Detection air pollution based on infrared image processing

This paper proposes a method of detecting air pollution in a region using image processing techniques. The image used is the infrared image that obtained using a modified digital camera by mounting the SRS filter. Image processing technique used is to utilize wavelet transformation. Pollutants are detected based on the average number of white pixels that appear on the image. This white pixel appears due to the reflection of the wavelength of the pollutant that hits the sensor on the camera. From the results of the proposed method detection is known that the highest pollution occurs in 12.00 which is the busiest traffic time and the lowest pollution occurred in 08.00 where the traffic passing through the area has not been crowded

Moving objects detection employing iterative update of the background

Detection of objects from a video is one of the basic issues in computer vision study. It is obvious that moving objects detection is particularly important, since they are those to which one should pay attention in walking, running, or driving a car. This paper proposes a method of detecting moving objects from a video as foreground objects by inferring backgrounds frame by frame. The proposed method can cope with various changes of a scene including large dynamical change of a scene in a video taken by a stationary/moving camera. Experimental results show satisfactory performance of the proposed method.The 21st International Symposium on Artificial Life and Robotics, January 20–22, 2016, Beppu, Oit

PENENTUAN JARAK OBJEK PENGHALANG MENGGUNAKAN METODE PERHITUNGAN JARAK PIKSEL DARI HISTOGRAM PROYEKSI BERPANDUAN LASER GARIS

The rapid advancement of digital image processing technology is expected to facilitate human life in various aspects of life. This study aims to detect and determine the distance of a barrier object based on the detection of lines emitted by a line laser light beam using the Matlab programming language with the pixel distance calculation method. The pixel distance calculation method is used to detect lines in an image that is processed by looking at the consistency of the laser lines. This study uses a box as an object to determine the presence of obstructions from an image captured by a camera. In this study, the parameters of distance, camera angle, and line laser angle are used. Research data collection was carried out in the afternoon in a closed room with a light intensity of 10 lux. An object can be said to be a barrier if in an image there is a laser line that is broken or not at the same pixel position. However, if in an image there are consistent lines or no line changes, then the image can be said to have no barriers. Based on the evaluation of the distance accuracy calculation with data collection, it can actually be concluded that the distance accuracy when taking data is above 85%

RANCANG BANGUN DIODE CLAMPED MULTILEVEL INVERTER 7 TINGKAT UNTUK KONTROL DAN MONITORING MOTOR INDUKSI SATU FASA BERBASIS IoT

Kecepatan motor induksi dapat diatur dengan mengubah tegangan input, jumlah kutub ataupun frekuensi yang diberikan pada motor. Mengatur kecepatan motor induksi dengan cara mengubah tegangan input dan jumlah kutub cukup sulit dilakukan. Oleh karena itu hal yang paling mudah dilakukan adalah dengan mengubah frekuensi input pada motor induksi. Salah satu cara mendapatkan nilai frekuensi yang dapat diubah – ubah adalah dengan menggunakan inverter. Inverter yang digunakan pada penelitian ini adalah diode clamped multilevel inverter. Untuk memudahkan dalam melakukan kontrol kecepatan dan monitoring motor induksi, digunakan sensor tegangan ZMPT101B dan sensor kecepatan Optocoupler serta aplikasi blynk sebagai media dari internet of things. Hasil pengujian menunjukkan jika rangkaian alat dapat bekerja dengan baik. Perubahan frekuensi yang dilakukan diode clamped multilevel inverter berhasil mengubah kecepatan putaran motor induksi dan kontrol serta monitoring menggunakan konsep internet of things dapat bekerja sesuai kebutuhan

SISTEM KONTROL BEBAN DAN MONITORING DAYA BATERAI PADA PANEL SURYA 50WP UNTUK APLIKASI PENERANGAN BERBASIS INTERNET OF THINGS

Solar panels are the main device of a solar power generation system that functions to convert sunlight energy into electrical energy. The purpose of this study is to make it easier for users to monitor the voltage and current values in the battery generated by solar panels via smartphones with applications that have been designed, to develop tools and applications to monitor and control Internet of Things-based solar panels using the NodeMCU microcontroller so that they can be accessed via internet. The tool that will be made requires the INA219 sensor which will become one with the NodeMCU. In this study, it was found that the monocrystalline solar panel with a power of 50WP only has a de-efficiency value of 0.138%. In INA219 sensor measurement data, it can be seen that this data has a success value of 99.75% and a fairly small error value of 0.25%. On the INA219 sensor, the current value read is 0.014 to 0.712 A. This can be seen on the Blynk serial monitor