Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach
Abstract
:1. Introduction
2. A Brief Overview of the Potato Packing Process
3. Methodology
Hardware and Software System Setups
4. Image Processing and Weight Recording
4.1. Image Processing
4.1.1. Segmentation
4.1.2. Data
4.1.3. CNN Architecture
4.1.4. Choosing the Activation
4.1.5. Gradient Descent Optimiser
4.2. Weight Recording
4.3. Experimental Parameters
5. Results and Discussion
5.1. Image Processing Results
5.2. Food Waste Tracker Results
5.3. Analysis of Company Case-Study Results
6. Conclusions and Future Work
Author Contributions
Funding
Conflicts of Interest
References
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Layer (type) | Output Shape | Parameters |
---|---|---|
conv2d_1 (Conv2D) | (None, 150, 150, 32) | 2432 |
conv2d_2 (Conv2D) | (None, 150, 150, 32) | 25,632 |
max_pooling2d_1 (MaxPooling2 | (None, 37, 37, 32) | 0 |
conv2d_3 (Conv2D) | (None, 37, 37, 64) | 51,264 |
conv2d_4 (Conv2D) | (None, 37, 37, 64) | 102,464 |
max_pooling2d_2 (MaxPooling2 | (None, 10, 10, 64) | 0 |
dropout_1 (Dropout) | (None, 10, 10, 64) | 0 |
conv2d_5 (Conv2D) | (None, 10, 10, 128) | 73,856 |
conv2d_6 (Conv2D) | (None, 10, 10, 128) | 147,584 |
max_pooling2d_3 (MaxPooling2 | (None, 5, 5, 128) | 0 |
dropout_2 (Dropout) | (None, 5, 5, 128) | 0 |
flatten_1 (Flatten) | (None, 3200) | 0 |
dense_1 (Dense) | (None, 512) | 1,638,912 |
dropout_3 (Dropout) | (None, 512) | 0 |
dense_2 (Dense) | (None, 128) | 65,664 |
dense_3 (Dense) | (None, 3) | 387 |
Total params: 2,108,195 Trainable params: 2,108,195 Non-trainable params: 0 |
Batch | Sample | Terminal | Operator | Date | Time | Weight (gm) | Image | Vision Status | Reason |
---|---|---|---|---|---|---|---|---|---|
35,882 | 13,412 | C6T2 | Packing | 01/01/18 | 02:13:37 | 40.4 | | FAIL | Diseased |
35,882 | 13,713 | C6T2 | Packing | 01/01/18 | 02:14:23 | 39.7 | | FAIL | Blackening |
35,882 | 13,847 | C6T2 | Packing | 01/01/18 | 02:14:59 | 39.9 | | FAIL | Cracked |
35,882 | 14,517 | C6T2 | Packing | 01/01/18 | 02:17:06 | 40.3 | | FAIL | Sprouting |
35,882 | 14,729 | C6T2 | Packing | 01/01/18 | 02:18:09 | 41.6 | | FAIL | Greening |
35,882 | 15,007 | C6T2 | Packing | 01/01/18 | 02:19:12 | 40.1 | | FAIL | Uncleaned |
35,882 | 15,089 | C6T2 | Packing | 01/01/18 | 02:19:38 | 40.8 | | FAIL | Cut-mark |
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Jagtap, S.; Bhatt, C.; Thik, J.; Rahimifard, S. Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach. Sustainability 2019, 11, 3173. https://doi.org/10.3390/su11113173
Jagtap S, Bhatt C, Thik J, Rahimifard S. Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach. Sustainability. 2019; 11(11):3173. https://doi.org/10.3390/su11113173
Chicago/Turabian StyleJagtap, Sandeep, Chintan Bhatt, Jaydeep Thik, and Shahin Rahimifard. 2019. "Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach" Sustainability 11, no. 11: 3173. https://doi.org/10.3390/su11113173
APA StyleJagtap, S., Bhatt, C., Thik, J., & Rahimifard, S. (2019). Monitoring Potato Waste in Food Manufacturing Using Image Processing and Internet of Things Approach. Sustainability, 11(11), 3173. https://doi.org/10.3390/su11113173