Academic literature on the topic 'ESP8266 WiFi module'

Smart assistive devices for blind and visually impaired (B&VI) people are of high interest today since wearable IoT hardware became available for a wide range of users. In the first project, the Raspberry Pi 3 B board measures a distance to the nearest obstacle via ultrasonic sensor HC-SR04 and recognizes human faces by Pi camera, OpenCV library, and Adam Geitgey module. Objects are found by Bluetooth devices of classes 1-3 and iBeacons. Intelligent eHealth agents cooperate with one another in a smart city mesh network via MQTT and BLE protocols. In the second project, B&VIs are supported to play golf. Golf flagsticks have sound marking devices with a buzzer, NodeMcu Lua ESP8266 ESP-12 WiFi board, and WiFi remote control. In the third project, an assistive device supports the orientation of B&VIs by measuring the distance to obstacles via Arduino Uno and HC-SR04. The distance is pronounced through headphones. In the fourth project, the soft-/hardware complex uses Raspberry Pi 3 B and Bytereal iBeacon fingerprinting to uniquely identify the B&VI location at industrial facilities.

The escalation of regulatory efforts pertaining to air pollution levels is seeing significant growth, emerging as a crucial responsibility for governments in developing nations, with particular emphasis on India. It is important for individuals to possess knowledge on the extent of pollution in their immediate environment and to actively engage in efforts to combat it. Various factors contribute to air pollution, including weather conditions, traffic patterns, the combustion of fossil fuels, and industrial emissions, particularly those from power plants. Among the several constituents of atmospheric composition that contribute to the assessment of air quality, particulate matter has significant importance. When the concentration of this substance is elevated in the atmosphere, it poses significant health risks to individuals. Therefore, it is essential to maintain regular monitoring of its atmospheric concentration in order to exercise control. The identification of this may be achieved by the use of machine learning methods. Consequently, the system would continuously monitor the levels of air pollution in real-time and provide predictions about the future readings within a certain time frame. The data would be sent to the network using WiFi connection. The system consisted of an Arduino UNO V3, an ESP8266 WiFi module, and a MQ2 gas sensor during the first stage of development. This provides assistance to urban planning. Air is an essential component in the existence of human beings. In contemporary society, the escalation of air pollution has become a matter of great concern, leading to the phenomenon of climate change and subsequently imposing detrimental effects on the global population. The atmospheric pollution is attributed to the production of toxic gases by industrial activities and vehicle exhaust, resulting in an escalation of detrimental gases and particulate matter in the surrounding air. The release of diverse harmful gases from industrial and vehicular sources poses a significant threat to both terrestrial organisms and marine ecosystems. The prevalence of health conditions such as stroke, heart illnesses, lung cancer, respiratory disorders, and others is increasing as a consequence of inadequate air quality. The presence of substandard air quality presents a notable hazard to certain vulnerable populations, including children, those with asthma, pregnant women, and the elderly. Furthermore, these pollutants are accountable for the degradation of our infrastructure and cultural landmarks. It is vital for individuals to acquire knowledge about the magnitude of their actions' impact on air quality. According to statistical data from the World Health Organisation (WHO), a significant number of early deaths occur annually on a global scale as a result of air pollution. The findings of several research have shown that particulate matter plays a significant role in the escalation of air pollution. Consequently, air quality has emerged as a significant global problem. Therefore, it is important to consistently check the air quality index in order to cultivate a healthy surrounding environment that is conducive to human habitation