Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)

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Smart Home Monitoring and Control with Human Detection and Telegram Messages using ESP32-Wrover CAM

Authors
Mochamad Fajar Wicaksono1, *, Myrna Dwi Rahmatya2, Aqsa Chalik Faturohman3
1Computer Technic, Universitas Komputer Indonesia, Bandung, Indonesia
2Informatic Management, Universitas Komputer Indonesia, Bandung, Indonesia
3Computer System, Universitas Komputer Indonesia, Bandung, Indonesia
*Corresponding author. Email: mfajarw@email.unikom.ac.id
Corresponding Author
Mochamad Fajar Wicaksono
Available Online 16 December 2025.
DOI
10.2991/978-94-6463-924-7_5How to use a DOI?
Keywords
Smart Home; ESP32-Wrover CAM; Human Detection; Telegram Bot; Monitoring and Control
Abstract

This study aims to develop a smart home monitoring and control system using the ESP32-WROVER CAM module. Homeowners are able to control the system from their phone's Telegram app, and it can provide instant notifications if unauthorized entry, gas leakage, or fire is detected. The experimental method was used in this paper. The hardware design features the ESP32-WROVER CAM, a gas sensor, a flame sensor, a relay, a solenoid door lock, a buzzer, and a light. The software scripts utilize Arduino C, TensorFlow Lite library, and Telegram bot. The TensorFlow Lite model runs locally on the device to detect humans, and Telegram sends images, alerts, and commands to actuators. The tests showed that the system was able to detect humans, gas leakage, fire, and then act on commands from the homeowner with 100% percentage. The high performance of the system was due to the solidly designed hardware components and effective utilization of PSRAM memory on the ESP32-WROVER CAM for local inference with TensorFlow Lite, which allows the product to run reliably without internet access. In conclusion, the proposed system achieves its intended function by providing a design implementation for the four criteria of home monitoring and control.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)
Series
Advances in Engineering Research
Publication Date
16 December 2025
ISBN
978-94-6463-924-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-924-7_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mochamad Fajar Wicaksono
AU  - Myrna Dwi Rahmatya
AU  - Aqsa Chalik Faturohman
PY  - 2025
DA  - 2025/12/16
TI  - Smart Home Monitoring and Control with Human Detection and Telegram Messages using ESP32-Wrover CAM
BT  - Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)
PB  - Atlantis Press
SP  - 37
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-924-7_5
DO  - 10.2991/978-94-6463-924-7_5
ID  - Wicaksono2025
ER  -