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IVA Pro License Plate + Make Model combines plate recognition with vehicle classification to deliver real-time insights. This edge-based software provides the rich data needed to refine forensic searches and support confident decision-making in parking, fleet, and city traffic environments.
Commercial Type No: MVC-IVA-LPRX
Detects and recognizes license plates
Recognizes vehicle make and model
Enables more refined forensic search
Ideal for stop and go and city traffic scenarios
Real time data transmission
Refine forensic searches with detailed metadata
The software combines plate recognition with vehicle class, make, and model data to help operators locate specific vehicles instantly.
Maintain awareness in stop-and-go traffic
Designed for congested urban scenarios, the system reliably captures and classifies vehicle information even during unpredictable traffic flow.
Gather richer data for traffic analysis
Operators can easily track brand distributions and vehicle frequency to make informed decisions for parking management and fleet operations.
Transmit real-time vehicle data instantly
By processing analytics at the edge, the system delivers immediate insights to your video management software without straining network bandwidth.
Integrate seamlessly into existing security workflows
The open architecture ensures that vehicle identification insights flow directly into your current systems for fast, confident decision-making.
Frequently Asked Questions
Common questions about the IVA Pro License Plate + Make Model
By capturing detailed vehicle data—including the license plate, class, make, model, and direction of travel—the software allows operators to filter and locate specific vehicles quickly. This significantly reduces the time spent reviewing footage and accelerates post-incident response.
The software is ideal for stop-and-go city traffic, parking management facilities, and fleet operations. It reliably captures rich vehicle data even in congested urban environments where continuous situational awareness is critical.
No, the analytics are processed directly at the edge on the camera. This edge-based approach ensures real-time data transmission while reducing network bandwidth and eliminating the need for complex, costly central infrastructure.
Relying on a license plate alone can leave blind spots if the plate is obscured. By automatically detecting the vehicle class, make, and model alongside the plate, security teams gain richer data to understand traffic patterns, verify vehicle identities, and monitor facility usage.
The software features an open architecture and integrates seamlessly with major video management systems. This unified experience ensures operators receive instant data, metadata, and alerts directly within their current interfaces, allowing them to act earlier and with confidence.
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