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Oops! There is a mess in your room...

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Vision API

Solution designed for developers to analyze interior photos and provide detailed descriptions of the geometry, including wall placement, window openings, ceilings, and floors.

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How Vision API helps analyze interiors?

Our AI Vision API uses neural networks and advanced algorithms like deep learning models to analyze images of interiors, accurately identifying interior surfaces such as walls, windows, ceiling, and floor. 
 The API provides data on the proportions of surfaces, which is useful for calculations, such as estimating the amount of materials needed. 
 The results are returned in JSON format, including coordinates of the elements, which can be used for further calculations or integrated into other solutions.

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Technological areas addressed by Vision API

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Segmentation API splits indoor images into surfaces and creates a precise segmentation mask of the surfaces found in the scene.

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Object and scene detection API localizes and classifies objects in an image.

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Reconstruction API reconstructs the interior objects in a virtual 3D scene and generates the coordinates of objects relative to the camera’s position.

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Analysis API gives us an estimated camera position and its features. It also detects the type of room being visualized.

Challenges and solutions in interior image analysis

Extracting structured data from interior images is a complex task. Unlike solutions that rely on depth sensors or AR kits, our Vision API works with a single image, regardless of its source or quality. 
 This means the system has to handle: 
 • a variety of lighting conditions,
 • angles, 
 • distortions, 
 • and layouts without relying on external context. 
 The challenge lies in accurately identifying and analyzing elements such as walls, ceilings, windows, and floors, all while inferring spatial relationships. 
 To achieve this, we've developed advanced technologies that address multiple computer vision problems simultaneously, including: 
 • segmentation, 
 • detection, 
 • and 3D reconstruction. 
 We are pioneers in this industry. Prior to our solution, there was nothing like this on the market. Even now, there are no comparable solutions available in this form. 
 Our Vision API is one of the first to offer this level of analysis using just a single image, setting a new standard in interior image analysis and providing a unique solution to a previously unsolved challenge.

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Why сhoose our Vision API

For potential clients, there are two options to consider. One is to invest time and resources into developing an in-house solution, which involves navigating technical challenges and uncertainties, with no guarantee of success. This process can be resource-intensive and time-consuming.

On the other hand, clients can opt for our Vision API, which provides a reliable, ready-to-use solution that simplifies the process. By choosing our API, clients can avoid the complexities of development, reduce risks, and focus on leveraging the technology to meet their business goals efficiently.

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Get started today

Ready to integrate our Vision API and take your projects to the next level? Explore our comprehensive documentation to see how easy it is to implement our technology!

Vision API pricing

$599 per month for 10,000 requests

$4,699 per month for 100,000 requests

$20,199 per month for 500,000 requests

API Vision has a few limitations when it comes to the photos used for analysis: 
 • Camera Quality: It works best with standard phone cameras, avoiding wide-angle or zoom lenses. 
 • Image Orientation: Both horizontal and vertical orientations are supported, but the aspect ratio should be 16:9 or 4:3 for optimal results. 
 • Lighting Conditions: Well-lit environments are essential for accurate analysis, and images taken in poorly lit conditions or with overexposure may result in subpar outputs. 
 • No Cropping: Photos should not be cropped after capture as this can affect the accuracy of the analysis. 
 • Camera Positioning: The camera should be positioned at eye level to avoid distortions in the analysis.

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What are the limitations of Vision API (limitations regarding photos)?

It can be seamlessly integrated into web and mobile applications for interior design, AR experiences, and other use cases based on various technologies.

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What technologies are supported for integration?

The implementation time varies depending on your project’s complexity. However, with our clear documentation, integration can typically be completed in a few days to weeks. The setup is designed to be straightforward, especially for developers familiar with image analysis and API integration.

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How long does it take to implement Vision API?

Wizart does not store any data uploaded through the Vision API. The images are processed on a real-time basis and discarded immediately after the analysis is complete. This approach ensures that user data remains private and secure, with no permanent storage of sensitive information.

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How does Wizart ensure data security and privacy when using the API?

Yes, there is a basic free tier available for users to explore the capabilities of Vision API. It allows you to test and evaluate the API’s features before paying cloud Vision API cost, though more advanced features and higher usage will require a paid plan.