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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM62846

SMART HOME GATE AUTOMATION USING FACE RECOGNIZATION

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62846

Volume:

10 |

5 |

May 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSI

Miss. Samruddhi Ingavale

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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RBA

Rahul Basavaraj Amate

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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PMMAB

Prof. Mr. M. A. Bandi

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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NRS

Nisha Rajesh Shalgar

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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KTG

Karuna Tukaram Godase

Department of Electronics & Computer Science

Dr. A. D. Shinde College of Engineering, Bhadgaon,Gadhinglaj

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Abstract

This project presents a smart and affordable home security system using an ESP32-CAM and a Telegram Bot. The main idea is to improve door security by allowing homeowners to see visitors remotely and control the door lock from anywhere. When someone presses the doorbell, the system captures an image using the camera and sends it to the user through Telegram. The user can then decide whether to lock or unlock the door using simple commands. The system does not require expensive servers or subscriptions, making it cost-effective. The results show that images are delivered within a few seconds, and the system responds quickly to commands. Overall, this project provides a reliable, secure, and modern solution for home security.

KEYWORDS

Face Recognization

Cite This Article

Miss. Samruddhi Ingavale, Rahul Basavaraj Amate, Prof. Mr. M. A. Bandi, Nisha Rajesh Shalgar, Karuna Tukaram Godase, "SMART HOME GATE AUTOMATION USING FACE RECOGNIZATION," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-4, May 2026.

Full Article/Conclusion

This project successfully demonstrates a smart home security system using IoT technology. It provides real-time monitoring and remote control of door locks in a simple and affordable way. The system overcomes major challenges like hardware conflicts, communication issues, and system delays. It also ensures better privacy compared to commercial systems. In future, this system can be improved by adding features like face recognition, motion detection, and solar power. Overall, it is a practical and innovative solution for modern home security.

References

1. Espressif Systems – ESP32 Technical Manual  2. AI-Thinker – ESP32-CAM Documentation  3. OmniVision – OV2640 Camera Datasheet  4. Telegram Bot API Documentation  5. ArduinoJson Library Documentation  6. ESP32 Arduino Core (GitHub)  7. Random Nerd Tutorials – ESP32-CAM Guide  8. MT3608 Boost Converter Datasheet  9. Samsung 18650 Battery Specifications

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Publication Date

5/8/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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