Object Segregation Using Micro controller

Registration ID: IJNRD_197736

Published ID: IJNRD2305912

DOI: Click Here to Get

Rushikesh Narendra Phakatkar , Tushar Edake , Vikram Pawar , Anuj Patil

Automation

Abstract: Object segregation is an important task in many fields, including robotics, automation, and computer vision. The ability to differentiate and classify objects plays a crucial role in enabling intelligent systems to interact with their environment effectively. This abstract presents an overview of object segregation techniques using a micro controller. The objective of this research is to develop a system that can accurately identify and segregate objects based on their physical characteristics or visual features. A micro controller, a compact and versatile integrated circuit, is employed as the central processing unit for the system. The micro controller acts as the brain, receiving input from various sensors and implementing algorithms to perform object segregation tasks. The proposed system employs a combination of sensors such as cameras, proximity sensors, and force sensors to gather information about the objects in the environment. The micro controller processes the sensor data and applies computer vision algorithms to extract relevant features, such as shape, color, or texture, for object identification and segregation. Machine learning techniques can also be utilized to train the system for improved object recognition accuracy. The micro controller executes algorithms to classify and categorize the objects based on the extracted features. It then controls actuators or robotic arms to physically segregate the objects into different bins, containers, or areas based on their assigned categories. This process can be applied in various applications, such as automated sorting systems in industries, waste management systems, or even in autonomous robots for object manipulation. The advantages of using a micro controller for object segregation include its low cost, compact size, and ease of integration with different sensors and actuators. Additionally, the micro controller provides real-time processing capabilities, enabling efficient and timely object segregation. The system's flexibility allows customization and scalability to accommodate different environments and objects. In conclusion, this abstract highlights the concept of object segregation using a micro controller as the central processing unit. The proposed system combines various sensors, computer vision algorithms, and machine learning techniques to accurately identify and segregate objects based on their characteristics. The use of a micro controller offers a cost-effective and versatile solution for implementing object segregation in different applications, enhancing automation and robotics capabilities

Published Paper   E-Certificate

Rushikesh Narendra Phakatkar, Tushar Edake, Vikram Pawar, & Anuj Patil (May-2023). Object Segregation Using Micro controller. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i926-i941. https://ijnrd.org/papers/IJNRD2305912.pdf

Volume 8 Issue 5, May-2023

Pages : i926-i941

Paper Reg. ID: IJNRD_197736

Published Paper Id: IJNRD2305912

Downloads: 000121980

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305912.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305912

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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