Ερευνά και ανάπτυξη λογισμικού ανίχνευσης και ανάλυσης της συμπεριφοράς προκαθορισμένων αντικειμένων, και δημιουργία επιχειρηματικού πλάνου

Ραυτόπουλος, Σταύρος

Research and development of software for detection and analysis of the behavior of predefined objects, and creation of a business plan

Master Thesis

Author

Ραυτόπουλος, Σταύρος

Date

2024-04

Abstract

Τhe combined use of artificial intelligence, machine learning, and computer vision has brought significant advancements in various fields, such as image recognition, web search, autonomous driving, robotics, manufacturing, healthcare, and many others. Machine learning is combined with computer vision to train computational models that can automatically recognize objects, faces, and shapes in images and videos. These results are then utilized to solve various problems, including automatic image classification, face detection, automatic text recognition in images, and other challenges. Detection and analysis of the behavior of predefined objects are crucial areas in the field of artificial intelligence. This technology has multiple applications, such as detecting pathogenic microorganisms in laboratory samples, detecting anomalies in user behavior in computer networks, facial recognition, and many more. In this project, we will develop a software system for the detection and analysis of the behavior of predefined objects. The system will detect and analyze the behavior of objects in different environmental conditions and allow users to monitor the progress of these objects and receive notifications in case of any abnormalities in their behavior. To implement the system, we will use deep learning techniques, such as neural networks, for training the system in object behavior recognition and detection. The system will consist of two main parts: one for object detection and another for behavior analysis. For system implementation, we will use the JavaScript programming language along with the NodeJS library to develop the application's backend. We will utilize the TensorFlow.js library for creating neural networks and training them. Additionally, we will employ the OpenCV.js library for image processing and object detection using JavaScript. This project aims to create a system that can be used in various domains, such as manufacturing, healthcare, and security. Detecting and analyzing the behavior of predefined objects is an extremely useful tool for improving the performance, safety, and efficiency of products and services in the market. By using the system developed in this project, businesses can achieve higher accuracy and reliability in object recognition and monitoring, leading to improved productivity and performance. Moreover, the application of the detection and analysis system for predefined object behavior can have significant impacts on improving public safety and reducing accidents in the workplace.

Postgraduate Studies Programme

Ψηφιακός Πολιτισμός, Έξυπνες Πόλεις, IoT και Προηγμένες Ψηφιακές Τεχνολογίες

Department

Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Πληροφορικής

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/16426
http://dx.doi.org/10.26267/unipi_dione/3848

Collections

Τμήμα Πληροφορικής

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού - Παρόμοια Διανομή 3.0 Ελλάδα