The definitive license plate recognition software boasting the highest domestic recognition accuracy (99.5%) and the largest number of license shipments in the country (7,000 cases).
"EyeTech LPR" is an image recognition software that instantly recognizes the license plate area from images captured by IP cameras and outputs vehicle number information as text data and image data. It achieves high recognition accuracy and flexible camera work through a uniquely developed algorithm. By integrating it into higher-level applications created by system integrators and end users, it functions as a parking system or application software specialized for specific industries. It provides optimal vehicle number recognition technology for various platforms such as Windows and Linux. Additionally, it is designed to immediately accommodate newly issued local license plates and plates with designs, ensuring peace of mind for users even after implementation. 【Features】 - Vehicle number recognition function - Masking function - Direction detection function - External surveillance camera integration function
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basic information
【License Plate Recognition Processing Specifications】 〇Recognition Targets ・Medium-sized license plates (medium plate) ・Large-sized license plates (large plate) ・Light vehicle license plates (medium plate) ・Diplomatic numbers ・Self-Defense Forces numbers 〇Exclusions ・Temporary operation permit license plates / transfer operation permit license plates (temporary numbers) ・Old license plates with a one-character place name or a one-digit classification number ・Small-sized license plates (small plate*): Old light vehicles, etc. ・Other special vehicle plates ・All two-wheeled/three-wheeled numbers (small plate*, moped numbers, etc.) *Small plates can be supported as an option (for a fee) 〇Allowable Angles: Horizontal angle ±45 degrees, vertical angle ±30 degrees, rotation angle ±24 degrees 〇Shooting Size: License plate width of 100 pixels or more (recommended: 120 to 180 pixels or more *when shooting in VGA to FHD) 〇Recognition Processing Speed: Approximately 100 msec 〇Recognition Accuracy: 99% or more (dependent on the 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: Windows 10 64bit, Windows 11 CPU: Intel Core i5 or Core i7 with 8 threads or more
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 dealers - Customer management system for drive-thrus - Integrated system for weight measurement (industrial waste plants, cleaning plants, lime and material plants, etc.) - Parking system - Highway system - Vehicle number recognition system for power plants, various plants, and government agencies and more.
Detailed information
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Recognition rate 99.5%
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Recognition speed 0.05 seconds
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Corresponds to Self-Defense Force numbers, diplomatic numbers, and motorcycle numbers. *Small plates can be accommodated as an option (for a fee).
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Mask function
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Direction detection function
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Even license plates captured under poor conditions, which are difficult to recognize with general recognition engines, can be recognized with high accuracy.
Line up（4）
| Model number | overview |
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| Windows Version LPR | |
| Linux Version LPR | |
| ARM Version LPR | |
| Server Version LPR |
catalog（3）
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Vehicle Number Recognition Engine "EyeTech LPR"
EyeTech LPR for ACAP
License Plate Recognition Camera LPR for ACAP
Company information
We, Aitec, are a group of experts who leverage cutting-edge image processing technology and aim to contribute to the development of social infrastructure and its convenience by integrating various technologies. Our vision is to improve the next generation of society and make it more convenient through the development of diverse systems. We are committed to researching and developing innovative technologies with high practicality and effectiveness to realize this ideal.