DEVELOPMENT OF A COLOUR-OBJECT SORTING ROBOTIC ARM SYSTEM USING A PIXY2 CAMERA
Keywords:
Object-Sorting System,, Arduino Nano Microcontroller, Pixy2 Camera, Robotic Arm, Conveyor System, Colour Identification, AutomationAbstract
There are growing needs for detection and sorting of objects owing to the large
application of artificial intelligence in industrial and agricultural engineering
applications, among other fields. Object detection is extensively used in various areas of
the knowledge society to offer assistance whenever necessary. There is need to develop
sorting systems that are completely automated to reduce these challenges. This paper
describes the implementation and testing of an object-sorting system based on colour
using a robotic arm, arduino nano microcontroller, pixy2 camera and a conveyor system.
The system was designed to sort objects into different categories based on their
dominant colour, as identified by the camera and processed by the microcontroller.
Using a predetermined colour identification algorithm, this model assessed the ability of
a robotic arm to sort various objects. The robotic arm acted as the sorting mechanism,
picking up objects from the conveyor and placing them into designated containers. The
system was tested with a variety of objects with different colours and shapes. It was
found to have an accuracy rate of 85% in colour detection and sorting, a low latency
value of 30%, object orientation of 45 % and robustness against different lighting
conditions. The obtained values demonstrated the effectiveness, accuracy, and costeffectiveness
of employing computer vision in conjunction with a robotic arm for
sorting objects, based on colour and shape. The study therefore provides a system that
represents a promising solution for automating colour-based object sorting tasks.
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