KINEO COMPONENTS
Kineo Collision Detector (KCD)
Perform high speed collision analysis on meshes and point cloud data in your motion simulation applications by integrating Kineo Collision Detector.
Why Kineo Collision Detector?
Perform high speed collision analysis in your simulation environment to resolve collisions that would prevent the successful manufacture of a part, or impede the intended motion of parts. Kineo Collision Detector delivers exceptional performance which makes it ideal for collision analysis on hundreds of parts in motion simulation environments such as robotics and machine tool programming.
With Kineo Collision Detector, you can:
- Analyse collisions between mesh surfaces and point cloud data
- Identify collision, containment, abutment and intersection lines
- Measure depth of interpenetration
- Obtain re-positioning information to remedy collisions
- Monitor clearance (minimum distance) between objects
See what's included
Collision and clearance analysis
Perform a wide range of collision and clearance analysis, including:
- Fast Boolean test: quickly determine if any objects are colliding in the scene
- Exhaustive Boolean test: identify specific colliding pairs of objects in the scene
- Flat Boolean test: determine the set of all colliding objects in the scene
- Shortest distance between objects that are not colliding (clearance)
- Estimated penetration distance for colliding objects
Supported geometry types
Kineo Collision Detector supports the following geometry types:
Mesh data: analyse any triangular mesh. The triangles do not require orientation - their normal vectors can point to either side. Holes and disconnected triangles are not an issue.
Point cloud data: Perform collision checks and distance measurements directly on data from laser scans and vision systems without the need to reconstruct polyhedrons. Query collision detection and proximities between two point clouds or between a point cloud and a polyhedron.
High performance optimizations
Symmetric multiprocessing: Kineo Collision Detector is optimized for parallel processing. A stateless, thread-safe mode enables you to run different tests over the same scene in simultaneous threads.
Low-memory consumption: scene objects point to triangle mesh data located in user memory space to eliminate the need for duplicating data as Kineo Collision Detector objects. Deferred initialization options further reduce memory usage.
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