Gauss Control is a software based on data that helps to minimize fatigue risk of heavy-duty drivers. This by predicting fatigue risk in drivers, handing in diagnosis and proposing solutions to decrease risk. It is built from FRMS.
It is integrated via an API to the GPS system of an equipment, it captures working hours of drivers and introduce them into the Fatigue Model which generates risk fatigue indicators. The information nurture the platform’s different modules and can personalize automatic tasks to manage and decrease risk.
Our predictive fatigue model calculates mainly the chances of a driver suffering at least one microsleep event in its next work shift and it is built based on the following aspects: shift structure, profile, sleep estimation and results of the work plan.
A FRMS (Fatigue Risk Management System) is a methodology that mitigates fatigue risk in an strategical way by solving different safety areas. Currently, it is used in different industries with 24/7 shifts such as transportation, aviation and health.
Concrete results can be obtained in a period of 3 to 6 months depending on the demands of the established objectives.
Modules are sections in the platform that hands determined information relate to the operation and risk.
It is a transversal module that enables to solve and check diversions automatically generated in each module. These diversions arise when risk situations are detected in the modules.
La hoja de vida permite revisar el perfil completo de los conductores, como sus viajes, desviaciones e indicadores de riesgo vinculados a cada uno de los módulos.
Integration is completed by using Gauss Control’s API.
Obtain, process and prepare data for the work line. In Gauss Control we seek to provide an continuous improvement service, that is to say that once the diagnosis is handed in, a work plan will be provided which will be revised in a determined time for the renovation of objectives.
No. Gauss Control is a software hosted in the cloud that connects remotely.
Gauss Control not only allows you to visualize you microsleep events in the corresponding module but also enables you to use information to calibrate the Fatigue Model and individualize your drivers further more.
Drivers will have to enter their journeys in an app connected to the platform which combines information with data generated from the GPS system.
Currently, GPS positioning events, excess speeds with or without geofence, driver / vehicle identification events, drowsiness events and distraction events are supported.
Rest API + Json.
Authentication by user accounts and JSON web token, in addition to end-to-end encryption.
It can be managed from the client's’ site throughout an account manager or directly via API Rest