S2 多模态融合与空间预测引擎v1.0.0

An AV uses LiDAR and camera fusion to detect a glass barrier that the camera perceives as empty space. The system initiates braking and waits for human guidance, preventing a collision.

Warehouse robots fuse LiDAR and tactile sensors to navigate around transparent plastic wraps or glass partitions, ensuring safe and efficient material handling in dynamic environments.

A home assistant uses fused camera and thermal data to predict fall risks and changes in room temperature, alerting caregivers with a 1-minute timeline for proactive intervention.

Drones inspecting infrastructure use fusion of visual and LiDAR data to detect transparent or reflective surfaces, avoiding collisions and ensuring accurate structural assessments.

An assistive wearable uses fused camera and LiDAR to provide audio feedback about glass doors and obstacles, giving users a 15-second predictive warning to adjust their path.

Charge developers per multimodal fusion API call or per prediction, with tiered plans based on volume and latency requirements.

Sell a subscription for safety-critical systems (e.g., AV emergency response) that includes fusion engine access, regular model updates, and 24/7 support.

Offer the fusion engine and its causal prediction capabilities as a white-label solution, including onboarding, customization, and training on proprietary sensor data.