Stale Fruit Detection through image processing and considering gas emissions
People Nowadays are busy and they don't bother keeping care for less important thing in their life. Same for this problem when people keep their fruits in refrigerators and usually forget about them and they get stale. This project helps cater this problem by scanning and proper dete
Project Title
Stale Fruit Detection through image processing and considering gas emissions
Project Area of Specialization
Project Summary
People Nowadays are busy and they don't bother keeping care for less important thing in their life.
Same for this problem when people keep their fruits in refrigerators and usually forget about them and they get stale.
This project helps cater this problem by scanning and proper detection of stale fruits in a refrigerator and notifying the user so they can remove them.
Project Objectives
1) Machine Learning of Stale Fruits through image processing
2) Gas sensor calibration to detect ethanol vapor emission from fruits.
3) Programming controller to send notification to phone through communication medium
Project Implementation Method
Project can be implemented by using both:
1) Machine Learning through image processing
2) Gas Sensor (detecting gas emission)
Using Arduino or Raspberry, and programming them to calibrate and use both capabilities perfectly.
Benefits of the Project
Users don't need to keep track of fruits when a fruits goes stale, as the software will notify about the fruit to the user. The User also is spared from cleaning of the refrigerator again and again.
Technical Details of Final Deliverable
The Hardware will be fit into a refrigerator and will scan and detect fruit through image recognition and gas emission. It will help identify 5 types of fruits initially. The type of fruits which are included are those with soft peels that are easy to detect when using imagery. It will scan on a timely basis with a programmable frequency, and will notify whenever there's a detection
Final Deliverable of the Project
Type of Industry
Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi | Equipment | 2 | 6500 | 13000 |
| mq-3 gas sensor | Equipment | 3 | 600 | 1800 |
| Camera module | Equipment | 2 | 2000 | 4000 |
| Adapter | Equipment | 2 | 1000 | 2000 |
| Documentation | Miscellaneous | 1 | 500 | 500 |
| Presentation Material | Miscellaneous | 1 | 600 | 600 |
| Total in (Rs) | 21900 |
If you need this project, please contact me on contact@adikhanofficial.com
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