Manufacturing A Low-cost Telegram and Optical Character Recognition-based Indoor Air Quality Monitoring Data Logger

Pramono, Andi, Budiman, Satrio Arif, Farchan, Muchammad and Mappaturi, Andi Baso Manufacturing A Low-cost Telegram and Optical Character Recognition-based Indoor Air Quality Monitoring Data Logger. Presented at 2023 International Conference on Information Management and Technology (ICIMTech).


Download (644kB) | Preview


Abstract— Urban air is frequently contaminated with CO,
CO2, VOC, HCHO, PM 2.5, and PM 10. Rural regions are at a
lower risk than those near roads and industrial areas that
produce emissions. Air pollutants negatively affect its
inhabitants' health, particularly the respiratory system. Most
people will spend more time indoors, requiring a method for
monitoring indoor air quality (IAQ). Urban communities need
IAQ monitoring instruments as an early warning system for
their health. This research seeks to produce inexpensive IAQ
that can be utilized by all levels of society, particularly urban
communities. This research utilizes a qualitative, designthinking-based

methodology. The research diverged from
Empatize, which asserts that urban communities require a
method for determining the local air quality. Moreover, it is
determined at the define stage that IAQ monitoring, which
includes a data log feature, is still comparatively expensive, so a
solution is developed at the ideate stage. Creating a prototype is
the next step in realizing the specified solution. In this
investigation, they decided to use IAQ monitoring, which is
relatively inexpensive but lacks log data storage. The author
uses the ESP32-cam microcontroller to capture the screen
display device, and the resulting image is sent to a telegram and
processed with optical character recognition (OCR) to generate
a data log. The results of prototype testing are utilized for
prototype development.

Item Type: Conference (Paper)
Keywords: air pollutan; health; IAQ; respiratory system; urban
Subjects: 12 BUILT ENVIRONMENT AND DESIGN > 1201 Architecture > 120106 Interior Design
Divisions: Faculty of Technology > Department of Architecture
Depositing User: Andi Baso Mappaturi
Date Deposited: 12 Jan 2024 11:23


Downloads per month over past year

Origin of downloads

Actions (login required)

View Item View Item