Perancangan Alat Penangkap Gambar Pelaku Kejahatan Berbasis Node MCU ESP32 CAM

Wire Bagye, Ichwan Purwata, Maulana Ashari, Saikin Saikin

Abstract


Gambar merupakan salah satu alat bukti tindak kejahatan. Gambar dapat memberikan banyak informasi dianataranya tentang pelaku, jam kejadian, cara terjadi dan lainnya. Ada banyak alat yang telah dihasilkan dengan menggunakan Node MCU ESP32 CAM. Penggunaan ESP 32 CAM karena memiliki fitur kemampuan menangkap gambar dengan modul kamera yang telah terpasang. Penggunaan ESP 32 CAM banyak digunakan pada proyek Internet of Things (IoT) karena memiliki modul Wifi yang terpasang onboard. Pada proyek penangkap gambar yang mendeteksi manusia maka ESP 32 CAM membutuhkan modul tambahan sebuah Sensor PIR Motion. Ada banyak jenis sensor PIR Motion dengan jarak jangkau yang beragam dan waktu respon yang berbeda. Pada penelitin ini dilakuakan pengujian beberapa jenis sensor PIR Motion untuk mendapatkan data PIR Motian dengan jangkauan terjauh dan respon tercepat. Dikembangkan rancangan alat penangkap gambar berbasis ESP 32-CAM. Hasil penelitian menunjukkan bahwa sensor PIR Motion terbaik ialah seri HC-SR501 dan rancangan rangkaian alat penangkap gambar dapat bekerja pada ruang gelap dan memiliki sumber tegangan sendiri dari batrai yang dapat diisi ulang.

Pictures are one of the evidence of a crime. Images can provide a lot of information including about the perpetrator, the time of the incident, how it happened and others. There are many tools that have been generated using the Node MCU ESP32 CAM. The use of ESP 32 CAM because it has the ability to capture images with a camera module that has been installed. The use of ESP 32 CAM is widely used in Internet Of Things (IoT) projects because it has a Wifi module installed onboard. In the project of capturing images that detect humans, the ESP 32 CAM requires an additional module, a PIR Motion Sensor. There are many types of PIR Motion sensors with varying ranges and different response times. In this study, several types of PIR Motion sensors were tested to obtain Motian PIR data with the farthest range and fastest response. ESP 32-CAM based image capture tool was developed. The results show that the best PIR Motion sensor is the HC-SR501 series and the design of the image capture device can work in a dark room and has its own voltage source from a rechargeable battery.


Keywords


ESP32 CAM; PIR Motion; Penangkap Gambar

Full Text:

PDF

References


. ataboks, “Jumlah Kasus Kejahatan yang Dilaporkan Menurut Kabupaten/Kota di NTB (2020),” 2020. https://databoks.katadata.co.id/datapublish/2021/11/05/hampir-7-ribu-kasus-kejahatan-terjadi-di-ntb-pada-2020.

. Ai-thinker, “ESP32-CAM CAMera development board,” vol. 1, pp. 0–4, 1375.

. P. Kantha & Priyanka, “Realization of an IoT System to Ensure Doorway Security by Integrating ESP32-CAM with Cloud Server,” pp. 1235–1238, 2020.

. F. Alauddin, “Rancang Bangun Network Attached Storage ( NAS ) Rancang Bangun Network Attached Storage ( NAS ),” 2021.

. D. Noviani and S. Riyanto, “Aplikasi Sistem Keamanan Rumah Berbasis Internet of Things Menggunakan Blynk,” Pros. Semin. Nas. Teknol. Inf. dan Komun., vol. 4, no. 1, pp. 2–3, 2021, [Online]. Available: http://prosiding.unipma.ac.id/index.php/SENATIK/article/view/1946.

. G. Priyandoko, “Rancang Bangun Sistem Portable Monitoring Infus Berbasis Internet of Things,” Jambura J. Electr. Electron. Eng., vol. 3, no. 2, pp. 56–61, 2021, doi: 10.37905/jjeee.v3i2.10508.

. M. Ismail, R. K. Abdullah, and S. Abdussamad, “Tempat Sampah Pintar Berbasis Internet of Things (IoT) Dengan Sistem Teknologi Informasi,” Jambura J. Electr. Electron. Eng., vol. 3, no. 1, pp. 7–12, 2021, doi: 10.37905/jjeee.v3i1.8099.

. M. F. Wicaksono and M. D. Rahmatya, “Implementasi Arduino dan ESP32 CAM untuk Smart Home,” J. Teknol. dan Inf., vol. 10, no. 1, pp. 40–51, 2020, doi: 10.34010/jati.v10i1.2836.

. N. Jaini, E. Asri, and F. Nova, “Sistem Manajemen Kehadiran Menggunakan Metode Face Recognition Berbasis Web,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 2, no. 2, pp. 48–55, Jun. 2021, doi: 10.30630/jitsi.2.2.39.

