Intelligent Platform Based on Smart PPE for Safety in Workplaces
It is estimated that we spend one-third of our lives at work. It is therefore vital to adapt traditional equipment and systems used in the working environment to the new technological paradigm so that the industry is connected and, at the same time, workers are as safe and protected as possible. Tha...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/14/4652 |
| _version_ | 1797526054618791936 |
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| author | Sergio Márquez-Sánchez Israel Campero-Jurado Jorge Herrera-Santos Sara Rodríguez Juan M. Corchado |
| author_facet | Sergio Márquez-Sánchez Israel Campero-Jurado Jorge Herrera-Santos Sara Rodríguez Juan M. Corchado |
| author_sort | Sergio Márquez-Sánchez |
| collection | DOAJ |
| description | It is estimated that we spend one-third of our lives at work. It is therefore vital to adapt traditional equipment and systems used in the working environment to the new technological paradigm so that the industry is connected and, at the same time, workers are as safe and protected as possible. Thanks to Smart Personal Protective Equipment (PPE) and wearable technologies, information about the workers and their environment can be extracted to reduce the rate of accidents and occupational illness, leading to a significant improvement. This article proposes an architecture that employs three pieces of PPE: a helmet, a bracelet and a belt, which process the collected information using artificial intelligence (AI) techniques through edge computing. The proposed system guarantees the workers’ safety and integrity through the early prediction and notification of anomalies detected in their environment. Models such as convolutional neural networks, long short-term memory, Gaussian Models were joined by interpreting the information with a graph, where different heuristics were used to weight the outputs as a whole, where finally a support vector machine weighted the votes of the models with an area under the curve of 0.81. |
| first_indexed | 2024-03-10T09:24:41Z |
| format | Article |
| id | doaj.art-63ef7decce1445cd86bbe627cf15aec3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:24:41Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-63ef7decce1445cd86bbe627cf15aec32023-11-22T04:54:04ZengMDPI AGSensors1424-82202021-07-012114465210.3390/s21144652Intelligent Platform Based on Smart PPE for Safety in WorkplacesSergio Márquez-Sánchez0Israel Campero-Jurado1Jorge Herrera-Santos2Sara Rodríguez3Juan M. Corchado4BISITE Research Group, University of Salamanca, Calle Espejo s/n, Edificio Multiusos I+D+i, 37007 Salamanca, SpainDepartment of Mathematics and Computer Science, Eindhoven University of Technology, 5600MB Eindhoven, The NetherlandsBISITE Research Group, University of Salamanca, Calle Espejo s/n, Edificio Multiusos I+D+i, 37007 Salamanca, SpainBISITE Research Group, University of Salamanca, Calle Espejo s/n, Edificio Multiusos I+D+i, 37007 Salamanca, SpainBISITE Research Group, University of Salamanca, Calle Espejo s/n, Edificio Multiusos I+D+i, 37007 Salamanca, SpainIt is estimated that we spend one-third of our lives at work. It is therefore vital to adapt traditional equipment and systems used in the working environment to the new technological paradigm so that the industry is connected and, at the same time, workers are as safe and protected as possible. Thanks to Smart Personal Protective Equipment (PPE) and wearable technologies, information about the workers and their environment can be extracted to reduce the rate of accidents and occupational illness, leading to a significant improvement. This article proposes an architecture that employs three pieces of PPE: a helmet, a bracelet and a belt, which process the collected information using artificial intelligence (AI) techniques through edge computing. The proposed system guarantees the workers’ safety and integrity through the early prediction and notification of anomalies detected in their environment. Models such as convolutional neural networks, long short-term memory, Gaussian Models were joined by interpreting the information with a graph, where different heuristics were used to weight the outputs as a whole, where finally a support vector machine weighted the votes of the models with an area under the curve of 0.81.https://www.mdpi.com/1424-8220/21/14/4652AIoTanomaly detectionartificial intelligencesmart PPEmachine learningDeeptech |
| spellingShingle | Sergio Márquez-Sánchez Israel Campero-Jurado Jorge Herrera-Santos Sara Rodríguez Juan M. Corchado Intelligent Platform Based on Smart PPE for Safety in Workplaces Sensors AIoT anomaly detection artificial intelligence smart PPE machine learning Deeptech |
| title | Intelligent Platform Based on Smart PPE for Safety in Workplaces |
| title_full | Intelligent Platform Based on Smart PPE for Safety in Workplaces |
| title_fullStr | Intelligent Platform Based on Smart PPE for Safety in Workplaces |
| title_full_unstemmed | Intelligent Platform Based on Smart PPE for Safety in Workplaces |
| title_short | Intelligent Platform Based on Smart PPE for Safety in Workplaces |
| title_sort | intelligent platform based on smart ppe for safety in workplaces |
| topic | AIoT anomaly detection artificial intelligence smart PPE machine learning Deeptech |
| url | https://www.mdpi.com/1424-8220/21/14/4652 |
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