Invention title: smart recycling system inventor: abhinav sobti

An AI and robotic arm system enhances recycling plant efficiency by accurately sorting recyclable and non-recyclable waste, improving resource management through precise material handling.

WO2026074567A1PCT designated stage Publication Date: 2026-04-09SOBTI ABHINAV
View PDF 3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-10-01
Publication Date
2026-04-09

AI Technical Summary

Technical Problem

Existing recycling plants face inefficiencies in accurately sorting recyclable and non-recyclable waste materials, leading to suboptimal resource management and processing.

Method used

An AI-powered recycling system with computer vision and a robotic arm, integrated with a Raspberry Pi interface, uses a compact design and servo motors to enhance sorting precision and efficiency.

Benefits of technology

The system achieves high-precision material classification and separation, optimizing the recycling process and improving resource management.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure IN2024051930_09042026_PF_FP_ABST
    Figure IN2024051930_09042026_PF_FP_ABST
Patent Text Reader

Abstract

This invention relates to a compact and efficient device designed to enhance the sorting process in recycling plants by accurately identifying and separating various waste materials. The device employs a sophisticated integration of Artificial Intelligence (AI) and Computer Vision technology. This system is specifically engineered to recognize and classify different types of recyclable and non-recyclable materials with high precision, thereby improving the efficiency and accuracy of waste management operations. The device's compact design features a mounted camera attached to an existing computer, which interfaces seamlessly with novel software developed alongside the hardware. This setup allows for easy integration into existing recycling systems without requiring significant modifications. The software's advanced detection algorithms enable the device to discriminate between various materials, such as plastic and paper, with minimal error rates. The AI further enhances this capability by distinguishing between biodegradable and non-biodegradable materials, as well as detecting and categorizing e-waste separately as reusable, tech-focused material. Additionally, the AI is capable of identifying hazardous materials, including batteries, chemicals, and medical waste, ensuring their safe isolation and handling. To support the sorting process, the device is equipped with a robotic arm mechanism constructed from custom 3-D printed components. This arm is driven by five servo motors and is controlled by an Arduino Uno board, providing precise and reliable material handling. The robotic arm can efficiently grasp, lift, and transport identified materials with minimal failure, ensuring consistent operational performance. System control is managed through a Raspberry Pi interface, which coordinates the device's various components to ensure smooth and reliable operation. This control system enables the device to execute automated material segregation by accurately sorting and depositing each identified material into separate containers, such as for plastic and paper. The device is also capable of detecting organic waste, such as food scraps and plant materials, and separating it for composting or other eco-friendly disposal methods. Additionally, the AI can recognize and categorize different types of metals, textiles, and glass, further expanding the device's versatility in waste management applications. This invention represents a significant advancement in recycling technology, offering a compact, reliable, and highly automated solution for improving waste sorting processes in recycling plants.
Need to check novelty before this filing date? Find Prior Art

Description

[0001] Invention Title: Smart Recycling System Inventor: Abhinav Sobti

[0002] Description:

[0003] Purpose and Application

[0004] The device is designed to enhance the efficiency of recycling plants by improving the sorting process of various waste materials. It aids in the accurate identification and separation of different forms of recyclable and non-recyclable waste.

[0005] Core Technology

[0006] At the heart of the device is an integrated system combining Artificial Intelligence (Al) with Computer Vision. This system is engineered to recognize and classify various types of recyclable and non-recyclable materials with high precision.

[0007] Compact Design

[0008] The device features a compact design, comprising a mounted camera connected to an existing computer. The novel software, developed in conjunction with the hardware, operates seamlessly within this setup, ensuring efficient performance.

[0009] Robotic Arm Mechanism

[0010] To facilitate the recycling process, the device is equipped with a robotic arm, which is constructed from custom 3-D printed components. The arm is driven by five servo motors, all controlled via an Arduino Uno board, allowing for precise and reliable material handling.

[0011] System Control

[0012] The device relies on a Raspberry Pi interface to manage and control the entire operation, ensuring smooth and coordinated functioning of the system components.

Claims

Invention Title: Smart Recycling System Inventor: Abhinav SobtiClaims:Material Discrimination:The device is programmed to accurately detect and differentiate between plastic and paper materials using advanced detection algorithms designed to minimize error rates.Al is able to detect the difference between biodegradable and non-biodegradable material and sift accordingly.Al is able to detect the difference between e-waste and other waste, separately categorizing it as reusable tech-focused material.The Al can identify hazardous materials, including batteries, chemicals, and medical waste, ensuring they are isolated and handled according to safety protocols.The device can detect organic waste, such as food scraps and plant materials, and separate it for composting or other eco-friendly disposal methods.The Al can identify hazardous materials, including batteries, chemicals, and medical waste, ensuring they are isolated and handled according to safety protocols.Precision Handling Mechanism:The device is equipped with an articulating arm capable of reliably grasping, lifting, and transporting each identified material with minimal failure, ensuring consistent operational performance.Automated Material Segregation:Upon detection and classification, the device efficiently segregates and deposits each material type into separate containers, ensuring that plastic and paper are accurately sorted into their respective containers.

Citation Information

Patent Citations

  • Artificial intelligence based autonomous waste management for e-environment

    IN202141019996A

  • Intelligent waste classifying bin for eco-friendly bio composting

    IN202141030061A

  • Artificial intelligence based plastic waste management system

    IN202311047316A