OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts

2020 ◽  
Vol 63 (4) ◽  
pp. 328-335
Author(s):  
Jose Sigut ◽  
Miguel Castro ◽  
Rafael Arnay ◽  
Marta Sigut
Keyword(s):  
Computer Vision ◽  
Mobile Application

scholarly journals PROTOTYPE DESIGN OF SPEED DETECTION MOBILE APPLICATION FOR GOLFER’S SWING MOVEMENT USING COMPUTER VISION COMPARED TO PORTABLE RADAR AND ACCELEROMETER SYSTEMS

2019 ◽  
Vol 1 (1) ◽  
pp. 49-52
Author(s):  
Bagus Wibowo ◽  
Edi Sofyan ◽  
Gembong Baskoro
Keyword(s):  
Computer Vision ◽  
Mobile Application ◽  
Golf Club ◽  
Accelerometer Data ◽  
Application Development ◽  
Software Application ◽  
The Moment ◽  
Swing Speed ◽  
Python Programming ◽  
Prototype Design

Prototype Design of Golf Swing Speed Detection Mobile Application (GSSDMA)/Swing Vision (SV) has been researched and developed on this thesis with computer vision technique. Frames detection method has been implemented to performed calculation of the swing speed by manually identification of the frames from start of down swing to impact of the ball with Matlab Video Viewer as initial reference calculation, when head of golf club start to move to downswing as frame-zero/fr0 and frame-n/frn as end of the frame after the head of golf club impact to the ball and then the total frames can be determined by frn minus fr0 (frn - fr0) which will be used for speed calculation reference formula using Python programming.Both measurements have been recorded using RADAR and accelerometer systems to get references of swing speed data measurement from some golfers in golf driving ranges. Accelerometer data measurements have been selected to use as reference of speed calculation with Python programming for software application development since deviation standard is lower than the RADAR systems.There is a limitation on the hand phone camera speed which only have thirty frames per second (30 fps) and the maximum swing speed can be tested with this camera is 101,2 mph at the moment which has three frames (frn-fr0). Found a swing speed formula y = - 0,53x3 + 9,53x2 – 61,27x + 213,35 from experimental data’s of Driver, 6 Iron, 8 Iron and Pitching and maximum swing speed can be predicted is 124,69 mph which has two frames.

scholarly journals Recognition Handwriting and Printed Text for Software Requirements Engineering

2019 ◽  
Vol 5 (12) ◽  
pp. 246-256
Author(s):  
A. Kaznin
Keyword(s):  
Computer Vision ◽  
Parallel Computing ◽  
Requirements Engineering ◽  
Mobile Application ◽  
Character Recognition ◽  
Input Data ◽  
Software Requirements ◽  
Image Preprocessing ◽  
Printed Text ◽  
Choice Of Technology

This article discusses the problems of collecting software requirements. The existing computer vision technologies are analyzed and the choice of technology for recognizing handwritten and printed text is justified. The input data for the experiments are described and the results of character recognition for each image category are presented. A method of image preprocessing and recognition of text characters on mobile devices using parallel computing has been developed. On the basis of the proposed method, a prototype mobile application for collecting and digitalizing data obtained during the requirements engineering has been developed.

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 INSIDe: Image recognition tool aimed at helping visually impaired people contextualize indoor environments

2019 ◽  
Vol 11 (3) ◽  
pp. 59-71
Author(s):  
Elias Fank ◽  
Fernando Bevilacqua ◽  
Denio Duarte ◽  
Alesson Scapinello
Keyword(s):  
Computer Vision ◽  
Image Recognition ◽  
Mobile Application ◽  
Visually Impaired ◽  
Low Cost ◽  
Indoor Environments ◽  
Audio Feedback ◽  
Visually Impaired People ◽  
Key Points

Visually impaired (VI) people face a set of challenges when trying to orient and contextualize themselves. Computer vision and mobile devices can be valuable tools to help them improve their quality of life. This work presents a tool based on computer vision and image recognition to assist VI people to better contextualize themselves indoors. The tool works as follows: user takes a picture $\rho$ using a mobile application; ρ is sent to the server; ρ is compared to a database of previously taken pictures; server returns metadata of the database image that is most similar to ρ; finally the mobile application gives an audio feedback based on the received metadata. Similarity test among database images and $\rho$ is based on the search of nearest neighbors in key points extracted from the images by SIFT descriptors. Three experiments are presented to support the feasibility of the tool. We believe our solution is a low cost, convenient approach that can leverage existing IT infrastructure, e.g. wireless networks, and does not require any physical adaptation in the environment where it will be used.

