Azure Percept sample AI models
Sample AI models
Azure Percept Studio contains sample models for the following applications:
- people detection
- vehicle detection
- general object detection
- products-on-shelf detection
With pre-trained models, no coding or training data collection is required. Simply deploy your desired model to your Azure Percept DK from the portal and open your devkit’s video stream to see the model inferencing in action. Model inferencing telemetry can also be accessed through the Azure IoT Explorer tool.
A people counting reference solution is also available. This reference solution is an open-source AI application providing edge-based people counting with user-defined zone entry/exit events. Video and AI output from the on-premise edge device is egressed to Azure Data Lake, with the user interface running as an Azure website. AI inferencing is provided by an open-source AI model for people detection.
Custom no-code solutions
For custom vision solutions, both object detection and classification AI models are available. Simply upload and tag your training images, which can be taken directly with the Azure Percept Vision SoM of the Azure Percept DK if desired. Model training and evaluation are easily performed in Custom Vision, which is part of Azure Cognitive Services.
For custom speech solutions, voice assistant templates are currently available for the following applications:
- Hospitality: hotel room equipped with voice-controlled smart devices.
- Healthcare: care facility equipped with voice-controlled smart devices.
- Inventory: inventory hub equipped with voice-controlled smart devices.
- Automotive: automotive hub equipped with voice-controlled smart devices.
Pre-built voice assistant keywords and commands are available directly through the portal. Custom keywords and commands may be created and trained in Speech Studio, which is also part of Azure Cognitive Services.
Please see the Azure Percept DK advanced development GitHub for up-to-date guidance, tutorials, and examples for things like:
- Deploying a custom AI model to your Azure Percept DK
- Updating a supported model with transfer learning
- And more
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