Automatic Security System Architecture for Smart Greenhouse Using Face Recognition Approach

Anwar, Saiful and Riskiawan, Hendra Yufit and Hariono, Budi and Setyohadi, Dwi Putro Sarwo and Yogiswara, Yogiswara and Kurniasari, Arvita Agus and Hakim, Muhammad Ridwan (2022) Automatic Security System Architecture for Smart Greenhouse Using Face Recognition Approach. IOP Conference Series: Earth and Environmental Science, 980 (1). 012058. ISSN 1755-1315

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Abstract

Automation has taken over nearly all domains of operation due to the rapid progress of technology. Over the years, the evolution of human-computer interaction has sped up. With regards to technology improvements, Smart Greenhouse has come a long way. As such, it is critical to have a dependable security system in place to safeguard Greenhouse assets and employee privacy. To access Greenhouse using the conventional security system, an individual must utilize a key. However, the current security mechanism contains numerous flaws regardless of how it is cast or taken. By using face recognition, this study seeks to assist users in enhancing the door security of the Smart Greenhouse. The suggested system comprises several subsystems, including picture capture, face recognition, and automatic door access management. Face Recognition is supported by OpenCV because it uses Eigenfaces and scales down face photos without sacrificing essential features. The Doorlock Selenoid will function as the key. One relay will serve as both an active and passive solenoid. Thus, the images captured from the webcam will be compared to the stored features, and if a match is found, access will be provided to the authorized person. Otherwise, the door is not accessible.

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