AP22685781 "Development of a manipulator control system using computer vision to increase flexibility and automate processes"

Relevance

Modern logistics requires high precision, automation, and adaptability. The use of manipulators with computer vision and AI systems significantly increases the efficiency of object processing, reduces costs and errors. The study of such systems is relevant for the development of intelligent automation in industry and logistics.

Purpose

The purpose of this work is to study and analyze the designs and operating principles of motion control systems for manipulators using computer vision technologies and artificial intelligence for logistical operations. The work also provides an overview of modern object recognition methods and video surveillance systems that can improve the performance of manipulators.

Expected and achieved results

Modern methods of object recognition have been studied, which can improve the performance of a manipulator using a video surveillance system. The mechanical design of the manipulator is designed. The article has been published in peer-reviewed foreign and (or) domestic publications recommended by the COC NVO.

Research team members with their identifiers (Scopus Author ID, Researcher ID, ORCID, if available) and links to relevant profiles

Рахметова Перизат Маратқызы

List of publications with links to them

Рахметова П. и др. Simulation of computer vision systems with artificial intelligence //Вестник КазАТК. – 2024. – Т. 134. – №. 5. – С. 393-402.