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Description

The Azure Kinect represents a state-of-the-art spatial computing toolkit featuring advanced computer vision and voice recognition models, along with cutting-edge AI sensors and a variety of robust SDKs that seamlessly integrate with Azure AI Services. Various sectors such as manufacturing, retail, healthcare, and media are utilizing Azure Kinect to harness spatial data and context, thereby boosting operational safety, enhancing performance, improving outcomes, and transforming the customer experience. By employing computer vision technology, users can effectively monitor and analyze exercise movements and overall form, leading to a more personalized gym experience that drives better results, or they can develop a comprehensive and efficient virtual rehabilitation program. Furthermore, the integration of real-time depth sensor data with AI-powered insights allows for the prevention and management of potential accidents and injuries in healthcare settings through predictive alerts. The device features a 1-MP depth sensor that offers both wide and narrow field-of-view (FOV) options, enabling users to tailor the technology to their specific application needs, ultimately boosting efficiency and effectiveness in various endeavors. This adaptability makes the Azure Kinect an invaluable tool for innovators looking to push the boundaries of spatial computing.

Description

Add depth to any video or photo for viewing on Apple Vision Pro. We first run a monocular network that predicts the metric level of each pixel. Then, we convert the RGB images and depth images to the left and right eye of a stereo picture. Finaly, we encode the result into an.HEIC or MV-HEVC image that can be viewed using the Apple Vision Pro and Meta Quest. Converting RGB photos to spatial photos can be useful for computer vision and 3D modelling applications. It allows the creation of stereo images, depth maps, and HEIC (High-End Image File Format) files for use with Meta Quest and Apple Vision Pro. Depthify.ai converts.jpg,.png or.mp4 images or videos into a range of downstream spatial formats. It converts the RGB image into a depth map by using a monocular depth estimate network. The depth network can be visualized in a three.js browser where we project the 3D mesh onto an image.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure AI Services Yes 
Azure IoT Edge Yes 
Azure Machine Learning Yes 
Microsoft Azure Yes 
Quest for Business No 

Integrations

Azure AI Services No 
Azure IoT Edge No 
Azure Machine Learning No 
Microsoft Azure No 
Quest for Business Yes 

Pricing Details

$399 one-time payment
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/kinect-dk/

Vendor Details

Company Name

Depthify

Website

www.depthify.ai/

Product Features

Alternatives

Alternatives