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The project involves the implementation of a web-based system for controlling a motor and displaying temperature and humidity data from sensors. The system utilizes a web server to host a user interface accessible through a web browser. Users can interact with the interface to remotely control the motor's operation. Additionally, real-time temperature and humidity readings from sensors are collected and displayed on the web server interface, providing users with insights into environmental conditions. This integration of motor control and environmental monitoring enhances the system's utility and allows for remote management and monitoring from anywhere with internet access. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) and Augmented Reality (AR) represent two technologies that, when combined, create a potent synergy that enhances user experiences, data visualization, and operational efficiencies. IoT involves connecting devices and sensors to collect and process vast amounts of data, while AR overlays digital information onto the physical world, providing users with a visual interface to interact with digital data. Combining IoT with AR allows users to visualize IoT-generated data in real-time through AR interfaces transforming raw data into intuitive, interactive visualizations, making complex information easily accessible and understandable. This paper presents the development of an electric energy meter using the PZEM-004T sensor. The sensor is connected to an ESP32 microcontroller that collects measurement data: voltage, current, power, energy, and forwards them to an IoT platform. The AR application enables visualization of that data in 3D by directing the smartphone camera at the target image. The primary objective of this project is to enhance the user experience by leveraging augmented reality (AR) to visualize IoT sensor data in a three-dimensional (3D) space. This approach aims to move beyond the conventional two-dimensional (2D) display commonly used in IoT cloud platforms. [ABSTRACT FROM AUTHOR]

One of the most important facilities of an object, today, are security and protection. Internet of Things (IoT) technology greatly facilitates the communication and display of various devices, as well as their management from great distances. The paper will present the development of the software and hardware of the alarm system. The system is based on an ESP32 microcontroller, which is communicated with and controlled using the Blynk application via computer or a smartphone. Such systems make it easier for the emergency services to reach the part of the building where the cause of the danger is in the shortest possible time, and remove it. They also speed up the process of evacuating people from the facility. Such systems save lives and property and are indispensable in today's world. [ABSTRACT FROM AUTHOR]

Freshwater lobsters have a high mortality rate due to poor water quality or cannibalism between lobsters. In the lobster cultivation process, the process of monitoring water quality and feeding is done manually so that it has problems in the monitoring and feeding process that is carried out at night because lobsters are nocturnal animals. This study uses freshwater crayfish with the type of red claw with a total of 20 lobster seeds in 2 ponds with an Internet of Things-based system and integrated web monitoring and without an IoT system. This study aims to build a system that can increase the survival of freshwater crayfish using an IoT-based system called Smart Lobster Feeder. The analytical methods used include Observation, Literature Study, and Interview. The development method used is the waterfall method with 6 stages of the process, namely Planning, Analysis, Design, Implementation, Testing, and Verification. This research uses the ESP8266 microcontroller, ESP32 Cam, water salinity sensor, pH sensor, temperature sensor, ultrasonic, and website monitoring. The results in this study obtained a sensor error rate value of < 1.5%, UAT results of 94%, automatic feeding according to the specified hour, and a survival rate of 100%. From the study results, it can be concluded that the IoT system can increase the survival rate of freshwater crayfish, has a sensor error rate that is by established standards and is a feasible system to implement. [ABSTRACT FROM AUTHOR]

Person detection is an interesting machine learning application that can be implemented in embedded devices. One such need is to automate an alarm system to detect whether a person that works in a Point of Sale is indeed working at his/her working time. This presence monitoring system can be automated by using an esp-eye development board by Espressif. In this paper, the key important aspect of modelling the person detection behavior is discussed and implemented in ESP32 technologies. The rate of accuracy in detecting a person's presence is up to 65% based on a four (4) minute window-time, and therefore it is reliable to be used as a person's monitoring automated system, based on the current requirement from the food industry. The inference time is circa 0.7 MS, that is the time between each sample in a situation whether a person is in front of the camera or not. [ABSTRACT FROM AUTHOR]

As a tropical country, Indonesia is located below the equator and has sunshine all year round, the sun's rays have been used to dry wet clothes after people wash their clothes. However, with climate change happening, the current weather is difficult to predict. there are many chances of clothes getting wet due to unexpected rain. Especially now that people are busy at work and clothes are hung unattended. To solve this problem, many projects have been carried out, such as standalone clothes drying system, web-based drying clothes system, and the most advanced is clothes drying system that recycle AC heat waste as source of heat. In this paper, automatic clothes retriever (ACR) equipped with mobile apps-based monitoring system was made. Using the ESP32 as the main controller, LDR, rain sensor, limit switch, motor, fan and heating lamp, the ACR will automatically recognize the weather and retrieve-out or retrieve-in the hanger to protect clothes from unexpected rain. As a result, ACR managed to respond to weather change, by retrieveinning the clothes hanger in 14.82 seconds with 10 Kg clothes on it. During the experiment, the maximum energy consumption of ACR was measured, which is 0.289KWh in one hour with full load in the system. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Arduino board is the popular open-source hardware that can be integrated into a variety of electronic projects. The Internet of Things (IoT) refers to the network of physical objects--"things"-- equipped with sensors which collect data, for the purpose of connecting and exchanging data with other devices over the internet. Arduino can be connected with various Internet of Things (IoT) platforms that can be used for the storage of real-time streaming sensor data. Augmented Reality is a technology that combines virtual reality with our physical world. Viewing the real world through the screen of a device, usually a mobile phone, the computer-generated digital content is layered over the physical world in a way that makes it appear to be part of the real environment. The aim was to represent collected data into the physical world using Augmented Reality. In this project, Augmented Reality is used to monitor the data captured by sensors connected to IoT board. In our case, the environmental data: indoor air temperature and humidity are captured by sensors connected to Arduino microcontrollers. The board is connected to the cloud server and sends sensor data to an Augmented Reality App. The app projects the sensor data as the camera of the mobile phone focus on a target image. The project shows that data can be visualized using Augmented Reality. [ABSTRACT FROM AUTHOR]

Copyright of CISTI (Iberian Conference on Information Systems & Technologies / Conferência Ibérica de Sistemas e Tecnologias de Informação) Proceedings is the property of Conferencia Iberica de Sistemas Tecnologia de Informacao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Person detection is an interesting machine learning application that can be implemented in embedded devices. One such need is to automate an alarm system to detect whether a person that works in a Point of Sale is indeed working at his/her working time. This presence monitoring system can be automated by using an esp-eye development board by Espressif. In this paper, the key important aspect of modelling the person detection behavior is discussed and implemented in ESP32 technologies. The rate of accuracy in detecting a person's presence is up to 65% based on a four (4) minute window-time, and therefore it is reliable to be used as a person's monitoring automated system, based on the current requirement from the food industry. The inference time is circa 0.7 MS, that is the time between each sample in a situation whether a person is in front of the camera or not. [ABSTRACT FROM AUTHOR]

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Congreso Internacional de Investigacion Academia Journals is the property of PDHTech, LLC and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)