Intelligent Drowsy Drive Alert using OpenCV and Convolutional Neural Network

The objective of this paper is to propose a non-intrusive system that can detect fatigue of any human body and issue a warning in time.Driver sleep detection is an automobile safety feature that helps to avoid accidents when the driver falls asleep behind the wheel. According to various researches, roughly 25% of traffic accidents are caused by weariness. Without taking regular breaks, drivers become drowsy and they may fail to recognize the risks. This project can give drivers utmost safety by preventing him from getting asleep while driving.

Hot Stamped Aluminium for Crash-Resistant Automobile Safety Cage Applications

Hot stamping, also known as press hardening in the context of sheet steel, has steadily gained relevance in the automotive industry, starting off as a specialist application and turning into a staple technique in the production of safety cage products in little more than a decade. However, despite the weight reduction offered by martensitic steels, further improvement could be obtained by substituting these components by high-performance aluminium. In this regard, the very same process of hot stamping could be employed to attain the required combination of shape complexity and mechanical properties at a reasonable cost for mass-market application, if the limitations imposed by cycle time and process window could be overcome. In this work, the feasibility of hot stamping of 6000-series aluminium alloy sheet is studied, first in dilatometry experiments and later in semi-industrial conditions in a pilot facility. A cycle time shortening strategy is employed, and compared to the conventional thermal cycle in terms of implementation and obtained results. In addition to basic characterization, aluminium thus processed is studied in terms of fracture toughness, in order to obtain data relevant to crashworthiness that can be readily compared with alternative materials.

Development and implementation of volumetric compression relaxation testing of skeletal muscle

Computational models of human body— such as the Toyota THUMS model— are frequently used in the automobile safety industry. Such models rely on accurate material properties for body tissues. However, the compressive behavior of skeletal muscle is not fully understood yet, particularly regarding the differences in muscle response to various in vivo loading conditions. It is likely that in vivo muscle experiences a variation between confined and unconfined volumetric boundary conditions, but nearly all previous studies investigating passively compressed tissue have focused on muscle in unconfined compression (UC) or fully confined compression (CC). One study has investigated muscle under anisotropic semi-confined compression (SC). However, the apparatus used by Bol et al. (2016) does not allow testing the effect of interstitial fluid properties on the mechanics of skeletal muscles. Thus, we have developed novel instrumentation that can help to investigate the effects of volumetric boundary conditions (SC and CC) on stress relaxation of skeletal muscles. We also present a viscoelastic model that shows how relaxation behavior differs from boundary conditions.

Investigation on Design and Analysis of Passenger Car Body Crash-Worthiness in Frontal Impact Using Radioss

Increasing advancement in automotive technologies ensures that many more lightweight metals become added to the automotive components for the purpose of light weighting and passenger safety. The accidents are unexpected incidents most drivers cannot be avoided that trouble situation. Crash studies are among the most essential methods for enhancing automobile safety features. Crash simulations are attempting to replicate the circumstances of the initial crash. Frontal crashes are responsible for occupant injuries and fatalities 42% of accidents occur on frontal crash. This paper aims at studying the frontal collision of a passenger car frame for frontal crashes based on numerical simulation of a 35 MPH. The structure has been designed to replicate a frontal collision into some kind of inflexible shield at a speed of 15.6 m/s (56 km/h). The vehicle’s exterior body is designed by CATIA V5 R20 along with two material properties to our design. The existing Aluminum alloy 6061 series is compared with carbon fiber IM8 material. The simulation is being carried out by us in the “Radioss” available in “Hyper mesh 17.0” software. The energy conservation and momentum energy absorption are carried out from this dynamic structural analysis.