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GeoVision LPR (Licensed Plate Recognition) system uses Neural
Networks technology, a special artificial intelligence method
to identify vehicles by their license plates. The LPR system
integrates with various I/O devices, such as access- control
system, and use CCTV cameras to capture images of the plate.
For example, when a vehicle approaches the gate, the LPR
software "reads" the license plate, signals to the
parking gate, and keeps a time record on the entry or exit of
the parking lot for automatic payment calculations. LPR can be
used in parking management, stolen car search, traffic
monitoring, etc.
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Major
Function and features |
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All types of vehicles are recognizable
- Full plate or partial plate recognition adjustable
- Setup numbers of captured images for comparison
- Recognition time: 0.2-0.3 seconds (less than 1 sec.)
- Users can choose to [Save], [Advise] or [ActiveI/O device]
after recognition/comparison
- Unauthorized plates will activate the system to send
immediate alarm to guard or police force.
- Recognition Rate: 99.9%
- Record in JPEG format. 5~8 million entries in a 40GB HDD.
- Input the plate number (including all numbers or partial
numbers) in order retrieve the entry and exit time per car
- Retrieve vehicle's entrance/exit information within a
specific time interval.
- Apply Digital Watermark Technology for legitimate record.
- ESupport Recycle and Backup features
- EInput/modify data of [Car holder], [Plate number] and
[Contact Info] in the database for management and data
analysis purpose |
I/O
device integration and support |
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The system can be connected with multiple I/O devices such
card reader, ticket-out system, and gate control system,
etc...
- Provide [Hot Key] to manually activate I/O devices.
- Supports plug-in applications such as access control,
proximity reader, coin & token units.
- Support various combination of I/O input signal (0-8 sets)
to avoid false alarms. |
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