Table 3 Algorithm of the proposed mechanism.
From: Blockchain based solid waste classification with AI powered tracking and IoT integration
Step | Task | Description |
|---|---|---|
1 | Initialize CNN model | Load and fine-tune a pre-trained CNN model on labeled waste images |
2 | Capture image of waste | Capture an image of waste using the camera module |
3 | Pre-process image | Resize and normalize the captured image for the CNN input |
4 | Classify waste | Pass the image through CNN to classify waste into categories |
5 | Process classification results | Store the classification result and send it to microcontroller |
6 | Measure bin fill level | Use the ultrasonic sensor to measure waste fill level in the bin |
7 | Measure bin weight | Use the load sensor to measure the weight of accumulated waste |
8 | Activate sorting mechanism | Activate the servo motor to sort waste based on classification result |
9 | Store data | Send the data (fill level, weight, classification) to the cloud and update app |
10 | Optimize collection schedule | Use AI to predict the optimal collection schedule and route |
11 | Track sorting efficiency | Calculate sorting accuracy based on true and false classifications |
12 | Update waste categorization | Categorize waste into food waste, hazardous, residual, or recyclable |
13 | Report recycling efficiency | Calculate the recycling efficiency based on successfully recycled materials |
14 | Send final report | Send the final status report to the monitoring system |
