| dc.description.abstract | This project presents the development and implementation of an automated color and metal
sorting system designed to enhance industrial sorting processes. The system employs a
conveyor belt equipped with integrated color and metal sensors to detect and classify objects
based on their material composition and color properties in real-time. The sensors, strategically
positioned along the conveyor belt, identify objects as they pass through the system. Detected
objects are then categorized based on predefined criteria, such as specific color ranges and
metallic or non-metallic properties.
The system incorporates a robotic arm equipped with advanced control algorithms to ensure
precise object handling. Once the sensors detect and classify an object, the robotic arm is
activated to pick and place the object in designated bins or locations. The arm’s movement is
optimized for speed and accuracy, enabling seamless integration with the conveyor system.
This setup significantly reduces manual labor and increases operational efficiency in sorting
tasks.
The system is particularly suited for industries where accurate sorting of materials is crucial,
such as recycling, manufacturing, and quality control. By combining color detection and metal
identification, the system ensures high accuracy in sorting mixed materials, which is often
challenging in traditional systems. Additionally, the modular design allows for scalability and
adaptability to various industrial environments.
Preliminary testing demonstrates the system's ability to handle diverse object types and sizes
with high reliability and efficiency. The integration of sensors and robotics not only streamlines
the sorting process but also minimizes errors, offering a cost-effective solution for industries
aiming to optimize their operations. This study highlights the potential for advanced sensor and
robotic technologies to revolutionize material sorting, paving the way for more automated and
intelligent industrial workflows. | en_US |
