Conveyor Belt Control System with ESP8266 and Servo Motor for Item Sorting
The primary objective is to enhance operational efficiency, reduce manual intervention, and enable seamless integration with IoT-based systems. The system employs an ESP8266 microcontroller to manage the conveyor belt's movement, speed, and direction. Sensors are integrated to detect the presence and type of objects on the belt, measuring their speed and ensuring proper alignment. A servo motor is used to sort items into different bins based on predefined criteria, such as size, color, or type.
The sorting process can be demonstrated effectively by separating objects of different colors using a color sensor. For instance, the system can separate red and blue objects into two different bins. The color sensor detects the color of each item as it moves along the conveyor belt, and the servo motor then directs the item to the appropriate bin.
Collected data is transmitted wirelessly to a cloud server, allowing for real-time analysis and control. A mobile application or web interface enables users to start, stop, and control the conveyor belt remotely, displaying real-time data on the belt's status, such as speed, item count, and sorting performance. Alerts and notifications can be configured to inform users of any issues or required maintenance, ensuring timely intervention and minimizing downtime.
The ESP8266-based conveyor belt control and sorting system offers a cost-effective and scalable solution for industrial automation. It improves operational efficiency, enhances safety, and provides valuable data insights for optimizing conveyor belt performance. This project demonstrates the potential of IoT technologies in transforming traditional manufacturing and material handling processes.
Related project idea for free
Vehicle collision avoidance IOT system
Driver-assistance systems called collision avoidance systems, sometimes known as crash avoidance systems, use sensors and algorithms to identify possible hazards or obstructions and issue alerts to the driver to help prevent a collision. A collision avoidance system is a type of safety device used t...
Read more>>Household pollution monitoring and prediction system using IOT
Indoor pollution has become a concern all over the world. The means of source of fire in low-income and middle-income countries use firewood, charcoal, and liquefied petroleum gas (LPG) for cooking daily. According to the world health organization, an estimated 1.6 million people die annually due to...
Read more>>Smart airtime vending machine
The most important intention of this thesis includes undertaking modern technology by designing and implementing a smart airtime vending machine known as a self-service airtime vendor machine that will come as an additional method apart from the current airtime selling and buying methods which are m...
Read more>>IoT-based conversational AI Recommender assistant for vital sign predicted anomalies
In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, it is likely that accessing a healthcare physician for assessing potential vital sign anomalies and providing a recommendation will be impossible; thus potentially putting the patient a...
Read more>>Crop conditions monitoring using IOT and transfer learning: Case study Maize in Rwanda
Food insecurity is a huge problem that is affecting countries under development, particularly in sub-Saharan Africa. The ability to collect data with high resolution and field wide in precision agriculture has come to the attention of key players in agronomic crop production as well as in agronomica...
Read more>>