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Conveyor belt picking with igus 3-axis delta robot

Hardware Price:

ROI

13-15

months

Pick rate

70

picks per minute

Wide temperature range

-40 to +80

°C

Greenox Vision: Transforming Waste Management Through AI and Robotics

The global shift towards sustainability demands smarter waste management solutions. Greenox Vision is an industry-leading, AI-driven robotic system revolutionizing Material Recovery Facilities (MRFs) with enhanced automation and precision. By pairing cutting-edge igus Delta robots with advanced machine learning, Greenox Vision empowers facilities to optimize recycling processes, reduce costs, and meet evolving environmental regulations.

What is the application?

Greenox Vision automates the sorting and recycling of waste materials in MRFs. Its AI technology identifies and categorizes various recyclable materials accurately and efficiently, transforming waste management into a more sustainable and profitable process.

What are the solution’s advantages?

  • Accelerated Sorting: AI-powered systems significantly increase processing speeds.

  • Error Reduction: High precision minimizes sorting mistakes, boosting material recovery rates.

  • Regulatory Compliance: Adapts flexibly to evolving sustainability laws and guidelines.

What are the robot’s advantages?

  • Durable Performance: igus Delta robots operate reliably in harsh waste environments like dust and humidity.

  • Cost-Efficient Maintenance: Minimal upkeep requirements reduce downtime and operational expenses.

  • Energy Efficiency: Their lightweight design optimizes energy consumption, enhancing profitability.

A Game-Changer for Waste Management

Greenox Vision combines AI-driven automation with robust igus Delta robots to revolutionize waste management, ensuring faster sorting, reduced errors, and compliance with evolving regulations. Its durable, energy-efficient design minimizes costs while enhancing recycling rates, making it an ideal solution for sustainable, scalable, and future-oriented waste processing facilities.

4 Components