IoT Based Drowsiness Detection System Using Labview
Kalathiripi Rambabu1, Jennifer Shalini2, Shaik Ayesha Anjum3, P. Ramya Ramani4
1Kalathiripi Rambabu, Department of ECE, B.V. Raju Institute of Technology, Narsapur, Medak (Telangana), India.
2Jennifer Shalini, Department of ECE, B.V. Raju Institute of Technology, Narsapur, Medak (Telangana), India.
3Shaik Ayesha Anjum, Department of ECE, B.V. Raju Institute of Technology, Narsapur, Medak (Telangana), India.
4P. Ramya Ramani, Assistant Professor, Department of ECE, B.V. Raju Institute of Technology, Narsapur, Medak (Telangana), India.
Manuscript received on 12 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1909-1913 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F13410476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A new method for automobile safety and security with the autonomous region based automatic car system has been proposed in this model. We have designed drowsiness detection by using software called LabVIEW which also includes IoT. Accidents due to drowsiness has become a common problem hence to overcome this problem, we have incorporated driver situation based local environment recognition based AI system is proposed. As safety is very important during transportation one needs to be alert in all times. One of the main reason of accidents to occur is drowsiness or fatigue of the driver due to which both the driver and passengers are impacted and are prone to accidents, so here is a device which detects the drowsiness of the driver by detecting his eyes movement and a message will be sent via GSM and LabVIEW. Camera is fixed near to the steering wheel, so that the driver’s face is captured clearly. The real time images of eye are taken and matched, if the driver is not in the state of driving due to drowsiness an alarm will ring which will be very irritating and helps the driver to wake up. The driver is not responsible for providing any feedback to the system (i.e., the alarm alert system should start on its own). The system is designed in such a way that it operates regardless of surroundings, color and the texture of the face. The device is capable handling diverse conditions such as change in light, shadows, reflections, etc. A drowsiness detection system using LabVIEW and IoT has been proposed.
Keywords: LabVIEW, IoT, Raspberry Pi.
Scope of the Article: IoT