IoT-Enabled Single-Camera Speed Sensor for Smart City Tasks
Electronics 2024
Mihails Gorobecs, Jurijs Timofejevs, Andrejs Potapovs, Artjoms Obuševs

This article presents an innovative IoT-enabled single-camera speed sensor designed for smart city applications. The research encompasses the development of both hardware and software components, focusing on a computer vision and artificial neural network-based system. A novel aspect of this study is the implementation of a distance-measuring algorithm that eliminates the need for expensive LIDAR sensors traditionally used in speed cameras. Instead, the system relies on convolutional neural networks (CNN) and computer vision algorithms to estimate vehicle speed accurately. Field testing was conducted in real conditions over several months, generating sufficient data to assess the device’s ability to function under various adverse conditions. The results demonstrate the system’s capability to perform vehicle speed detection consistently across diverse conditions, showcasing its potential as a scalable solution for urban traffic management. This makes the proposed system not only more affordable but also simpler to deploy and maintain, thereby enhancing its suitability for widespread use in smart city environments.


Keywords
computer vision; speed sensor; smart city; IoT sensor
DOI
10.3390/electronics13122357
Hyperlink
https://www.mdpi.com/2079-9292/13/12/2357

Gorobecs, M., Timofejevs, J., Potapovs, A., Obuševs, A. IoT-Enabled Single-Camera Speed Sensor for Smart City Tasks. Electronics, 2024, Vol. 13, No. 12, Article number 2357. e-ISSN 2079-9292. Pieejams: doi:10.3390/electronics13122357

Publication language
English (en)
The Scientific Library of the Riga Technical University.
E-mail: uzzinas@rtu.lv; Phone: +371 28399196