The definitive license plate recognition software boasting the highest recognition accuracy in the country (99.5%) and the largest shipment record (7,000 licenses).
"EyeTech LPR" is an image recognition software that instantly recognizes license plate areas from IP camera images and outputs vehicle number information as text data and image data. Thanks to EyeTech's advanced image processing technology, it achieves high recognition accuracy and flexible camera work. By integrating it into higher-level applications created by system integrators and end users, it functions as software specialized for parking systems and industry-specific applications. It provides suitable vehicle number recognition technology for various platforms such as Windows and Linux. Not only does it recognize Self-Defense Force vehicles and diplomatic vehicle numbers, but it also promptly responds to newly issued local and design license plates nationwide, allowing for continued use with peace of mind after implementation. 【Features】 〇 Vehicle number recognition function 〇 Mask function 〇 Direction detection function 〇 External surveillance camera integration function *Detailed specifications are provided below. *For more detailed information, please download the PDF catalog or feel free to contact us.
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basic information
【License Plate Recognition Processing Unit Specifications】 〇 Recognized License Plates ・National 4-Wheel Vehicle License Plates (Large Vehicles, Regular Vehicles, Light Vehicles, Diplomatic Vehicles, Self-Defense Forces Vehicles) 〇 Excluded License Plates ・Light-emitting License Plates (when illuminated) ・License Plates with Acrylic Covers ・Special Vehicle Plates ・U.S. Military Vehicles ・Temporary License Plates (only supports registered series numbers) ・Plates that cannot be read visually (including dirt, deformation, obstruction, etc.) 〇 Allowable Angles: Horizontal ±45°, Vertical ±30°, Rotation ±24° 〇 Field of View Width: The width of the license plate must be captured at 100 pixels or more (Recommended: 120 to 180 pixels or more *when shooting in VGA to FHD) 〇 Recognition Processing Speed: Approximately 20 to 400 msec 〇 Recognition Accuracy: Over 99% (dependent on environment) 【Input/Output Specifications】 〇 Input: IP Camera 〇 Output: Text File (csv), Image File (jpeg), etc. 【Recommended Operating Environment】 〇 Windows OS Version LPR OS: Windows 11 (64Bit) CPU: Intel Core-i7, Memory: 8GB *Please contact us if you require support for Linux OS.
Price range
Delivery Time
P1
Applications/Examples of results
【Examples of Achievements】 - Parking lot, gate entry/exit management and vehicle number recognition application "ParkingEyes" - Sales promotion application for oil products at gas stations - Hospitality and sales promotion system for car dealerships - Customer management system for drive-thrus - Integrated system for weight measurement (industrial waste factories, cleaning plants, lime and material factories, etc.) - Parking system - Highway system - Vehicle number recognition system for power plants, various plants, and government offices, etc.
Detailed information
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| Windows Version LPR | |
| Linux Version LPR | |
| ARM Version LPR | |
| Server Version LPR |
catalog（1）
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Vehicle Number Recognition Engine "EyeTech LPR"
Company information
We, EyeTech, are a group of experts who leverage cutting-edge image processing technology and integrate various technologies to contribute to the development of social infrastructure and its convenience. Our vision is to improve the next generation of society through the development of diverse systems, making it better and more convenient. To realize this ideal, we are committed to researching and developing innovative technologies with high practicality and effectiveness, and we are advancing steadily.
