Fritz AI

Integrate Fritz Pose Estimation SDK.

Detect hand or head keypoints in real-time.

Overlay 3D models of products onto the identified coordinates.

Handle occlusion and lighting adjustments.

Utilize Human Pose Estimation model.

Track joint angles during specific exercises like squats.

Provide real-time audio feedback on form deviations.

Log repetition counts automatically.

Deploy the Image Segmentation model.

Generate an alpha mask for the subject in real-time.

Composite a new background image behind the subject mask.

Optimize for low-latency video streaming.

Train a custom Object Detection model on product SKU images.

Implement the model in a mobile scanning app.

Use the camera to scan shelves and count instances of detected objects.

Sync data with centralized inventory systems.

Use OCR and Text Detection models.

Identify sensitive fields like SSNs or names.

Apply a visual black-out mask on-device.

Ensure unredacted data never leaves the handset.

Apply Scene Understanding and Semantic Segmentation.

Identify floor planes and wall surfaces.

Anchor virtual furniture objects to the detected planes.

Maintain persistence using ARKit/ARCore integration.

Train a classification model on images of diseased plants.

Package the model into an offline-first mobile app.

Capture plant photos in the field.

Receive instant diagnostic results without cellular data.