Image (Floor Plan) Recognition - (Outer Perimeter and Indoor Attenuation's)
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Post a project like this$750
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- Proposals: 0
- Remote
- #758694
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Description
Experience Level: Expert
Estimated project duration: less than 1 week
General information for the business: Image Recognition
Kind of development: Customization of existing program
Description of requirements/functionality: Objective: To embed an image recognition plugin to work on an app for an iPad. The main task is to extract relevant information from a floor plan.
Activity/ Deliverables: The floor plan is taken as a photo taken from an iPad or by importing a jpeg or any image file. This involves identifying the contours of the outer walls. Moreover, we wish to identify interior walls, including different wall types, doors windows, elevators, car parking staircase etc. In typical floor plans, wall types of interior walls are characterized by different thickness of lines, or double lines or different shades of the walls. The contours of the outer walls, as well as the interior walls should be described as vectors
One of the major obstacles is that floor plans contain much redundant information that should be extracted, such as furniture, markers and auxiliarly lines. Furthermore, after a first shot at detecting the outer walls, maybe not all walls are detected correctly. Hence, there should be a possibility for the user to discard some erroneously detected walls, as well as indicated walls that were missed.
The final product as an image should define identification of wall types as layers with respective color and outer perimeter of the building by using color legends as predefined standard.
Current Status Of the Project:
We have an existing Code written in Open CV. We have succesfully reached identifying outer perimeter of a building. Unfortunaltely, we are facing issues to identifying indoor attenuation for example doors, windows, wall types, elvators, etc. and are using LBP feature, performing machine learning process.
We need immediate support to accomplish this effort in the next 5 days. Please respond if you meet the time frame and requireement.
Extra notes:
Kind of development: Customization of existing program
Description of requirements/functionality: Objective: To embed an image recognition plugin to work on an app for an iPad. The main task is to extract relevant information from a floor plan.
Activity/ Deliverables: The floor plan is taken as a photo taken from an iPad or by importing a jpeg or any image file. This involves identifying the contours of the outer walls. Moreover, we wish to identify interior walls, including different wall types, doors windows, elevators, car parking staircase etc. In typical floor plans, wall types of interior walls are characterized by different thickness of lines, or double lines or different shades of the walls. The contours of the outer walls, as well as the interior walls should be described as vectors
One of the major obstacles is that floor plans contain much redundant information that should be extracted, such as furniture, markers and auxiliarly lines. Furthermore, after a first shot at detecting the outer walls, maybe not all walls are detected correctly. Hence, there should be a possibility for the user to discard some erroneously detected walls, as well as indicated walls that were missed.
The final product as an image should define identification of wall types as layers with respective color and outer perimeter of the building by using color legends as predefined standard.
Current Status Of the Project:
We have an existing Code written in Open CV. We have succesfully reached identifying outer perimeter of a building. Unfortunaltely, we are facing issues to identifying indoor attenuation for example doors, windows, wall types, elvators, etc. and are using LBP feature, performing machine learning process.
We need immediate support to accomplish this effort in the next 5 days. Please respond if you meet the time frame and requireement.
Extra notes:
Aankit N.
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Last project
10 May 2024
India
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