Body temperature estimation and facial recognition access control system
Data
Acronym: KOINOS
Partners: Instituto Tecnológico y de Energías Renovables (ITER).
Duration: 2019-2020
Budget: Internal
Financing: Internal
Project overview
The aim of this project is to provide a security system that allows the detection of potential alerts based on the processing of images (video) from security cameras, always in compliance with the LOPD in force. To this end, pattern detection algorithms will be used in images that are capable of generating events in the event of unexpected or risky situations in an unsupervised manner.
The project started with the development of a prototype of a facial recognition lock. The prototype has been installed and integrated into the current access control system and after a validation phase, it is being used regularly by the company’s staff.
Subsequently, due to the needs imposed by the crisis caused by the outbreak of the SARS-COV virus, work was redirected to the development of a multifunctional control point, with the following features:
- Access control and clocking-in system for the working day of ITER employees through the implementation of facial recognition algorithms. In the process of registering the user in the system, a process is carried out using artificial intelligence techniques that generates the coding of identification characteristics of the image that are not recognisable by a human. The encoding of each of the images is encrypted and subsequently added to the system’s user register, associating the user’s identity with the encoding. The system, completed and validated, allows for the recording of the working day using technology that does not require physical contact.
- Body temperature estimation system for the control and activation of the action protocol in the event of a device being present. By analysing a high-resolution thermographic image, the user’s body temperature is estimated without the need for contact or staff intervention in taking the measurement.
For its implementation, work has been carried out to prepare an impact report on the use of this technology, ensuring that it does not infringe or violate any rights of staff or external visitors and thus complying with the data protection law in force.
Three control points have been developed and installed that integrate the functionalities of body temperature estimation and access control by facial recognition. Once the administrative procedures for their use have been completed, they will be operational, covering the company’s needs in this area.
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