Peephole - Brinno USA - hole camera
Talk to one of our software experts for free. They will help you select the best software for your business.
Visual Lightingdesign Software
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Nasution, Muhammad Rangga Aziz, Herfandi Herfandi, Ones Sanjerico Sitanggang, Huy Nguyen, and Yeong Min Jang. 2024. "Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning" Sensors 24, no. 2: 702. https://doi.org/10.3390/s24020702
Visual Lightingonline
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Nasution MRA, Herfandi H, Sitanggang OS, Nguyen H, Jang YM. Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning. Sensors. 2024; 24(2):702. https://doi.org/10.3390/s24020702
Visual Lightingcalculation
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Nasution, M.R.A.; Herfandi, H.; Sitanggang, O.S.; Nguyen, H.; Jang, Y.M. Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning. Sensors 2024, 24, 702. https://doi.org/10.3390/s24020702
Nasution, M.R.A.; Herfandi, H.; Sitanggang, O.S.; Nguyen, H.; Jang, Y.M. Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning. Sensors 2024, 24, 702. https://doi.org/10.3390/s24020702
Visual LightingTutorial
The Visual programs are lighting software that is comprehensive and designed for professionals in the industry. Visual Lighting and Visual Controls are desktop applications that increase productivity and accuracy. They automate the design process. Visual Lighting is a software tool that allows you to create a lighting design for both interior and exterior spaces. This powerful modeling software combines energy calculation and lighting tools to create lighting designs. It also provides extensive intelligence and analysis for advanced lighting projects. Visual Controls is a complete design software that creates lighting controls designs for a space. The software is simple to use and offers product recommendations, assists in product placement, and automates design.
Nasution, Muhammad Rangga Aziz, Herfandi Herfandi, Ones Sanjerico Sitanggang, Huy Nguyen, and Yeong Min Jang. 2024. "Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning" Sensors 24, no. 2: 702. https://doi.org/10.3390/s24020702
Nasution MRA, Herfandi H, Sitanggang OS, Nguyen H, Jang YM. Proximity-Based Optical Camera Communication with Multiple Transmitters Using Deep Learning. Sensors. 2024; 24(2):702. https://doi.org/10.3390/s24020702
Abstract: In recent years, optical camera communication (OCC) has garnered attention as a research focus. OCC uses optical light to transmit data by scattering the light in various directions. Although this can be advantageous with multiple transmitter scenarios, there are situations in which only a single transmitter is permitted to communicate. Therefore, this method is proposed to fulfill the latter requirement using 2D object size to calculate the proximity of the objects through an AI object detection model. This approach enables prioritization among transmitters based on the transmitter proximity to the receiver for communication, facilitating alternating communication with multiple transmitters. The image processing employed when receiving the signals from transmitters enables communication to be performed without the need to modify the camera parameters. During the implementation, the distance between the transmitter and receiver varied between 1.0 and 5.0 m, and the system demonstrated a maximum data rate of 3.945 kbps with a minimum BER of 4.2 × 10 − 3 . Additionally, the system achieved high accuracy from the refined YOLOv8 detection algorithm, reaching 0.98 mAP at a 0.50 IoU. Keywords: optical camera communication; proximity; multiple transmitters; object detection