CAPTA — Markerless object tracking
Tracking without tagging the object
CAPTA tracking technology is deep learning–based recognition combined with stable tracking of objects in camera images. It is used to detect and track workpieces or complete vehicle bodies, can support maintenance work in assembly, and enables augmented reality applications such as marketing demonstrations of new products.
How CAPTA works
The CAPTA application software recognizes objects in camera images with an initially coarse, simultaneous 6DOF (six degrees of freedom) pose estimation, followed by exact edge-based individual image tracking.
CAPTA opens up broad application possibilities: objects can be recognized and tracked — and if the position is lost, they can be found again without the user having to intervene.
Finding the first pose — automatically
All image-based tracking algorithms must first recognize a trackable object regardless of its orientation and start tracking. Once the object has been identified and a first position has been found, many algorithms work very precisely and reliably. Finding that first position is the greatest challenge and often has to be done manually.
CAPTA incorporates a robust algorithm that instantly detects the basic position of a trackable object with no markings when it enters the camera view.
On-premise and robust in real environments
The algorithm works independently — no connection to cloud services is required — so CAPTA can be used within company networks. It is also robust against cluttered backgrounds, poor lighting conditions, or partially covered objects.
Applications
Possible applications include:
- Recognition and tracking of workpieces or entire vehicle bodies
- Support for assembly and maintenance tasks
- Tracking of products during marketing demonstrations — even in difficult environments with poor lighting or a confusing background
