E-ViTNet: A lightweight vision transformer with oppositional cat swarm optimization for automated E-Waste sorting

Key Points

• Automated sorting significantly enhances e-waste separation, improving recycling processes.
• The vision transformer model achieved over 90% accuracy in classifying various e-waste types.
• Analysis utilizes cat swarm optimization to refine the model's performance metrics for accuracy.
• Results highlight the potential for more efficient recycling efforts, positively impacting environmental sustainability.