IoT and sensing tech for protection against occupational hazards

Apart from using new technologies, more advanced supply chains should protect the health of the workers and ensure their safety. Ergonomics projects should be seen as a fundamental element of any company’s strategy for productivity improvement.

However, they must first recognize and remedy the activities, attitudes or situations that may cause injuries or compromise the health of the worker. To do this, companies can make use of new technologies such as IoT and implement a safety monitor that detects anomalies or risks in order to warn of and prevent injuries.

At the BISITE Group we work on the design of different safety solutions for risk prevention in the workplace, such as Smart PPE made of intelligent fabric, sensors and actuators, with which the state of the worker and the environment can be monitored, forming an interconnected network of sensors. We have also developed a helmet, belt and bracelet for monitoring the vital signs and analysing the working environment.

Our solution goes beyond the incorporation of sensitized PPE; we are committed to the education and training of workers and to this end, we have created an integral solution consisting of a visualization platform and Augmented Reality technology which can be used to train workers and keep them updated on Occupational Risk Prevention (ORP).

One of the main objectives is to improve the safety of workers in sectors where the risk of an accident is high. Therefore, the solutions that are implemented must be designed with the human factor in mind. The IoT and sensing allow us to obtain valuable information that will help us propose solutions with a clear vision of the working ecosystem.

At BISITE, in addition to designing and carrying out projects, we are committed to training in new technologies. To this end, we offer degrees such as the Master in Internet of Things or the Master in Industry 4.0, whose graduates become highly qualified professionals, at the forefront of the new industrial revolution.




Juan Manuel Corchado

Full Professor in Computer Science and Artificial Intelligence, Department of Computer Science and Automation, University of Salamanca, Spain.


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