. R. B. S. Bayu, R. P. Astutik, and D. Irawan, “Rancang Bangun Smarthome Berbasis Qr Code Dengan Mikrokontroller Module Esp32,” JASEE J. Appl. Sci. Electr. Eng., vol. 2, no. 01, pp. 47–60, 2021, doi: 10.31328/jasee.v2i01.60.

. H. G. GHIFARI, D. DARLIS, and A. HARTAMAN, “Pendeteksi Golongan Darah Manusia Berbasis Tensorflow menggunakan ESP32-CAM,” ELKOMIKA J. Tek. Energi Elektr. Tek. Telekomun. Tek. Elektron., vol. 9, no. 2, p. 359, 2021, doi: 10.26760/elkomika.v9i2.359.

. A. Rifaini, S. Sintaro, and A. Surahman, “Alat Perangkap Dan Kamera Pengawas Dengan Menggunakan Esp32-Cam Sebagai,” vol. 2, pp. 53–63, 2021.

. P. Rai and M. Rehman, “ESP32 Based Smart Surveillance System,” in 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), Jan. 2019, pp. 1–3, doi: 10.1109/ICOMET.2019.8673463.

. blynk, “A fully integrated suite of IoT software,” 1375. https://blynk-io.translate.goog/?_x_tr_sl=en&_x_tr_tl=id&_x_tr_hl=id&_x_tr_pto=op,sc.

. A. Jeklin, “Arduino Telegram,” 2016. http://www.arduino.web.id/2021/03/bot-telegram-untuk-project-iot.html.

. “MQTT: The Standard for IoT Messaging.” https://mqtt.org.

. Z. B. Abilovani, W. Yahya, and F. A. Bakhtiar, “Implementasi Protokol MQTT Untuk Sistem Monitoring Perangkat IoT,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 2, no. 12, pp. 7521–7527, 2018, [Online]. Available: http://j-ptiik.ub.ac.id.

. A. Setiawan and A. Irma Purnamasari, “Pengembangan Passive Infrared Sensor (PIR) HC-SR501 dengan Microcontrollers ESP32-CAM Berbasiskan Internet of Things (IoT) dan Smart Home sebagai Deteksi Gerak untuk Keamanan Perumahan,” Prosisiding Semin. Nas. SISFOTEK (Sistem Inf. dan Teknol. Informasi), vol. 3, no. 1, pp. 148–154, 2019, [Online]. Available: http://seminar.iaii.or.id/index.php/SISFOTEK/article/view/118.

. A. A. Ashar and D. H. R. Saputra, “Design and Build a Safe Security System Using RFID With e-KTP as a Tag and Monitoring With IoT-Based Esp32-CAM With Telegram Notifications,” Indones. J. Innov. Stud., vol. 15, pp. 1–13, 2021, doi: 10.21070/ijins.v13i.527.

. M. Z. H. Zim, “TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC,” Cornel University, 2021.

. K. Dokic, “Microcontrollers on the edge – is esp32 with CAMera ready for machine learning?,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2020, vol. 12119 LNCS, pp. 213–220, doi: 10.1007/978-3-030-51935-3_23.

. H. Fitri and D. Ivan Finiel Hotmartua Bagariang, “Pemanfaatan Esp32-CAM Untuk Mengukur Ketinggian Air Menggunakan Metode Image Processing,” Semin. Nas. Terap. Ris. Inov. Ke-6 ISAS Publ. Ser. Eng. Sci., vol. 6, no. 1, pp. 762–769, 2020.

. B. H. Sirenden, A. Manao, and N. Mn, “JoTP Development of CAMera-Based Rainfall Intensity,” vol. 3, no. 2, pp. 89–100, 2021, doi: https://doi.org/10.32734/jotp.v3i2.5407.

. A. Putra, M. Susilo, D. Darlis, and D. A. Nurmantris, “Pengenalan Wajah Berbasis Esp32-Cam Untuk Sistem Kunci Sepeda Motor Esp32-Cam-Based Face Recognition For Motorcycle,” vol. 8, no. 2, pp. 1091–1103, 2021, doi: https://doi.org/10.25124/jett.v8i2.4199.

. Y. Rahmawati, I. Uli, V. Simanjutak, and R. B. Simorangkir, “Volume 4 Nomor 2 Juli 2022 Rancang Bangun Purwarupa Sistem Peringatan Pengendara Pelanggar Zebra Cross Berbasis Mikrokontroler ESP-32 CAM,” Jambura J. Electr. Electron. Eng., vol. 4, no. 2, pp. 191–192, 2022.

. N. G. Lam, “Vehicle Speed Measurement Using,” UNIVERSITY OF APPLIED SCIENCES, 2021.




DOI: https://doi.org/10.37905/jjeee.v5i1.16871

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Published by:
Electrical Engineering Department
Faculty of Engineering
State University of Gorontalo
Jenderal Sudirman Street No.6, Gorontalo City, Gorontalo Province, Indonesia
Telp. 0435-821175; 081340032063
Email: redaksijjeee@ung.ac.id/redaksijjeee@gmail.com

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.