Using Internet of Things Technologies to Ensure Cargo Transportation Safety

The article is devoted to the problem of automatic monitoring of the driver’s physical conditions while driving. The purpose of this article is to describe an approach to recognizing driver fatigue using a video camera mounted on the front panel of a vehicle, which allows recording facial expressions of a driver’s face for further analysis by managers of logistic company and using of the received information by Internet of Things objects in the freight management system. The system will allow managers of the logistics company to gain access to the movements of each driver and to statistics of dangerous conditions recorded during the trip, which, in turn, will allow to control the routes, compliance with traffic rules, as well as the work and rest of the drivers of the logistics companies.

[1]  D. Sałapatek,et al.  Driver drowsiness detection systems , 2017 .

[2]  Vijay Gaikwad,et al.  Lane Departure Identification for Advanced Driver Assistance , 2015, IEEE Transactions on Intelligent Transportation Systems.

[3]  Lingjiang Kong,et al.  Vision-based multi-scaled vehicle detection and distance relevant mix tracking for driver assistance system , 2015 .

[4]  Yingfeng Zhang,et al.  Real-time data driven monitoring and optimization method for IoT-based sensible production process , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[5]  Pierre-Antoine Absil,et al.  Principal Manifolds for Data Visualization and Dimension Reduction , 2007 .

[6]  Aurobinda Routray,et al.  Measurement of PERCLOS using eigen-eyes , 2012, 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI).

[7]  Shuang-Hua Yang,et al.  Architecture Design of Internet of Things in Logistics Management for Emergency Response , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

[8]  Christopher H. Messom,et al.  Stream processing for fast and efficient rotated Haar-like features using rotated integral images , 2009, Int. J. Intell. Syst. Technol. Appl..

[9]  P. Tadejko Application of Internet of Things in logistics – current challenges , 2015 .