Object detection in fog
Image enhancement processes consist of a collection of techniques that inquire about to improve the visual appearance of degraded image. our model introduces a multi model enhancement technique for dense foggy images using contrast enhancement and color modification. The present available techniques
Project Title
Object detection in fog
Project Area of Specialization
Project Summary
Image enhancement processes consist of a collection of techniques that inquire about to improve the visual appearance of degraded image. our model introduces a multi model enhancement technique for dense foggy images using contrast enhancement and color modification. The present available techniques don't work in low visibility like dense fog. The proposed methods change the intensity component among the converted HIS(Hue Intensity Saturation) components from the RGB(Red Green Blue) components of the original foggy image.
Project Objectives
- Machine learning for environment detection.
- Image filtering process for visibility enhancement.
- Image recognition of objects with the help of past data set through machine learning.
Project Implementation Method
Benefits of the Project
- Visibility of objects through the camera detection in fog.
- Ratio of accidents will be decreased.
- Travelling time will also be reduced.
Technical Details of Final Deliverable
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
| Month 1 | Data Collection UI/UX of mobile application | Complete UI/UX with XD link |
| Month 2 | Making filter on Spark AR. | Filtering process completed. |
| Month 3 | Project architecture design including ERD, Class diagrams, sequence diagrams, Data flow diagram etc. | Project architecture documents. project sample and mockups. |
| Month 4 | Frontend mobile development | Mobile app APK with sample data |
| Month 5 | Implement ANN Algorithm | Model of ANN Algorithm |
| Month 6 | Backend development/Rest API development and API integration for mobile application. | Rest API and complete mobile application with real data |
| Month 7 | Testing/unit testing/integration testing | Tested mobile and web application ready for deployment. |
| Month 8 | Process of filtering image to enhance the visibility through AI. | Complete Product. |
Elapsed time in (days or weeks or month or quarter) since start of the project
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Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Elapsed time in (days or weeks or month or quarter) since start of the project | Milestone | Deliverable |
|---|---|---|
| Month 1 | Data CollectionUI/UX of mobile application | Complete UI/UX with XD link |
| Month 2 | Making filter on Spark AR. | Filtering process completed. |
| Month 3 | Project architecture design including ERD, Class diagrams, sequence diagrams, Data flow diagram etc. | Project architecture documents. project sample and mockups. |
| Month 4 | Frontend mobile development | Mobile app APK with sample data |
| Month 5 | Implement ANN Algorithm | Model of ANN Algorithm |
| Month 6 | Backend development/Rest API development and API integration for mobile application. | Rest API and complete mobile application with real data |
| Month 7 | Testing/unit testing/integration testing | Tested mobile and web application ready for deployment. |
| Month 8 | Process of filtering image to enhance the visibility through AI. | Complete Product. |
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