A smart driver monitoring system using android application and embedded system

2015 ◽  
Author(s):  
Mohammed Hayyan Alsibai ◽  
Hoon Min Siang
Keyword(s):  
Embedded System ◽  
Monitoring System ◽  
Android Application ◽  
Driver Monitoring

scholarly journals On-Road Driver Monitoring System Based on a Solar-Powered In-Vehicle Embedded Platform

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Yen-Lin Chen ◽  
Chao-Wei Yu ◽  
Zi-Jie Chien ◽  
Chin-Hsuan Liu ◽  
Hsin-Han Chiang
Keyword(s):  
Solar Cells ◽  
Embedded System ◽  
Monitoring System ◽  
Driving Safety ◽  
Detection Accuracy ◽  
Eye Detection ◽  
Electric Cars ◽  
Vehicle System ◽  
Driver Monitoring ◽  
Solar Powered

This study presents an on-road driver monitoring system, which is implemented on a stand-alone in-vehicle embedded system and driven by effective solar cells. The driver monitoring function is performed by an efficient eye detection technique. Through the driver’s eye movements captured from the camera, the attention states of the driver can be determined and any fatigue states can be avoided. This driver monitoring technique is implemented on a low-power embedded in-vehicle platform. Besides, this study also proposed monitoring machinery that can detect the brightness around the car to effectively determine whether this in-vehicle system is driven by the solar cells or by the vehicle battery. On sunny days, the in-vehicle system can be powered by solar cell in places without the vehicle battery. While in the evenings or on rainy days, the ambient solar brightness is insufficient, and the system is powered by the vehicle battery. The proposed system was tested under the conditions that the solar irradiance is 10 to 113 W/m2and solar energy and brightness at 10 to 170. From the testing results, when the outside solar radiation is high, the brightness of the inside of the car is increased, and the eye detection accuracy can also increase as well. Therefore, this solar powered driver monitoring system can be efficiently applied to electric cars to save energy consumption and promote the driving safety.

Integrated Rear-view Mirror for Driver Monitoring System

2006 ◽  
Author(s):  
Koji Okuda ◽  
Michimasa Itoh ◽  
Bunji Inagaki
Keyword(s):  
Monitoring System ◽  
Rear View Mirror ◽  
Driver Monitoring

Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety

2016 ◽  
Vol 40 (3) ◽  
pp. 885-895 ◽  
Author(s):  
Xuanpeng Li ◽  
Emmanuel Seignez
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Visual Cues ◽  
Real Life ◽  
Multimodal Fusion ◽  
Driving Safety ◽  
Driver Drowsiness ◽  
Driver Monitoring ◽  
Driver Inattention ◽  
Multi Level

Driver inattention, either driver drowsiness or distraction, is a major contributor to serious traffic crashes. In general, most research on this topic studies driver drowsiness and distraction separately, and is often conducted in a well-controlled, simulated environment. By considering the reliability and flexibility of real-time driver monitoring systems, it is possible to evaluate driver inattention by the fusion of multiple selected cues in real life scenarios. This paper presents a real-time, visual-cue-based driver monitoring system, which can track both multi-level driver drowsiness and distraction simultaneously. A set of visual cues are adopted via analysis of drivers’ physical behaviour and driving performance. Driver drowsiness is evaluated using a multi-level scale, by applying evidence theory. Additionally, a general framework of extensive hierarchical combinations is used to generate a probabilistic evaluation of driving risk in real time. This driver inattention monitoring system with multimodal fusion has been proven to improve the accuracy of risk evaluation and reduce the rate of false alarms, and acceptance of the system is recommended.

scholarly journals Design and Analysis of Trash Monitoring System Prototype Based On Internet of Things (IoT) Using MQTT Protocol

2018 ◽  
Vol 10 (3) ◽  
pp. 113
Author(s):  
Achmad Auliyaa Zulfikri ◽  
Doan Perdana ◽  
Gustommy Bisono
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
System Performance ◽  
Performance Test ◽  
Advanced Technology ◽  
Android Application ◽  
Packet Delivery ◽  
End To End Delay ◽  
System Prototype ◽  
Maximum Limit

On this research,Internet of Things (IoT) as an advanced technology is used to monitor the height of trash from a trash can in order to give notification whether the height of trash is already reach the maximum limit or not yet.To support those needs,we used NodeMCU as microcontroller,ultrasonic sensor,MQTT as IoT protocol,and also Android application to show the data.After we did the system performance test,we got the biggest result of end-to-end delay which is 2.06875 seconds when the packet delivery is set to 1000 ms with 3 active nodes and the smallest result which is 0.26055 seconds when the packet delivery is set to 100 ms with 1 active mode.The biggest result of throughput is 597.17 Bytes/s when the packet delivery is set to 100 ms with 1 active mode and the smallest result is 75.86 Bytes/s when the packet delivery is set to 1000 ms with 3 active nodes.The biggest result of availability and reliability is 99.905% when the packet delivery is set to 1000 ms and the smallest result is 99.833% when the packet delivery is set to 100 ms.

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