Anviz’s License Plate Recognize is a Deep Learning and AI-based license plate detection, recognition and search solution with an accuracy as high as 98%. Using still images or video feeds, the product can recognize and capture information located on car number plates and automatically log this information for future inspection. Real-time searching can also be performed on each plate detected, comparing the information gathered with a stored database of license plates.
Vehicle monitoring is a large part of outdoor security and surveillance, and license plate recognition is an integral part of this task. The product works with live cameras and archived video. The following capabilities are provided:
- Detects and recognizes license plates on moving or stationary vehicles
- Supports processing of single frames and video streams
- Compares detected plates against a watch list database and provides real-time alerts on plate matches
- Provides detailed reports
- Handles different plate styles, e.g. regular/stacked
- Supports multiple countries (check for current list)
- Various LPR/ANPR models available: gates, entrance, roadside, traffic lights, parking lots, highway, tollway and mobile/ law enforcement vehicles
Key Features of Anviz LPR
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Input: analog, digital or IP video feeds
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Output: local display on monitor, XML, reports
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Supports D1, HD, Full HD resolutions
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Frame rate: 25-30 FPS (for good tracking). Minimum frame rate: 15 FPS.
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GPU support provided
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Single or two-row license plates supported
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Vehicle speed: Stop/go, or slow/moderate (5-30 mph).
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Simple on-screen configuration
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Open and process 1-16 cameras in a server/PC
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Basic search to look for plate images by time
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Manual search for a specific license plate
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Watch list ability to automatically search a list
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Data management and recording ability
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Vehicle list, count and reports
Applications
License Plate Recognizer can be used for:
- Enterprise and commercial security
- Urban and public area monitoring
- Law enforcement and transportation