Glenn O. Avendano

Philippine currency paper bill counterfeit detection through image processing using Canny Edge Technology

Image edge information is essentially one of the most significant information in an image, which can describe the target outline, its relative position within the target area, and other important information. Edge detection is one of the most important process in image processing, and the detection results directly affects the image analysis. Traditional edge detection algorithms are accomplished through detecting the maximum value of the first derivative or zero crossing of the second derivative. Though it seems the representative first order differential operators have known advantages like simple computation, speed and ease of implementation, they are more sensitive to noise and their detection effect are not perfect in most engineering application. Schemes for counterfeit detection has been continuously evolving through various techniques and algorithms run on machines and devices. This paper presents image enhancement and image sensing through the use of Canny Edge Technology. Moreover, counterfeit detection on selected Philippine banknotes was achieved by incorporating a distinct security feature known as Optically Variable Device (OVD) patch, as an improvement to the traditional three-way detection of bills (watermark, security thread, see-through marks)A MATLAB GUI program was developed that acquired and processed the image through Canny Edge Technology. The Canny Edge algorithm proved a robust method in detecting fake bills through OVD security features, revealing statistically significant detection proportion under a 5% level of significant for the four cases under test.

Tele-operated search robot for human detection using histogram of oriented objects

Disasters such as typhoons, tornadoes, and earthquakes are inevitable. Aftermaths of these disasters include the missing people. Using robots with human detection capabilities to locate the missing people, can dramatically reduce the harm and risk to those who work in such circumstances. This study aims to: design and build a tele-operated robot; implement in MATLAB an algorithm for the detection of humans; and create a database of human identification based on various positions, angles, light intensity, as well as distances from which humans will be identified. Different light intensities were made by using Photoshop to simulate smoke, dust and water drops conditions. After processing the image, the system can indicate either a human is detected or not detected. Testing with bodies covered was also conducted to test the algorithm’s robustness. Based on the results, the algorithm can detect humans with full body shown. For upright and lying positions, detection can happen from 8 feet to 20 feet. For sitting position, detection can happen from 2 feet to 20 feet with slight variances in results because of different lighting conditions. The distances greater than 20 feet, no humans can be processed or false negatives can occur. For bodies covered, the algorithm can detect humans in cases made under given circumstances. On three positions, humans can be detected from 0 degrees to 180 degrees under normal, with smoke, with dust, and with water droplet conditions. This study was able to design and build a tele-operated robot with MATLAB algorithm that can detect humans with an overall precision of 88.30%, from which a database was created for human identification based on various conditions, where humans will be identified.

Microcontroller-based fertilizer dispenser for rice crop

With this study, the researchers explored the potentials of innovating the distribution of fertilizers, improving the distribution of fertilizers in rice crops and made it more efficient. Statistical tests were conducted to determine significant difference in yield in a rice crop season. Particularly with the help of previous reviews of related literature on color sensor, color analysis, leaf color chart, a microcontroller-based fertilizer dispenser for rice crops was developed and ended up with a significant difference in rice yield at a 5% level of significance.

Extension of a 3-cm range of transmission and reception of a visible light communication system through varying modulation technique

This paper presents the use of visible light as a means of data communication, utilizing a Light Emitting Diode (LED) for data transmission, specifically the super bright LED and utilizing a Laser diode (LD) module which has a more focused beam and further range. The study implemented a wireless visible light communication (VLC) system that can transmit and receive data with a range of more than 3 cm; through varying modulation techniques, namely Phase Shift Keying (PSK), Frequency Shift Keying (FSK) and, Amplitude Shift Keying (ASK). The process includes using two Arduino modules, one for signal transmission and another for signal reception. The transmitter module is connected to a computer with the Arduino software where data will be inputted for transmission. The receiver consists of a photodiode which sends the intelligence to the Arduino and projects data to the screen. In all of the said techniques, it is observed that the presence of Bit Error Rate (BER) increased as the distance between the transmitter and receiver becomes greater. The farthest distance that PSK can achieve for LED is 9.8 cm and 22.2 cm for laser. In FSK the limit is up until 9.4 cm for LED and 21.4 cm for laser. While in ASK, the BER is unacceptable for all the distances in LED but in using the laser, it can reach as long as 19.4 cm. In general, the researchers were able to extend the transmission distance far greater than 3 cm. minimum distance between the devices.

Gamified teaching and learning platform for Christian Academy of Manila

The traditional teaching and learning method has already brought good results in the students of Christian Academy of Manila; however, a new approach is welcome. This project is for a class in Christian Academy of Manila, whose educators seek to have another approach in teaching Technology and Livelihood Education. The focus is covering a specific topic which is basic electronics, which has need not only for theories but also application. The development of this new teaching and learning experience involves gamification which is the application of game elements in the academe, needing for the construction of a website and a training kit. Unit testing and usability testing was done in order to assess the platform, both the website and the training kit. Gathered data and results demonstrated the efficiency of the project by showing the correctness of every function, which led to the attainment of this projects significance.

Gamified outcomes-based teaching and learning assessment tool for Mapúa Institute of Technology

In traditional teaching and learning, most students tend to laidback because of the unseen progress of their work. Introduction of this gamified outcomes-based teaching and learning assessment tool can lead into a more transparent and enthusiastic experience, providing a new perspective in the academe. The study aimed to analyze the effectiveness of the tool through the time each experiment is done and the final grades of the students.i This includes the website and the training kit for Logic Circuits and Switching Theory Laboratory (COE117L). The website comprises the gamification elements for both students and professor, while the training kit will be the source of the input data. There was a controlled group who will use the assessment tool, and an uncontrolled group that was subject to the traditional teaching and learning experience. Data showed the degree of negative linear correlation, implying that when the time of completing the experiment drops off, the grade for that experiment will increase, and vice versa. Hence, the website and the training kit were able to give instructions present in its content as well as its delivery because of the gamification process.