LiDAR with AI Enabled Sensor Fusion Detection and Tracking Street Light

Valitus Technologies proposes a prototype development and deployment of its current Victus LED Street Lighting unit to Include a SWIR LiDAR sensor coupled with Artificial Intelligence for critical infrastructure and perimeter protection. The prototype will also include visible and thermal IP cameras, as well as humidity, temperature, and lux sensors with 5G connectivity to ingest potential data from other sources.  A Bayesian Inference Engine will be implemented in order to take data from several sensors to determine which detection method would be more reliable give the current conditions. For instance, in rainy or foggy weather situations the SWIR LiDAR would have better detection and tracking capabilities so this sensor would be prioritized leading to high probability of detections and reduce the chance of a false alert.   Victus platform combines deep learning from an embedded mobile graphics processor with several sensor modalities—including visible cameras, thermal cameras, LiDAR imagers and other environmental sensors. This multi-modal approach allows for real-time identification of threats during day and night operation, and even in adverse environmental conditions. The proposed LiDAR imager utilized will be capable of seeing significantly better than traditional Visible or Thermal cameras through smoke, fog, rain, and requires no outside illumination. On board processing of the sensor inputs also feeds into a Bayesian Inference Engine, which optimally determines the most likely threat detected while discarding likely false alarms.  Deployment of this technology at air bases will dramatically enhance security forces ability to rapidly respond to threats in real-time and maintain situational awareness and operational integrity 24/7/365.​