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Son yıllarda görüntü işleme ve bilgisayarlı görme çalışmaları hızla yayılmaya başlamıştır. Tarım, tıp, eğitim, sağlık ve güvenlik gibi birçok alanlarda bilgisayarlı görme çalışmaları yapılmakta ve günlük yaşantımızda kullanılmaktadır. Özellikle yüz ve nesne tanıma işlemi, her geçen gün farklı birçok uygulama ile karşımıza çıkmaktadır. Geliştirilen bu yüz tanıma uygulamaları sayesinde, kullanıcılardan yüz bilgileri toplanarak veri ve bilgi tabanları oluşturulmaktadır. Okul, işyeri, site, alış veriş merkezi, stadyum gibi birçok sosyal alanların kontrol ve takip edilmesinde bu uygulamalar ve veri tabanları kolaylık sağlayacaktır. Makale kapsamında, işyerlerinin personel giriş ve çıkışlarını hızlı, etkili ve doğru bir şekilde takip etmesi amacıyla, yüz tanıma tabanlı personel kontrol ve takip sistemi tasarımı önerilmektedir. Çeşitli işyerlerinde personel giriş çıkışlarının kontrol edilmesi genellikle kartlı sistem veya el ile kayıt tutularak yapılmaktadır. Bu tarz sistemlerde başkasının yerine kart basma veya eksik isim yazma gibi insan kaynaklı problemler ortaya çıkmaktadır. Ayrıca personel sayısının fazla olduğu firmalarda personel giriş çıkışlarının takip edilmesinde ciddi problemler yaşanmaktadır. Özellikle yakın zamanda ortaya çıkan salgın hastalıklardan sonra herkesin aynı yere kart basması veya parmak izi okutması hijyen ve sağlık koşulları açısından oldukça sıkıntılı bir durum olduğu ortaya çıkmıştır. Bu çalışmada, yüz tanıma tabanlı personel kontrol ve takip sistemi tasarımı geliştirilmiştir. Geliştirilen sistemde, giriş ve çıkışlara kameralar yerleştirilerek personellerin görüntüleri alınmaktadır. Alınan görüntülerden yüz bölgeleri tespit edildikten sonra, özyüz, fisheryüz ve yerel ikili örüntü histogramı yöntemleriyle yüzün kime ait olduğu bulunmaktadır. Bulunan kişiye ait giriş veya çıkış bilgisi ekranlarda gösterilmekte ve bu bilgi personel veri tabanında saklanmaktadır. Yüz tanıma sistemi sayesinde personellerin işe geliş, gidiş saatleri ve fazla mesai bilgileri otomatik olarak kolayca takip edilmektedir.
In recent years, image processing and computer vision studies have begun to spread rapidly. In many fields, such as agriculture, medicine, education, health and safety, computer vision works are carried out and used in our daily lives. In particular, the process of face and object recognition is faced with many different applications every day. Thanks to these developed face recognition applications, data and information bases are created by collecting face information from users. These applications and databases will facilitate the control and tracking of many social areas such as school, workplace, site, shopping center, stadium. In the context of the article, it is recommended to design a face-recognition-based personnel control and tracking system in order to ensure that workplaces track staff entrances and exits quickly, effectively and accurately. The inspection of staff entrance outputs in various workplaces is usually done by holding a card system or hand recording. In this type of systems, human-source problems arise, such as printing a card instead of someone else or writing a missing name. There are also serious problems in the company where the number of employees is excessively high. Especially after recent epidemic diseases, it has been revealed that everyone’s printing of cards or fingerprinting in the same place is a very trouble situation in terms of hygiene and health conditions. In this study, the design of facial recognition-based personnel control and tracking system has been developed. In the developed system, cameras are placed on the entrances and outputs and the staff’s images are taken. After the hundred areas of the taken images were detected, it was found to who the face belongs with the methods of the oasis, fisheryus and local binary sample histogram. The entrance or exit information of the person is displayed on the screens and this information is stored in the staff database. Thanks to the face-recognition system, the staff’s arrival to work, the hours of departure and the excess work information are automatically traced easily.
Image processing and computer vision have started to spread rapidly in recent years. Computer vision studies are carried out in many fields such as agriculture, medicine, education, health and security and are used in our daily life. Especially face and object recognition process comes up with many different applications day by day. Thanks to these face recognition applications developed, databases are created by collecting facial information from users. These applications and databases will facilitate the control and monitoring of many social areas such as schools, workplaces, sites, shopping centers, stadiums. In this article, it is proposed to design a face recognition based personnel control and tracking system in order to track the personnel entrances and exits quickly, effectively and accurately. Controlling the entrances and exits of employees in various workplaces is generally done by card system or by keeping a manual record. In such systems, human-related problems such as printing cards or typing incomplete names occur instead of someone else. In addition, there are serious problems in tracking the number of personnel entrances and exits in companies. Especially after recent epidemic diseases, it has turned out to be a very troublesome situation in terms of hygiene and health conditions for everyone to scan cards or to have fingerprints in the same place. In this study, face recognition based personnel control and tracking system design was developed. In the developed system, cameras are placed on the inputs and outputs and the images of the personnel are taken. After determining the facial regions from the images taken, it is determined to whom the face belongs by using eigenface, fisherface and local binary pattern histogram methods. The entry or exit information of the person found is displayed on the screen and this information is stored in the personnel database. Thanks to the face recognition system, personnel entry-exit times and overtime information are easily tracked automatically.
Field : Fen Bilimleri ve Matematik; Mühendislik
Journal Type : Uluslararası
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