ABSTRACT
The main tools for allowing customers to communicate openly and transparently with the company and other stakeholders are their electricity bills. However, last year due to pandemics, some residents petitioned the Madras high court claiming TANGEDCO's technique to measure power was arbitrary and unreasonable during the lockdown that COVID provoked. This was done amid complaints about excessive electricity bills. When compared to bills from other states, TANGEDCO's white meter card for energy bills is found to provide insufficient information on use and rates, according to a survey by the certain associations. Power bills urgently need to be redesigned to include comprehensive billing details and accurate assessments of electricity consumption from closed homes or homes in restricted zones. [4] We proposed and designed a Smart Home Energy Meter Monitoring System to solve this crisis. It consists of three systems. First system: Customized built energy meter with LCD. [6] Second system: Wi-Fi module with the Microcontroller (ATMega328P) and an alert system. Third system: Database (MySQL database). [12] The quantity of power used by the device is measured by an energy meter user and every two months, the final reading of the power consumption is taken by the micro controller where the electricity bill calculation program has been pre-programmed to give the value of power consumed during the two months and amount to be paid by the user and [4] It will be shown on the Energy Meter's LCD. The micro controller with a built-in Wi-Fi module (ESP8266) will send these displayed data to the service provider's database. [2] An alert system has been added to counteract the hefty usage and electricity bills to create awareness to the consumer about the slab-wise tariffs increase in the per-unit cost data that has been set by TANGEDCO. [10] The alert has been set in a way that the consumer receives a message for every 200 unit usage of power. The third system is a database created using MySQL database to transport the data to the service provider. © 2022 IEEE.
ABSTRACT
Smart door locking systems have become more sophisticated as technology has advanced. Though an automatic password-based door lock system provides a more secure method of locking and unlocking the system, because of the ongoing COVID situation, it is extremely dangerous to touch the keypads, which are frequently used by different people. Hence, in this project, we use RFID tags and Arduino. The RFID card reader detects and validates the user's access. When the card is brought close to the reader, it recognizes the radio-frequency of the card and thus verifies its authenticity, key along with beeping sound, LCD display and LED blinking. We have also connected a sensor, which will be very useful during the nighttime for operating the door. In addition to this, face recognition technique and SMS alerting system can also be implemented in this project for enhanced security. This system is extremely valuable because of its low cost of construction, advanced capability, and simple interface. A fire alarm can be added to this system. We don't usually have fire alarms at home. Therefore, this device can serve as a lock and a fire alarm. Mainly, this project is designed and implemented to enhance security with ease of convenience. This system can be used in main doors, private rooms, and lockers in our home or even hotel rooms, banks, classrooms, use any other location as a secondary lock for added security. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
ABSTRACT
Thin-film-transistor liquid-crystal displays (TFT-LCDs) have gained popularity due to their widespread use in the production of televisions, laptops, and iPads. TFT-LCD firms' activities that build relationships with suppliers and customers contribute to the emergence of supply networks. A firm's ability to identify risks, however, is complicated, as TFT-LCD supply networks are becoming increasingly global, complex, and interconnected. The extant research on the topological structure of TFT-LCD supply networks is limited, and the risks identified rely on untested assumptions about the topological structure of such networks. To fill these gaps, this study examines the topological structure and COVID-19 related risk propagation in TFT-LCD supply networks from a dynamic perspective. First, the evolution of the topological structure of TFT-LCD supply networks from 2015 to 2020 is explored by constructing a weighted and undirected supply network. Second, the hidden risky sources in TFT-LCD supply networks are revealed by the proposed risk propagation model. The results show that TFT-LCD supply networks are characterised by a ‘hub and spoke' feature and an explicit shift from geographical to global cooperation. Additionally, a ‘robust-yet-fragile' configuration in these supply networks is uncovered, and the hidden risky sources in the main TFT-LCD manufacturers and suppliers and in interfirm cooperations are revealed. These findings will help managers reduce the vulnerability of TFT-LCD supply networks to disruptions and construct more robust and resilient networks.
ABSTRACT
Since the outbreak of COVID-19 pandemic, enormous development has been done in computer vision systems in face masks and temperature detection. To enforce the mandate for wearing the mask in public places, the authors have suggested a solution using transfer learning (MobileNetV2) architecture as a foundation for image classification. The proposed solution is embedded devices with Raspberry Pi4 and python packages viz TensorFlow, OpenCV, and Keras. In this Work, a combination of transfer learning and IoT has been worked out using live streaming to detect an appropriate use of face masks along with body temperature. This technique includes the Single Shot Single box and Multi-box identification of the face mask. Further, a person can check the Temperature at the entrance. This temperature sensor is in noncontact mode, which senses a temperature from 2 cm to 5 cm and is displayed through LCD. It sends the data to the cloud for visualization and analysis, and an alert message is sent in a real-time environment based on that analysis.
ABSTRACT
Social distancing is the one of the preferred ways to get out of the current situation and it has become difficult to follow it. Most people use public transport as a medium to travel. It becomes very difficult to maintain an effective social distance in public transports. So, we have planned to give a solution to address this problem by ensuring safeness in buses. Here, we kept a fixed limit for persons entering into the bus and before that they had to pass the temperature check and mask detection checks. The device consists of a Raspberry pi Module which acts as a system, a Camera module, PIR Sensors, Infrared Temperature Sensors, LCD Monitor. LCD Monitor shows the details of the number of persons that can be accommodated in a particular bus and the number of people present inside the bus. Temperature sensors, such as infrared temperature sensors, are used to detect the temperature of people entering the bus. It is captured and determined whether or not the person is wearing their mask in the entrance by the Camera Module. PIR Sensors are used to monitor the count of the persons entering or exiting the bus which is displayed in the LCD monitor. So, these work together and make the entry screening while entering a transport system. © 2022 IEEE.
ABSTRACT
In this paper we propose the use of secure contactless Electronic Voting Machine(EVM). We used a Radio Frequency Identification(RFID) reader to authenticate the voter's identity, and Infrared(IR) sensors to implement contact-less voting to curb the spread of Covid-19. Significant components used are Arduino Uno, FC-51 Infrared Module, EM-18 RFID reader, keypad, and I2C PCF5874T for Liquid Crystal Display(LCD). The software used to program these components is Arduino IDE. This EVM ensures security in two ways - authorizing the identity of the voters before they are allowed to vote, as well as providing a contact-less experience for the voter. An extra layer of security is added, so that when the candidates and Election Commission are present and enter their respective passwords, only then can the results be accessed. © 2021 IEEE.
ABSTRACT
Due to the spread of COVID-19 across the world and the increased need for non-contact thermometers to prevent the spread of disease, a new electronic thermometer has been designed and implemented for measuring human body temperature from a distance. This device is currently in use at building entrances to measure the body temperatures of employees, students, and customers. This system is designed using low-cost easy-to-assemble open-source electronic components. The system consists of seven main parts: an Arduino UNO microcontroller, an infrared (IR) thermometer for non-contact temperature measurements (GY-906 MLX90614ESF module), an IR motion sensor (TCRT 5000) for the purpose of contactless initiation of the system, a graphic LCD to display results, a DS3231 clock module for a real-time clock and calendar, and a micro-SD storage board to store device audio instructions.