Cloud Based Automation for Industrial Ambient Robotic System

The Cloud-Based Automation of Industrial Ambient Robotic System is designed to enhance industrial automation, safety, and remote monitoring by integrating IoT, cloud computing, and real-time sensor data processing. The system utilizes a Raspberry Pi zero as the central processing unit while incorporating an ESP32 microcontroller to interface with environmental sensors. The ESP32 is responsible for collecting data from DHT11 (temperature & humidity sensor), MQ135 (gas detection sensor), flame sensor, and a buzzer. The remaining components, including ultrasonic sensors, servo motors, relays, and motor driver (L298N) for robotic navigation and obstacle avoidance, remain controlled by the Raspberry Pi. The system employs edge computing to locally process sensor data, reducing cloud dependency and improving response time for critical safety measures. This Project presents the design and development of a cloud-based automated industrial ambient robotic system using an Raspberry pi and ESP32 as the main microcontrollers. The robotic system is controlled via with raspberry pi, which connects to the Adafruit cloud platform, allowing for remote control and automation of industrial processes. This cloud-based approach enhances safety, operational efficiency, and reduces the risks associated with industrial hazards. Cloud-based systems can store vast amounts of data from sensors, machines, and robots in real time. A cloud-based automation industrial ambient robotic system integrates robotics, IoT (Internet of Things), and cloud computing to create an intelligent, scalable environment for manufacturing and logistics operations.