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Doorbell monitoring system using ESP32-CAM based on Internet of Things (IoT) Zakaria, Rahman; Dewi, Citra; Hastuti; Ranuharja, Fadli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One use of internet of things (IoT) technology is in remote monitoring systems, for example home monitoring systems. One medium that can be used to control an IoT system is a messaging application.  In this research, a doorbell monitoring system using IoT-based ESP32-CAM was designed by connecting the doorbell with the ESP32-CAM. ESP32-CAM is used as a microcontroller that connects all devices. The advantage of the ESP32-CAM is that it has Wi-Fi, Bluetooth, a secure digital (SD) card module, and a camera that is directly embedded on the board. The doorbell and ESP32-CAM are connected to each other with the door lock solenoid and power supply. To operate the tool, a Telegram messaging application is used using Telegram's bot. Telegram bots can be accessed with a bot ID and bot token created using BotFather. This system has no noise when the doorbell is pressed. The ESP32-CAM camera can take good quality images and testing on the chat bot went well. The door lock solenoid can work according to commands in the Telegram chat bot and all commands have been tested and provide information in the form of chat in the form of text and images. The research results of this system allow homeowners to see and monitor guests via smartphone in real-time with a time range of 3 to 6 seconds
Smart belt for the visually impaired to detect obstacles and track position Jiadi, Naufal; Dewi, Citra; Hastuti; Ranuharja, Fadli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/w648fn97

Abstract

Mobility remains a significant challenge for individuals with visual impairments due to the difficulty in detecting obstacles around them. This study aims to design and develop a Smart Belt to assist visually impaired users by detecting obstacles and tracking their location in real time. The Smart Belt is equipped with a VL53L0X LiDAR sensor to detect frontal obstacles and a NEO-6MV2 GPS module for location tracking. Data collected from the sensors is processed by an ESP32 microcontroller and delivered to the user via a Telegram bot as notifications. Testing results indicate that the device is capable of accurately detecting obstacles and providing vibration alerts, while also successfully transmitting location coordinates to Telegram with satisfactory accuracy. This innovation is expected to enhance the independence and safety of visually impaired individuals in their daily activities
LPG gas leak security system using Microcontroller based Android  application Fauzi, Rahmad; Islami, Ta ali; Maulana, Ricky; Ranuharja, Fadli
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 2 (2024): Vol 1 No 2 (2024): December 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/vzpzkp89

Abstract

The use of Liquid Petroleum Gas (LPG) among Indonesian people continues to increase from year to year. One of the causes of this condition is kerosene which is scarce and difficult to obtain. However, the recent increase in fires and accidents caused by leaking and exploding LPG gas cylinders has become a frightening thing for people who use this gas. LPG gas is known for its flammable nature so leaks from LPG equipment pose a high risk of fire. Due to its sensitive nature, special attention needs to be paid to this type of fuel. This research aims to produce a design for a leak detection tool for LPG gas cylinders via an Android smartphone. This research uses experimental methods to ensure the suitability of the resulting tools to the expected standards. The test results show that the results of design and testing, this microcontroller-based LPG gas leak detection tool using an Android application shows effectiveness in detecting gas leaks at dangerous levels and is able to provide early warning to users. This tool can identify various gas concentration levels through the MQ-2 sensor and send notifications to the mobile application when the gas content exceeds safe limits.