The ISS (Intelligent Surround Sensing) component of the Science Counter portfolio covers photonic sensing architectures for spatial intelligence. Three families of patents (pending and issued) US patents include specific photonic system claims.
The Science Counter Inc portfolio includes issued patents with specific LiDAR system claims โ photonic sensing architectures designed to derive structured spatial intelligence, not just point clouds. The ISS component of AIT is the bridge between raw photonic data and actionable machine knowledge.
Standard LiDAR systems produce point clouds. What autonomous machines need is structured knowledge of the spatial environment โ object relationships, scene topology, and dynamic change detection. The ISS architecture transforms photonic data into PM_kl โ the participation matrix that encodes the knowledge structure of the physical scene.
The issued patents include specific claims covering:
Issued
LiDAR system claims
Specific photonic sensing architectures with intelligent spatial processing. Issued as part of the core AIT patent family.
Priority
November 10, 2009
Filed before the current generation of LiDAR-dependent autonomous systems was designed.
Deployment
SciPhAI โ Physical AI
The ISS architecture is at the core of the SciPhAI autonomous sensing platform targeting tier-1 automotive decisions 2027โ2029.
LiDAR-equipped ADAS and autonomous driving platforms. Companies making platform architecture decisions for 2027โ2029 deployment windows.
Sensor manufacturers integrating intelligence processing with photonic sensing โ solid-state, MEMS, FMCW, and OPA architectures.
Industrial and service robots using LiDAR for environment mapping, object detection, and navigation in dynamic spaces.
Platforms requiring surround-sensing LiDAR with integrated spatial intelligence for navigation and target recognition.
If your platform processes photonic data to make decisions about the physical world, the AIT photonics portfolio is relevant to your architecture.