# Object detection

Detect 2D objects in camera frames: get bounding boxes with labels and confidence scores, follow objects across consecutive frames, and wire results into machine behavior or notifications.

## Detect objects
Retrieve 2D bounding-box detections from a vision service, filter by confidence and class, and run detections in a loop.

## Detect by color
Configure the color_detector vision service to find regions of a specific hue. No ML model, no training data, runs anywhere.

## Tune detection quality
Match a detection quality symptom to the mlmodel vision service attribute that fixes it. Covers bounding box order, input normalization, per-label thresholds, and tensor remapping.

## Track objects
Track detected objects across consecutive video frames with persistent IDs using the object-tracker module.

## Act on detections
Build a module that uses vision service results to control machine behavior.

## Alert on detections
Send email, webhook, or push notification alerts when your vision service detects specific objects or classifications.