Organized Retail Crime
Organized retail groups often reuse vehicles across locations. Stingray flags repeat plates across your network, while geo-estimation and property-search help teams map patterns and target response.
Tools Used
Detection
Cross-Location
Stingray flags the same plate appearing at multiple stores
Plate history
Pattern Recognition
Full historical plate search shows movement patterns over time
Portfolio-wide
Network View
See which properties in your network are targeted most
Workflow
Build plate hotlist from incidents
Stingray ALPRAfter each incident, add the suspect vehicle plate to the Stingray hotlist. Future detections across all cameras fire instant alerts.
Map incident scenes
Geo-EstimationUpload surveillance footage frames to geo-estimate scenes outside your camera coverage area.
Run plate history search
Stingray ALPRSearch any plate in Stingray history to see detections across your network and build a movement timeline.
Identify vulnerable properties
Property SearchUse property-search to identify store clusters in the affected area and correlate with detection frequency data.
Capabilities Involved
Stingray ALPR
ALPR camera network for live detection, plate history, and alerts.
Geo-Estimation
Image geolocation from scene cues, with ranked location options.
Property Search
Map-based parcel lookup for addresses, ownership, and boundaries.
Who Uses This
Start monitoring your network
Connect your first camera and turn on live alerts.
Common Questions
Can Stingray connect cameras across multiple retail locations?
Yes. Stingray is designed for multi-site deployments. Plates detected at any camera in the network are searchable from a single interface.
How do you share evidence with law enforcement?
Stingray generates exportable detection reports with timestamps, camera IDs, and plate photos. These can be exported directly for law enforcement submission.
Can we add third-party stolen plate databases to the hotlist?
Hotlist import is supported. Contact us for integration details with NCIC or regional stolen vehicle databases.