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Deployment Cycle of an Object Detector on a Small-Scale STMicroelectronics Hardware Platform

Sukleta, Dmytro and Voytenko, Volodymyr LU orcid (2026) VI International Scientific and Practical Conference "Novel Technologies of Smart Society"
Abstract
The practical implementation of object detectors (ODs) on small-scale hardware platforms faces significant computational and hardware barriers. The core of these platforms is primarily microcontrollers (MCUs), and deploying optimized OD models on such devices requires the application of specialized approaches, such as TinyML (Tiny Machine Learning).
The objective of this work is to analyse available small-scale platforms and experimentally verify the feasibility of implementing an on-board OD for an autonomous vehicle (UAV, robot). In the course of the study, a review of single-board computers and development boards based on STM32F4, STM32F7, STM32H7 MCUs, and the Nucleo AI boards was conducted on the STMicroelectronics website.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Contribution to conference
publication status
in press
subject
pages
3 pages
conference name
VI International Scientific and Practical Conference "Novel Technologies of Smart Society"
conference location
Chernihiv, Ukraine
conference dates
2025-12-11 - 2025-12-11
project
Image Pre-processing and Object Detecting UAV System
language
English
LU publication?
yes
id
4ef73164-85e6-4574-a803-6908b191dec5
date added to LUP
2025-12-15 14:51:21
date last changed
2026-01-15 14:44:45
@misc{4ef73164-85e6-4574-a803-6908b191dec5,
  abstract     = {{The practical implementation of object detectors (ODs) on small-scale hardware platforms faces significant computational and hardware barriers. The core of these platforms is primarily microcontrollers (MCUs), and deploying optimized OD models on such devices requires the application of specialized approaches, such as TinyML (Tiny Machine Learning).<br/>The objective of this work is to analyse available small-scale platforms and experimentally verify the feasibility of implementing an on-board OD for an autonomous vehicle (UAV, robot). In the course of the study, a review of single-board computers and development boards based on STM32F4, STM32F7, STM32H7 MCUs, and the Nucleo AI boards was conducted on the STMicroelectronics website.}},
  author       = {{Sukleta, Dmytro and Voytenko, Volodymyr}},
  language     = {{eng}},
  title        = {{Deployment Cycle of an Object Detector on a Small-Scale STMicroelectronics Hardware Platform}},
  year         = {{2026}},
}