PENERAPAN FUZZY LOGIC UNTUK MENINGKATKAN DERAJAT KEBENARAN DETEKSI PADA ALAT BANTU BUTA WARNA BERBASIS SENSOR OPTIK

Prototipe deteksi warna berbasis Arduino dan sensor warna TCS3200 telah berhasil dikembangkan. Prototipe ini dibangun dengan menerapkan logika fuzzy untuk meningkatkan akurasi pembacaan warna berdasarkan tingkat keanggotaan (μ (x)). Metode yang digunakan adalah mengubah ruang warna RGB (merah, hijau, biru) menjadi ruang warna HSV (Hue, Saturation, Value). Dari ruang warna HSV, nilai Hue diambil sebagai variabel independen dalam membuat kurva segmentasi warna dan μ (x). Bentuk keluaran dari prototipe adalah suara dengan informasi warna yang terdeteksi. Untuk mendapatkan jarak optimal dari deteksi warna, sensor ditempatkan pada jarak 1 cm, 2, cm dan 3 cm dari objek. Dari hasil pengujian, akurasi yang diperoleh pada jarak 1 cm adalah 100%, jarak 2 adalah 94.7% dan 89.4% pada jarak 3 cm. Oleh karena itu dapat disimpulkan bahwa jarak ideal untuk mengukur prototipe adalah 1 cm

Vision tests of sensory judges - review

In sensory examinations, judges must be in good general health. They should not have any deficiencies that could affect their perception or adversely affect their sensory performance, and thus can affect the reliability of their judgments. The vision of a judge is basically determined by three factors: visual acuity, contrast sensitivity and color vision. In the international practice of sensory analyses, color vision is generally examined. Color blindness is typically tested using the Ishihara pseudo-isochromatic color test, while color discrimination ability is examined using the Farnsworth-Munsell 100 hue test [1]. The most accurate tool to detect color blind people is the anomaloscope. Screening for color blind people is important because they have both poorer color discrimination abilities and poorer color identification abilities. The results of online color vision tests are significantly affected by the display device and its settings (monitor resolution, color-correct calibration), as well as test conditions: test geometry (relative position of the light source, the test book and the eye), photometric and spectral nature of the light source and the monitor, and the adaptation state of the eye. Unfortunately, the specifications for standard sensory tests do not require the visual acuity and contrast sensitivity testing of sensory judges, however, these properties obviously affect visual perception, so testing them is necessary

Computational Personalization through Physical and Aesthetic Featured Digital Fabrication

Thesis (Master of Science in Informatics)--University of Tsukuba, no. 41269, 2019.3.2