Perancangan Sistem Computer Vision Untuk Pengenalan Unique Marker Berbasis Image Processing

Azhary, Zaenal Afif (2022) Perancangan Sistem Computer Vision Untuk Pengenalan Unique Marker Berbasis Image Processing. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan teknologi otomatisasi banyak mengalami kemajuan, salah satunya Computer Vision (CV). Kamera sebagai mata untuk mendapatkan informasi yang menggambarkan suatu objek diantaranya geometri, warna, ukuran dan bentuk. Hasil tangkapan tersebut diolah oleh komputer dan software sehingga komputer dapat mendeteksi dan mengidentifikasi objek. Salah satu bidang yang memanfaatkan CV adalah industri persenjataan. Dimana senjata yang dikembangkan dapat membidik target secara otomatis untuk mendukung pertahanan negara. Untuk mendukung hal tersebut, dilakukan penelitian tentang sistem Recognizing Unique Marker, yaitu sistem pendeteksi marker yang unik untuk memenuhi kebutuhan otomatisasi pembidikan target. Marker tersebut berupa cahaya laser dengan warna, bentuk, ukuran, dan blinking yang unik sehingga hanya dikenali oleh komputer yang terprogram. Pengujian deteksi warna objek dengan intensitas dalam ruangan 71.3 Lux, warna merah dengan parameter threshold HSV (L-H, L-S, L-V, U-H, U-S, U-V) sebesar 34, 86, 125, 84, 255, 255. warna hijau dengan parameter threshold HSV sebesar 34, 86, 125, 84, 255, 255. Sedangkan warna biru dengan parameter threshold HSV sebesar 88, 102, 211, 135, 255, 255. Pada pendeteksian pola dan ukuran objek lingkaran berdiameter 15 cm memiliki jarak deteksi maksimum paling jauh dibandingkan pola objek lainnya yaitu sebesar 680 cm. Nilai rata-rata error hasil pengujian estimasi jarak objek menggunakan kamera Logitech C615 HD dengan variasi objek lingkaran sebesar ± 4%, objek persegi sebesar ± 5%, dan objek segitiga sebesar ± 6%. Hasil pengujian tracking objek yang diberi unique marker memposisikan objek pada area penembakan dengan variasi jarak 50 cm hingga 300 cm dengan 7 kali pengulangan didapatkan nilai ketepatan sebesar 95.24%.
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The development of automation technology has progressed a lot, one of which is Computer Vision (CV). The camera as an eye to get information that describes an object such as geometry, color, size and shape. The catch is processed by computers and software so that the computer can detect and identify objects. One of the fields that utilize CV is industry. Where the weapons developed can target targets automatically to support national defense. To support this, a research was conducted on the Recognizing Unique Marker system, which is a unique marker detection system to meet the needs of target shooting automatically. The marker is a laser light with a unique color, shape, size, and blink that is only recognized by a programmed computer. Object color detection test with indoor intensity 71.3 Lux, red color with HSV threshold parameters (L-H, L-S, L-V, U-H, U-S, U-V) of 34, 86, 125, 84, 255, 255. green color with HSV threshold parameter of 34, 86, 125, 84, 255, 255. While the blue color with HSV threshold parameters is 88, 102, 211, 135, 255, 255. For pattern detection and a circle diameter of 15 cm has the maximum detection distance compared to other object patterns. which is 680 cm. The average error value of the object distance estimation test results using the Logitech C615 HD camera with a variation of circle objects by ± 4%, square objects by ± 5%, and triangular objects by ± 6%. The test results for tracking objects that are given a unique marker position the object in the shooting area with a distance of 50 cm to 300 cm with a 7-fold variation resulting in an accuracy value of 95.24%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Computer Vision, Image Processing, Color Filtering, Shape Contour Detection
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc. U Military Science > U Military Science (General) > UG Military Engineering
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Zaenal Afif Azhary
Date Deposited:	21 Dec 2022 03:38
Last Modified:	21 Dec 2022 03:38
URI:	http://repository.its.ac.id/id/eprint/95257

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