scholarly journals Mobile Application Based Home Automation with Security Advancements utilizing IoT and Computer Vision

2020 ◽  
Vol 9 (3) ◽  
pp. 3282-3288
Keyword(s):  
Computer Vision ◽  
Mobile Application ◽  
The Other ◽  
Home Automation ◽  
Human Intervention ◽  
Dual Mode ◽  
Security Issues ◽  
Fingerprint Biometrics ◽  
Security Operations ◽  
Automation Techniques

Security has consistently been a numbers game. Time to discovery and time to reaction have been measurements security groups have looked to diminish since the get-go (or if nothing else the start of PCs…). However, what does it take to really decrease that number? Mechanizing security undertakings like the ones described in this paper is no longer a "nice to have." It's a "need to have." Automating house features incorporating security advancements can alleviate many of today’s biggest security issues and offer us group operational efficiencies that can profit us now and over the long haul. Our work aims in automatic handling of security operations-related tasks. It takes care of executing these tasks, such as scanning for vulnerabilities, with minimal required human intervention. We propose a complete smart security system with home automation techniques complementing security advancements. The system is controlled by a mobile application which works in dual mode. In the first mode, the owner can control the home upon his/her discretion and can access the home automation features such as unlocking their house using the same application without being physically present. While the other mode requires the person (trying to enter the house) to be physically present and provide his fingerprint biometrics and face detection to access the house. The photo of the person is sent to the owner for his confirmation and the owner can then decide whether to identify and allow the guest as an acquaintance or to report to the police as a suspect. Both modes allow the use of home automation techniques using the dial pad of the owner’s phone.

Can computer vision be used for anthropometry? A feasibility study of a smart mobile application

2021 ◽  
Author(s):  
Renan Fialho ◽  
Rayele Moreira ◽  
Thalyta C. P. Santos ◽  
Samila S. Vasconcelos ◽  
Silmar Teixeira ◽  
...  
Keyword(s):  
Computer Vision ◽  
Feasibility Study ◽  
Mobile Application ◽  
Smart Mobile

scholarly journals Development of neural network and application of computer vision technology for diagnosis of skin injuries and diseases

2021 ◽  
Vol 2 (2(58)) ◽  
pp. 6-11
Author(s):  
Ivan Fomenko ◽  
Vladyslav Asieiev ◽  
Inessa Kulakovska
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Computer Vision ◽  
Mobile Application ◽  
Preventive Treatment ◽  
Skin Lesions ◽  
Object Oriented Programming ◽  
Environmental Data ◽  
Medical Field ◽  
Network Training

The object of research is the process of using the technology of artificial intelligence and computer vision in the medical field. The subject of the study is the introduction of the neural network in diagnostic information systems and its collaboration with the mobile application iOS for the diagnosis of skin lesions and diseases. The property of neural networks is their ability to learn based on environmental data and as a result of learning to increase their productivity. After analyzing the existing methods for further implementation in the software product for neural network training, the method of parallelization of sampling training was chosen. One of the most problematic places is the task of diagnostics in the medical field, which requires, along with expert solutions, the use of modern approaches based on artificial intelligence and computer vision. Through the use of artificial intelligence and computer vision, experts try to assess the patient's condition and accurately diagnose, because the human factor is always present in the medical field, so the use of artificial intelligence aims to improve the quality of patient diagnosis. Research methods include computational experiments, comparative analysis of results, object-oriented programming. The study used computer vision techniques, which include methods for obtaining, processing, analyzing and understanding digital images. A neural network for the analysis of injuries and diseases of the skin has been trained and an information system for diagnosing and monitoring the health of the skin has been implemented by creating a mobile application based on iOS. The results of the implementation can give users the opportunity to monitor the condition of their skin, receive recommendations for its preventive treatment, provide advice on the treatment or prevention of diseases, provide information literature

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