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Our user interface is currently undergoing an extensive redesign affecting features across all our plans. This legacy section is aimed as a reference for those using the old Sense interface.

1. Add a node

Sense's edge processing software is called a node. It handles the computational tasks such as ingestion of video data for model creation, the deployment of trained ML models, and gathering detections from the data.

2. Add your cameras

Sense lets you connect devices, such as cameras, which can be used to train and deploy your machine learning models to detect objects. Connect your camera to Sense to give your node access to the video stream.

3. Create your model

Create your model to deploy or begin adding training data from your video feed.

4. Add training data and begin labeling

You can create training clips from your video data, then label the frames with our robust labeling toolset.

5. Train and deploy your ML model

It's never been easier to train your model with your labeled data sets and deploy the latest versions to your camera.

6. Monitor your model's performance

Use the "Monitor" tab to explore your detections in real-time from each of your models. You can view charts to see trends in the data and drill into the timeframes for a closer examination.