International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024
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p-ISSN: 2395-0072
Vision-Based Robot Manipulator for Efficient Object Sorting in Small Warehouses Viraj Jadhav1, Jayesh Patil2, Shivraj Patil3, Prachi Kulkarni4, Vishal Chavan5 1,2,3,4
Student, Dept of Mechanical Engineering, PVG’s COET PUNE, Maharashtra, India Professor, Dept of Mechanical Engineering, PVG’s COET PUNE, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------5
Abstract - This study presents the development and
error rates. Organized warehouses are adopting advanced automation systems and systematic inventory management systems. Implementing vision-based object sorting robot manipulators can enhance efficiency and accuracy across both organized and unorganized warehouses by automating sorting and reducing the dependency on manual labor.
implementation of a vision-based object-sorting robot manipulator specifically designed for small warehouses in the logistics industry. The robot is a 3D-printed prototype equipped with a Raspberry Pi 4 and a camera to scan QR codes on the packages. It has four degrees of freedom (DOF) and utilizes servomotor drivers along with an external power supply to ensure smooth operation. The robot sorts packages efficiently according to their delivery destinations encoded in the QR codes. The proposed system aims to enhance the package handling efficiency in small-scale warehouse operations.
3. Methodology 3.1 Hardware Design The robot's body is entirely 3D-printed, which ensures cost-effectiveness and ease of customization. The manipulator was designed with four degrees of freedom (DOF), providing sufficient flexibility for sorting tasks.
Key Words: Vision-Based Sorting, Robot Manipulator, Logistics, Small Warehouses, 3D Printing, Raspberry Pi, QR Code Scanning etc
1.INTRODUCTION The logistics industry increasingly relies on automation to improve the efficiency and accuracy of package handling. Traditional sorting methods are often labor-intensive and prone to errors, particularly in small warehouses. This study introduces a vision-based object-sorting robot manipulator designed to address these challenges by automating the sorting process based on QR codes. The design, implementation, and performance of the robot are discussed in detail. Fig -2: 3D Printed Robotic Arm
2. Market Study
3.2 Components and Integration Raspberry Pi 4B
PCA 9685 Servo Motor Driver
Fig -1: Market Study of Warehouses In the logistic industry, 90% of the warehouses are unorganized and heavily reliant on manual labor with no structured systems, resulting in inefficiencies and higher
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Fig -3: Components & Connection Diagram
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