Smart_Safe: AI-Driven Safety System for Indoor Industrial Environments Using Wearable and Auto-ID

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F25%3A10259317" target="_blank" >RIV/61989100:27350/25:10259317 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11206248" target="_blank" >https://ieeexplore.ieee.org/document/11206248</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MASS66014.2025.00081" target="_blank" >10.1109/MASS66014.2025.00081</a>

Result language
angličtina
Original language name
Smart_Safe: AI-Driven Safety System for Indoor Industrial Environments Using Wearable and Auto-ID
Original language description
This poster presents the Smart_Safe system, a modular platform for real-time safety management in indoor industrial environments. The system integrates wearable sensors, Auto-ID technologies (such as RFID and Bluetooth), and AI-based analytics to detect, evaluate, and prevent occupational safety risks. Its core functionality includes real-time tracking of workers, detection of critical events (such as falls or zone violations), and prevention of collisions between people and mobile robots or forklifts. The system is designed to be scalable, interoperable with existing infrastructure, and privacy-respecting through the use of anonymized tracking and local processing. Integration with edge computing and digital twins enables context-aware decision-making and dynamic response to incidents. Smart_Safe supports applications in warehouses, smart factories, and production halls with a focus on high-risk or high-traffic areas. Initial testing demonstrates the feasibility of using hybrid sensor networks and lightweight AI models to ensure workplace safety and optimize movement flows. The poster also outlines the international collaboration between Czech and Korean partners, highlighting the hardware-software co-design process and the future roadmap for deployment.
Czech name
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Czech description
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Project
<a href="/en/project/LUE231026" target="_blank" >LUE231026: AI-Driven Smart Safety Management System for Industrial Environments</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2025 IEEE 22nd International Conference on Mobile Ad-Hoc and Smart Systems, MASS 2025 : proceedings : 6-8 October 2025, Chicago, Illinois, United States
ISBN
979-8-3315-6600-5
ISSN
2155-6806
e-ISSN
2155-6814
Number of pages
2
Pages from-to
510-511
Publisher name
IEEE
Place of publication
Piscataway
Event location
Chicago
Event date
Oct 6, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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