FIGURE 1. Conventional baby cradle. FIGURE 2. Flowchart of research activities. FIGURE 3. Baby cradle design. FIGURE 4. Cradle fabrication process. FIGURE 5. (a) Rotating wheel; (b) 3D printed box for sound sensor. FIGURE 6. Component circuit diagram. FIGURE 7. Proteus stimulation of the control circuit. FIGURE 8. (a) Side view of the electrical box; (b) MD10-POT 10Amp DC motor driver. FIGURE 9. Rotating mechanism of the baby cradle. FIGURE 11. Connection of the sensors and actuators on the breadboard. FIGURE 12. Pin solder connection. FIGURE 14. (a) loT-BBMS architecture (b) Installation of all components in an electrical box. NodeMCU, which is a low-cost thumb-sized microcon- troller, is used as the central controlling unit. NodeMCU is an open-source software and development board that is embedded with a System-on-chip (SoC) named ESP8266. A condenser MIC is used to detect the crying of the baby and to provide the signal to the microcontroller. FIGURE 13. Actual connection on donut board. and implemented in NodeMCU controller to perform the required monitoring and control tasks. A temperature and humidity sensor, DHT22, is used in the proposed system to measure the room temperature. This system consisted of a four-channel relay module, which is controlled by the microcontroller. When the condenser MIC detected sound from the baby, a signal is sent to NodeMCU. NodeMCU switches the relay that is connected to a DC motor, which in turn is connected to the cradle for swinging purposes. The temperature and humidity sensor measures the room temperature, records the readings in the NodeMCU, and uploads the readings to the MQTT server at the same time. If the room’s temperature exceeded a certain temperature, then the NodeMCU switches on the relay connected to the mini fan to lower the temperature and cool the baby, as well as prevent overheating. An external Wi-Fi camera is used in this system to allow the parent to monitor the real-time baby condition. In the developed system, Algorithm | is developed Adafruit.io is used as the MQTT server for this system. The measured readings including the condition of the relay switches, whether the switches are on or off, are uploaded to the server through the NodeMCU microcontroller. When the users control the system using their laptops or smartphones outdoor, the command is sent to the NodeMCU through the MOTT server. NodeMCU then sends a signal to switch on/off the respective relay switches based on the user’s preference from the Adafruit.io Server Interface by using their fingertips. E. SYSTEM OPERATION MECHANISM Figure 15 shows the flowchart of the general work flow of the baby monitoring system. The NodeMCU had to be connected to the pre-set Wi-Fi network when power of the FIGURE 15. Flowchart of the system. FIGURE 16. Smart cradle final prototype. FIGURE 18. User interface on the Adafruit.io MQTT server webpage. FIGURE 17. Process of synchronizing apps with MQTT server. FIGURE 19. MQTT dash mobile application interface. FIGURE 20. Notification to the user through IFTTT application. FIGURE 22. Sensor and actuator status: (a) OFF State; (b) ON State. TABLE 1. Design of baby cradle using NX10 software. be distinguished, i.e., whether it is low, medium, or high dB crying. The motor attached to enable the swing process can be coded to vary its speed according to the measured dB(s). The 12 V DC geared motor can be changed to 12 V stepper motor given that the rotation direction of the stepper motor can be changed by coding. Furthermore, additional wearable sensors to monitor various baby conditions can be installed. Regarding the utilized GUI that is based on
