigsten Treiber für Produktivitätssteigerungen. Durch neue Entwicklungen im Bereich Industrie 4.0 können Impulse im Lean Manufacturing gegeben werden. An der OTH Regensburg wird getestet, wie kostengünstige Kamerasysteme helfen können, Verschwendungen sichtbar zu machen und zu minimieren. Es zeigt sich, dass auch mit geringen Investitionskosten neue Potentiale zur Verschwendungsreduktion aufgedeckt werden können. &nbsp; In modern production lean manufacturing is one of the most effective drivers for productivity. Due to new developments in the Industrie 4.0-campaign new impulses can be given into lean manufacturing. Experiments at OTH Regensburg indicate that a low-cost camera system can help to make waste visible and minimize it. This shows that with low invest costs, new potentials for waste reduction can be revealed.

Success Factors of Social Media Applications (SMA): Case Study among UUM Students

2021 ◽  
Vol 12 (3) ◽  
pp. 2733-2745
Author(s):  
Mazlan Mohd Sappri Et.al
Keyword(s):  
Social Media ◽  
Service Quality ◽  
User Satisfaction ◽  
Mobile Application ◽  
Information Quality ◽  
Success Factors ◽  
Reference Model ◽  
Mobile App ◽  
Media Applications

Social media application (SMA) shows several important functions that causing theincrement of usage among mobile application or mobile app users, especially among18 to 28 years-old users. This causing several developers to create their own SMA thathave been targeted to mobile app users. However, only several SMA managed tobecome popular and successful in term of usage, leaving other unpopular SMA in thelower rank of the Google PlayStore. SMA created by developer in Malaysia face thesame situation as mentioned before where those SMA were supposed to attractMalaysian mobile users more. To assess this situation, this study aims to identify thesuccess factors of SMA usage and develop a set of metric based on the success factorsusing research model that have been developed in the past. Information SystemSuccess Model (ISSM) were studied and chosen as the reference model for this studybecause the model is suitable and have been used by other researchers in studiesregarding social media and SMA. ISSM contains several success factors like systemquality, service quality and information quality that affect the user satisfaction and useof a system, where this model were modified in this study with the addition ofnetworking quality and perceive privacy factors. This study were conducted on 380Universiti Utara Malaysia (UUM) students and after analysing the data collected, allproposed success factors except of service quality were found to have a positive impacttowards user satisfaction and usage. The success factors were included in the metricdesign and the metric were presented in an evaluation form for SMA developer inMalaysia to evaluate and applied the metric in their SMA.

Sign in / Sign up

Export Citation Format

Share Document