Applicable Solution
• Smart recylcing plastic AI sorting system for chemical recycling
• Determination of optimization parameters for managing various ECO resources
• Predict AI from data collected from sensors, logic controllers (PLC), and vision cameras
-
Data Collection
-
Data Preprocessing
-
AI Development
Application Case 1. AI Recycling Plastic Sorting Automation
• Establishment of an automatic waste plastic sorting system through AI model
• Increase plastic recycling rate by increasing sorting accuracy
• Automate waste plastic work that was previously done manually with AI-based robots
-
1
Data Acquisition
Taking images of recycling plastics in an environment similar to a conveyor belt in a sorting site
-
2
Data Cleansing
Data labeling and cleansing data quality inspection
-
3
AI Modeling
AI Modeling with using CNN, R-CNN, YOLO, and NMS technologies
-
4
AI Serving
Provides AI model to classify the plastics as PET, PP, PE, PS
Application Case 2. Advanced Performance AI-based Fine Dust Measurement Device
• Storage management of collected fine dust data
• Advancement of performance of fine dust measurement devices based on artificial intelligence analysis
• Algorithm application through interworking and analysis of fine dust data
• Flexible prediction system operation for each location/device
-
1
Data Collecting
Fine-dust sensor data collection
Collected fine dust data storage management -
2
AI Algorithms
Advanced measurement device performance by using AI filter algorithm for fine dust sensor with smoothing filtration
-
3
Measure Fine-dust
Application of AI algorithm to fine dust measuring device Distribution of improved fine dust measurement values