With almost 3.75 million people with visually impaired in Indonesia, according to statistical data shown that most of them not live in prosperity. To increase their productivity they need an assistive device that’s allows them to navigate freely. This paper presents a novel Audio guidance system for blind in the shape of simple bag with earphone for giving them an audio guidance efficiently and safety. Different with other audio guidance, we propose a simple system consist of Raspberry Pi Camera and Ultrasonic Sensor as input, Raspberry Pi, Earphone and Power bank. This system is initiated by providing a voice command of the direction where the blind person must walk or go through, so they can avoid from obstacles. We also apply Fuzzy Logic Controller (FLC) to detect the obstacles along they walk by using 3 ultrasonic sensors. The experimental result shows that by using FLC and interfacing by Raspberry Pi the proposed system can effectively to detect the obstacles and give direction with 2.32% distance error.

Absensi adalah proses untuk mengidentifikasi dan mencatat kehadiran mahasiswa/i disetiap waktu kelas yang dijadwalkan. Pada umumnya proses absensi ini dilakukan secara manual begitu juga pada proses pelaporan kehadiran mahasiswa (rekap absensi mahasiswa) dilakukan secara manual oleh staf administrasi. Sistem yang masih manual ini rentan terjadinya kecurangan dan juga human error. Untuk mengatasi permasalahan tersebut, maka perlu dirancang sistem absensi yang berbasis elektronik dan mampu melakukan pengolahan data secara cepat, mudah, dan paperless. Sistem absensi yang dirancang dalam bentuk portable yang mudah dibawa ke kelas-kelas perkuliahan dan meminimalkan terjadinya kecurangan. Sistem yang dirancang menggunakan Sensor Fingerprint yang terhubung dengan mikrokontroller Raspberry Pi sebagai file server. Sensor fingerprint akan mendeteksi sidik jari dari mahasiswa yang telah tersimpan dalam internal storage sensor. Kemudian data tersebut dikirim ke Raspberry Pi untuk mengolah data, menyimpan data, dan membagikan data absensi ke komputer admin. Data absensi akan memuat data-data yang dibutuhkan dalam pelaporan kehadiran mahasiswa. Hasil pengambilan data pendeteksian sidik jari yang telah dilakukan menunjukkan bahwa tingkat akurasi dari pendeteksian memiliki indeks akurasi berkisar 100 sampai 400 dimana faktor kegagalan yang dominan disebabkan karena bentuk dan ketebalan ridge sidik jari yang kurang jelas. Alat abseni portable memiliki menu register, hapus sidik jari, dan absensi. Menu register untuk mendaftarkan sidik jari mahasiswa, menu hapus sidik jari untuk menghapus data mahasiswa, dan menu absensi untuk mencatat kehadiran mahasiswa yang dikonfirmasi oleh dosen.

A Prototype of Automatic Lip-Reading or a prototype of automatic lip-reading is a device that is needed by people with hearing disabilities or the Deaf. The prototype will help people with hearing impairment move independently without depending on others. Advances in Nano technology have driven the development of Computer Vision and software that enables the creation of prototypes of Automatic Lip-Reading. The image processing applied to this prototype is focused on the movement of the lips, tongue, and the area around a person's mouth. Furthermore, the results of the image recognition will compare with the database that has been provided to produce certain words. The prototype design consists of a camera, Python with Tensorflow used as an image processing programming language with the Convolutional Neural Network (CNN) method as an image recognition method, and Machine Learning Technology used as processing and decision-making systems. This study, numbers and alphabets were used as trials or predictions of the Automated Lip-Reading system. By using CNN and Machine Learning methods, the test results show that in general, the system designed can predict numbers and alphabet with not quite high or less than 35%.