Face recognition system based on image transmission via LoRa in areas without Internet access

Yıl 2025, Cilt: 40 Sayı: 3, 1559 - 1572

Bilal Babayiğit , Fatma Yarlı Doğan

https://doi.org/10.17341/gazimmfd.1434752

Öz

In environmental monitoring studies, monitoring image data and transferring the image to a specific center point for this purpose is very important. Transmitting visual data from difficult regions where there is no internet access via the LoRa network poses difficulties due to the large size of the image data and the high energy requirement for transmission. In this study, rather than transmitting each image; It is aimed to overcome this difficulty in an optimum way by first analyzing the images and transmitting the risky results via LoRa. The study is based on the fact that when a foreign face is detected by performing face recognition with the Haar classifier, the LoRa node in the sending position transmits this data and the foreign face image to the central LoRa node. Before the image is transmitted, it is compressed with the Huffman Algorithm, one of the compression techniques, and divided into packets. After transmission, the packets are combined and opened with the same technique. The study is important in terms of ensuring environmental security in environments where there is no internet access, with LoRa technology, which requires low energy and has the ability to communicate over kilometers long distances. In our study, it has been demonstrated, supported by real environment experiments, that LoRa can be used in environmental monitoring studies aiming to ensure environmental security and control for areas where there is no internet access at long distances, except for risky applications that cannot tolerate data loss. The results of the study show that image transmission with LoRa is possible, although it has difficulties due to its large size.

Anahtar Kelimeler

LoRa, LPWAN, Internet of things, OpenCV, face recognition

Proje Numarası

FDK-2023-12503

İnternet erişimsiz alanlarda LoRa ile görüntü aktarımına dayanan yüz tanıma sistemi

Öz

Çevre izlemeye yönelik çalışmalarda görüntü verilerinin izlenmesi ve bu amaçla görüntünün belirli bir merkez noktaya aktarımı oldukça önemlidir. İnternet erişiminin olmadığı zor bölgelerden görsel verilerin LoRa ağı ile iletilmesi, görüntü verilerinin boyutunun büyüklüğü ve iletimde fazla enerji gerektirmeleri sebebiyle, zorluklar içermektedir. Bu çalışmada, her görüntünün iletimindense; önce görüntülerin analizinin yapılıp riskli sonuçların, LoRa ile iletilmesi sağlanarak bu zorluğun optimum bir şekilde üstesinden gelinmesini amaçlanmıştır. Çalışma, Haar sınıflandırıcı ile yüz tanıma gerçekleştirilerek, yabancı yüz tespit edildiğinde gönderici konumdaki LoRa düğümünün, merkez LoRa düğümüne bu veriyi ve yabancı yüz görüntüsünü iletmesine dayalıdır. Görüntü iletilmeden önce sıkıştırma tekniklerinden Huffman Algoritması ile sıkıştırılmakta ve paketlere bölünmekte; iletim sonrası paketler birleştirilerek aynı teknikle açılmaktadır. Çalışma, internet erişiminin olmadığı ortamlarda çevre güvenliğinin, hem düşük enerji gerektirmesi hem de kilometrelerce uzun mesafelerde haberleşebilmesi yeteneklerine sahip LoRa teknolojisi ile gerçekleştirilmesi açısından önem arz etmektedir. Çalışmamızda riskli ve veri kayıplarını tolere edemeyen uygulamalar dışında, LoRa’nın, uzak mesafede internet erişiminin olmadığı alanlar için ortam güvenliğinin ve kontrolünün sağlanmasını amaçlayan çevre izleme çalışmalarında kullanılabileceği, gerçek ortam deneyleri ile de desteklenerek ortaya koyulmuştur. Çalışmanın sonuçları, büyük boyutlarından dolayı zorlukları olsa da LoRa ile görüntü iletiminin mümkün olduğunu göstermektedir.

Anahtar Kelimeler

LoRa, LPWAN, nesnelerin interneti, OpenCV, yüz tanıma

Destekleyen Kurum

Erciyes Üniversitesi Bilimsel Araştırma Projeleri Birimi

Proje Numarası

FDK-2023-12503

Kaynakça

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