Databuoy Launches Advanced LPR In Shotpoint Platform

Databuoy Corporation, a Department of Homeland Security (DHS) SAFETY Act Designated provider of acoustic gunshot detection and localisation technologies, announced the commercial launch of integrated License Plate Recognition (LPR) capabilities within its Shotpoint® platform.

The LPR enhancement enables customers to automatically capture, buffer, and analyze vehicle activity surrounding deployments, delivering critical plate data and video evidence to public‑safety teams.

LPR to the suite of cameras

LPR technology operates at the edge and can be used alone or serve to provide extra data

“Many of our customers are interested in adding LPR to the suite of cameras that we integrate with,” Kathleen Griggs, CEO of Databuoy said.

“This integration is another example of the many types of applications our edge technology can support.” This LPR technology operates at the edge and can be used independently or serve to provide additional information when a gunshot is located.

Key highlights

• Continuous Vehicle Buffering: Edge devices monitor local traffic, maintaining a rolling cache to preserve license plate and travel direction data in the event of a gunshot.
• Instant Correlation: Gunshot events detected by Shotpoint are automatically linked with LPR data and associated video, consolidating all evidence into a single, time-stamped investigative record.
• Seamless Integration: The LPR module is compatible with ONVIF-compliant and RTSP cameras, allowing for rapid deployment in various environments.

Real-World Impact

Databuoy’s advanced public safety technologies are designed for 24/7 persistent operations. Whether responding to a gunshot, an LPR hit, or a combination of both, the system processes and delivers critical data in seconds—arming first responders with situational awareness before they even arrive at the scene.

This fusion of acoustic and visual data accelerates suspect identification, improves apprehension rates, and strengthens prosecutorial outcomes.