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Journals / Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi / 2026 / Cilt: 16

Implementing hand recognition solutions to control intelligent lighting in office

Ofiste akıllı aydınlatmayı kontrol etmek için el tanıma çözümlerinin uygulanması

Abdulvahit Karail(MARMARA UNIVERSITY)0009-0003-8718-8906
Veysel Böcekçi(MARMARA UNIVERSITY, FACULTY OF TECHNOLOGY)0000-0003-4559-7173
İsmail Kıyak(MARMARA UNIVERSITY, FACULTY OF TECHNOLOGY)0000-0002-5061-6378
Pages
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Publication Date
2026-02-17
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The proposed approach aims to increase the functionality of offices and support user productivity, while also offering a multidisciplinary perspective by integrating AI-based recognition solutions with lighting systems and image processing algorithms.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Solutions obtained through multi-system approaches, ranging from simple models to detailed frameworks and from internet-enabled tools to integrated electronic structures, reflect advances in communication technologies.
📊
Key Findings & Data:The primary objective of the research is to integrate the MediaPipe framework into office environments.
💡
Conclusion & Impact:The proposed approach aims to increase the functionality of offices and support user productivity, while also offering a multidisciplinary perspective by integrating AI-based recognition solutions with lighting systems and image processing algorithms.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yapay zeka · görüntü işleme · mediapipe

Abstract

Solutions obtained through multi-system approaches, ranging from simple models to detailed frameworks and from internet-enabled tools to integrated electronic structures, reflect advances in communication technologies. The primary objective of the research is to integrate the MediaPipe framework into office environments. An approach to more efficiently utilizing office-like environments has been presented using Mediapipe, an AI-based tool. The fundamental premise of this approach is that factors such as ambient light intensity and distance from the camera play a critical role in traditional image processing methods, making control processes difficult and, in some cases, impossible. Office environments are being transformed into smart systems through MediaPipe-based methods, enabling light and sound levels to be controlled with hand gestures. The proposed approach aims to increase the functionality of offices and support user productivity, while also offering a multidisciplinary perspective by integrating AI-based recognition solutions with lighting systems and image processing algorithms.

Özet

İletişim teknolojilerinde çözümler; basit modeller, detaylı çerçeveler, internet tabanlı araçlar ve bütünleşik elektronik yapılar gibi çoklu sistemler aracılığıyla elde edilir. Bu araştırmanın temel amacı Mediapipe çerçevesini ofislere entegre edip kullanmaktır. Yapay zeka tabanlı bir araç olan Mediapipe kullanılarak ofis benzeri ortamların daha verimli şekilde kullanılmasına yönelik bir yaklaşım sunulmuştur. Bu yaklaşımın temel çıkış noktası, klasik görüntü işleme yöntemlerinde ortamın ışık şiddeti ve kameraya olan mesafe gibi faktörlerin kritik rol oynaması, kontrol süreçlerini zorlaştırması ve bazı durumlarda uygulanabilirliği imkansız hale getirmesidir. Bu çalışma, MediaPipe'ı kullanarak ofislerimizi akıllı bir sisteme dönüştürmekte, aydınlatma ve ses seviyesini el hareketleriyle ayarlama imkanı sunmaktadır. Bu yenilikçi yaklaşım hem kullanıcı verimliliğini arttırdı hem de ofis hayatını daha kullanışlı hale getirmiştir. Bu araştırma, tanıma çözümleri ve yapay zeka ile geliştirilmiş aydınlatma sistemiyle görüntü işleme algoritmalarını entegre etmektedir.

🔖

Cite This Article

Karail, A., Böcekçi, V., Kıyak, İ. (2026). Implementing hand recognition solutions to control intelligent lighting in office. Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 16. https://doi.org/10.28948/ngumuh.1580491

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