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2018 Deep Learning Based Vehicle Detection on Cross-Roads

- Although the number of lanes of roads in residential cities is constant, the number of vehicle in traffic is increasing every year. This causes traffic congestion at certain times, such as before and after work hours. Thus, instead of traditional methods, intelligent systems have become a necessity to control traffic lights. For this problem, there are traffic signaling applications developed with using image processing and artificial intelligence techniques in literature. In this study, an application was developed to provide more detailed data for traffic signaling applications. Used Faster R-CNN model was trained and tested in Karabük and trained model detected 76 of 79 vehicles in 23 test frames and achieved 96% success.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

murat GENÇER Nesrin Aydın Atasoy

334 427
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English
2018 Real Time Drowsiness Driver Detection and Low Cost Warning System

The number of vehicles in our country is increasing day by day. Therefore, the most important reason for traffic accidentsis human. These accidents are caused by reasons such as nuisance, insomnia, alcohol consumption, excessive speed, not obeying traffic rules. In this study, it is determined that the driver in the car is drowsy. If the driver closes own eyes and yawning, alert system gives a warning. In this real time application, eyes and mouth are detected using Viola-Jones algorithm. Eyes and mouth according to head movements are performed with Kanade-Lucas-Tomasi algorithm. A counter is used for no iris detection on the eyes and mouth is too more open state. These are using parameters in the developed system. The developing prototype system works successfully.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Furkan ÇAKMAK Nesrin Aydın Atasoy

319 387
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English
2017 Web Based Intelligent Home Automation Using Raspberry Pi

A smart home is one that serves automatic house management and remote control system to its homeowner. It is the integration of technologies applied to homes, offices and small buildings to provide security, comfort, communication and energy saving with less human interaction. Home technology is the adaptation of control systems used in many fields of industry to daily life, while home automation is the application of these technologies to individual needs and desires. One of the most important features of smart house is that it can be remotely controlled and monitored when necessary. Thanks to this system that can be controlled via Raspberry Pi-based web, users will be able to access the system from smartphone, laptop, tablet, desktop computer. In this low-cost system, it is aimed to use technology easily in daily life. Additionally, intelligent home technology can be carried out more easily and more effectively by means of building information modeling technology. Room temperature control system module, lighting system based on daylight module, a security camera system module controlled by PIR sensor, parking sensor module via ultrasonic HC-SR04 sensor are realized in this project.

1.st International Conference Energy Systems Engineering
ıcese'17

Nesrin Aydın Atasoy Mehmet Tankül Ferhat Atasoy

264 211
Subject Area: Engineering Broadcast Area: International Type: Oral Paper Language: English