The primary aim would be to provide awareness and safety mechanism for that driver. Primary reason of the accident is a result of drinking and abnormal pulse rate of driving person. Additionally for this thievery recognition, home security system and person level identification is decided. The primary utilization of human level identification technique is to recognize the individual within the vehicle. Passive infrared sensor can be used this detects a person’s level. Within this paper alcohol recognition and heartbeat monitoring system, person level identification system, accident alert, thievery recognition and mobile free auto reply technique is accustomed to avoid any sort of accident. Assume motor as engine. To begin engine user needs to send SMS from mobile. Within this project we're using LPC2148 is primary controller. It is associated with ARM7 architecture. GSM modem is linked to controller through serial interface. IR sensor, smoke sensor (MQ2), Heartbeat sensors are linked to controller through digital I/O lines. Motor also associated with H-bridge or relay. Accidents mainly occur because of driver negligence. Their simulation output is observed by LABVIEW or MATLAB and also the hardware module is acquired. Hardware module for hybrid driver safety product is acquired with three methods namely alcohol recognition, heartbeat monitoring system, person level identification method, eye blink sensor and thievery identification. Password authentication, calls divert method, pulse level mechanism is processed. Both ways can be used to rectify the negligence from the driver and immediate intimation strategy is produced by utilization of GSM technology.


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    Titel :

    ECHOING SCHEME TO MAINTAIN AN GAZE AT DRIVING


    Beteiligte:
    Swetha, Chepuri (Autor:in) / Sandeep, Ch. (Autor:in) / Ravi Kiran, D.Naga (Autor:in)

    Erscheinungsdatum :

    17.01.2017


    Anmerkungen:

    IJITR; Vol 5, No 1 (2017): December - January 2017; 5499-5501


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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