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All Journal PROtek : Jurnal Ilmiah Teknik Elektro Jurnal Edunitro
Franky Manoppo, Franky
STMIK Parna Raya, Manado
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Other

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Speedy Vision-based Human Detection Using Lightweight Deep Learning Network Aktama, Gede Erik; Manoppo, Franky; Simbolon, Rosdiana; Laloan, Adityo Clinton; Sumendap, Andreas; Putro, Muhamad Dwisnanto
PROtek : Jurnal Ilmiah Teknik Elektro Vol 11, No 2 (2024): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v11i2.7030

Abstract

Person detection plays a role as the initial system of video surveillance analysis with various implementations, such as activity analysis, person re-id, behavior analysis, and tracking analysis. The demand for efficient models drives a deep learning architecture with a superficial structure that can operate in real-time. You look only once (YOLO) object detection has been presented as an accurate detector that can operate in real-time. The speed limitation, huge computation cost, and abundant parameters still leave vital issues to improve the efficiency of this architecture. Lightweight human detection is proposed by utilizing the YOLOv5n framework. Modifying layer depth promotes a detection system that can operate fast and without stuttering. As a result, the proposed detector has satisfactory performance and is competitive with existing models. It achieves a mAP of 45.2%, closely competing with other person detectors. Additionally, it can run fast without stumbling at 26 frames per second. The detector's speed offers the advantage of this work that it can be feasibly implemented on a cpu device without a graphics accelerator.
Wireless Residential Electric Controller Using Arduino Uno and Bluetooth Module HC-05 Nelwan, Allan; Manembu, Pinrolinvic; Wauran, Alfrets; Manoppo, Franky; Mamahit, Calvin
JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro Vol. 3 No. 1 (2023): April Issue
Publisher : Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edunitro.v3i1.5408

Abstract

This research aims to design electrical installations in residential homes that apply Internet of Things (IoT) technology. An Arduino Uno mini system is the controller whose interface uses the HC-05 Bluetooth module. At the same time, the control uses a cellphone with the Android operating system. The design is based on a research development model, but it is not fully standardized by development research because there are some limitations to the problem. The focus is only on tool design, namely planning, manufacturing, and testing the resulting tool or device. The design results obtained an electrical installation control device with an Android phone. The device is capable of connecting and disconnecting load points remotely and automatically. The control distance is approximately 20 meters according to the Bluetooth specifications used.
Smart Home with Voice Control Lights Using Arduino Uno R3 Mamahit, Calvin; Wauran, Alfrets; Manoppo, Franky; Seke, Fransiskus; Ticoh, Janne
JURNAL EDUNITRO Jurnal Pendidikan Teknik Elektro Vol. 3 No. 2 (2023): October Issue
Publisher : Department of Electrical Engineering Education, Faculty of Engineering, State University of Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edunitro.v3i2.6792

Abstract

The development of science and technology has positively impacted human life, which has now reached the age of electric voice commands. An intelligent home management system allows humans to operate their house's electrical gadgets, such as lighting, using simple voice commands, eliminating the need to move around to switch on or off equipment. When users of indoor lighting use sound waves to operate the system or turn on the lights, the sound sensor sends an input signal to the microcontroller, which is then processed with the microcontroller's output in the form of a voltage to turn on the load. The system will function when the FC-04 sound sensor receives sound input (sound code). The FC-04 sound sensor can only provide a digital output signal with a value of 1 and 0 in the form of a clap, which is then accumulated on Arduino with a value above 400 million by the program uploaded to be used as a 5-volt output to turn on/off the lights. This is because when turning on the lights from a certain distance, several factors can affect it, including setting the sound sensor's sensitivity and noise levels in the surrounding area.
Co-Authors Gede Erik Aktama Janne Ticoh Laloan, Adityo Clinton Nelwan, Allan Pinrolinvic D.K. Manembu Putro, Muhamad Dwisnanto Seke, Fransiskus Royke Simbolon, Rosdiana Sumendap, Andreas Wauran, Alfrets