Cover Image

On the problem of object recognition on devices with limited resources

The problem of implementing object recognition on microcontrollers with limited resources, particularly the challenges related to their computational power, memory capacity, and energy consumption is addressesed. The use of the compact MobileNet neural network architecture is proposed, which is base...

Full description

Saved in:

Bibliographic Details
Date:	2025
Main Authors:	Berdnyk, Y.M., Skotarenko, A.O.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2025
Subjects:	object recognition classification neural network MobileNet architecture microcontroller UDC 004.93
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/670
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Problems in programming
Download file:

Institution

Problems in programming

Similar Items

Convolutional neural network model and software for classification of typical pests
by: Bezliudnyi, Y.S., et al.
Published: (2022)

A generalized methodology of sign language recognition on video streams based on neural networks and transformers
by: Кузнєцова, Н. В., et al.
Published: (2023)

Model building for current transformer paper-oil insulation state diagnostics
by: Skrupskaya, L. S., et al.
Published: (2014)

Operational diagnostics of main equipment APP
by: Sharayevskij G.S., et al.
Published: (2009)

Development and research of a modified convolutional neural network for malaria cell pattern recognition
by: Федорченко, Є. М., et al.
Published: (2023)

Self-learning neural network technologies in the systems of structural recognition of visual objects
by: Berestovskii, A. E., et al.
Published: (2015)

Optimization methods for face recognition algorithmes
by: Sitkov, I.P., et al.
Published: (2025)

Characteristics for choice of models in the ansables classification
by: Barmak, O.V., et al.
Published: (2018)

Graphical data aggregation and analysis in dedicated mobile device networks.
by: Pogorilyy, S. D., et al.
Published: (2019)

A Convolutional Neural Network Model and Software Tool for Classifying the Presence of a Medical Mask on a Human Face
by: Hryhorenko, Y.S., et al.
Published: (2023)

Recognition of emotional expressions using the grouping crowdings of characteristic mimic states
by: Barmak, O.V., et al.
Published: (2020)

Application of artificial intelligence and image processing in a mobile system for managing a set of critical resources (using the example of a personal first aid kit)
by: Федорченко, Є. М., et al.
Published: (2025)

Implementation of neural network based 2D seismic images super resolution approach
by: Noskov, Oleksii, et al.
Published: (2025)

The solution of problem on grouping mobile objects in monitoring systems using clustering techniques
by: Yuzefovich, V. V.
Published: (2015)

APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
by: Gorbunov, A. A., et al.
Published: (2017)

Cortege Analysis of the Most Significant Correspondences Between Descriptions of Objects in Metric Recognition Problems
by: Vlasenko, N. V., et al.
Published: (2012)

An object classification technique on aerial and space imagery under low separability of recognition features
by: Andreiev, Artem
Published: (2023)

Development and research of a genetic method for medical diagnosis of diabetes mellitus
by: Федорченко, Є. М., et al.
Published: (2021)

Development of the intelligent control system of an unmanned car
by: Dakhno, N.B., et al.
Published: (2024)

GEOSITES AS OBJECTS OF NATURAL RESERVE FUND (PROBLEMATIC ISSUES)
by: Samoilenko, L. V.
Published: (2020)

Гібридна згорткова мережа для обробки зображень рентгенівських знімків для виявлення захворювання COVID-19
by: Федорченко , Є. М., et al.
Published: (2022)

Machine learning methods analysis in the document classification problem
by: Zhyrkova, A.P., et al.
Published: (2021)

Granulation of object features values as a means of structural recognition methods efficiency rise
by: Gorokhovatskiy, V. A., et al.
Published: (2014)

Problems and perspectives of application of Artificial Neural Nets in power engineering. Part 2. Management
by: Voronovskiy, et al.
Published: (2007)

Primary Large Sample Partitioning for Diagnosis and Recognition Problem Solving on the Basis of Computational Intelligence Methods
by: Subbotin, S. A.
Published: (2013)

The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data
by: Krysenko, Pavlo
Published: (2025)

Recognition of fish acoustic patterns at monitoring of freshwater ecosystems
by: Tkachenko, Таtiana М., et al.
Published: (2021)

Formal theory model in the form of commutative semigroup of image constructions
by: Бисикало, Олег Владимирович, et al.
Published: (2015)

Formal theory model in the form of commutative semigroup of image constructions
by: Бисикало, Олег Владимирович, et al.
Published: (2015)

Software system for laser targeting dropped ammunition
by: Bezpalko, S.O., et al.
Published: (2023)

Friend-or-Foe Recognition Algorithm Development for the Corresponding Software Building
by: Ogurtsov, M.I.
Published: (2023)

Determination of sensitiveness of identifications function to change of entrance descriptions of images processing for the recognition of subjects in information security systems
by: Sachanyuk-Kavetska, N. V.
Published: (2017)

Machine-learning methods for text named entity recognition
by: Marchenko, O.O.
Published: (2018)

Neural network technology adaptation to the small-size objects identification in satellite images of insufficient resolution within the graphic reference images database
by: Stankevich, Sergey, et al.
Published: (2020)

Method for political propaganda detection in internet content using neural network natural language processing tools
by: Krak, Iu.V., et al.
Published: (2024)

A modern approach to calculating the abilities and capabilities of military units to perform tasks using artificial intelligence
by: Бойченко, А. В., et al.
Published: (2025)

An evaluation of task performance capabilities in a network-centric system with neural networks usage
by: Бойченко, А. В., et al.
Published: (2025)

Hash functions and integrity of information objects
by: Mаtоv, O. Ya., et al.
Published: (2014)

Neural and Bayesian networks in the problem of credit risk analysis
by: Kuznietsova, N. V., et al.
Published: (2015)

Development of a boost-inverter converter under electromagnetic compatibility stress equipping a photovoltaic generator
by: Bechekir, S., et al.
Published: (2023)