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Promoting DX through vehicle number recognition.
AIKTIA is an external device specifically designed for i-PRO's AI network cameras that collects vehicle license plate information captured by AI cameras and converts it into text data. It enhances security measures such as streamlining parking lot entry and exit management and improving crime prevention strategies.
Industry-leading vehicle number recognition rate of 99.5%! Alleviating congestion during entry and exit with gate opening and closing for registered vehicles.
"Recognition Boss" is a system that automatically detects license plates from vehicle images and digitizes, stores, and utilizes the information. License plate recognition required advanced technology and expensive equipment, but we have achieved high performance and low cost with our unique recognition algorithm. It alleviates congestion during busy times for employees, contractors, and trucks by automatically opening and closing gates. 【Features】 ■ Achieves high speed and high recognition rates by supporting advanced multiprocessors ■ Recognition processing speed averages about 0.06 seconds ■ Gates open and close only for registered vehicles ■ Only pre-registered individuals can open and close gates, and the duration of stay is calculated from the time difference of entry and exit ■ Alleviates congestion during busy times for employees, contractors, and trucks by automatically opening and closing gates *For more details, please download the PDF or feel free to contact us.
We will database the license plate information of vehicles visiting the store. We support everything from entry and exit management to security and marketing.
The vehicle number recognition system SHAVAN3.0 reads the license plate information of vehicles passing through installation points and compiles it into a database along with images taken at the time of passage. It allows for vehicle searches and displays of images from the time of passage based on the recorded number information, as well as the output of analysis reports such as stay time rankings and monthly visit frequency. This is an evolving vehicle number recognition system that will sequentially accommodate future additions such as alphabetic vehicle type codes, designs with patterns, and newly registered local numbers. *Enrollment in an annual maintenance contract is required.
![Data analysis and graphing of visitor vehicles for customer attraction strategy [Aggressive vehicle number recognition]](https://image.mono.ipros.com/public/product/image/0e3/2000737019/IPROS07904684737092245761.png?w=280&h=280)
Database management of vehicle license plate information for store visits. We support everything from entry and exit management to security and marketing.
The vehicle number recognition system SHAVAN3.0 reads the license plate information of vehicles passing through installation points and databases it along with images taken at the time of passage. It allows for searching vehicles based on recorded number information and displaying images from the time of passage, as well as generating analysis reports such as stay time rankings and monthly visit frequency. This is an evolving vehicle number recognition system that will sequentially support future additions such as alphabetic vehicle type codes, designs with patterns, and newly registered local numbers. *Joining an annual maintenance contract is required.
We will database the license plate information of vehicles visiting the store. We support everything from entry and exit management to security and marketing.
The vehicle number recognition system SHAVAN3.0 reads the license plate information of vehicles passing through installation points and compiles it into a database along with images taken at the time of passage. It allows for searching vehicles based on recorded number information and displaying images from the time of passage, as well as generating analytical reports such as stay time rankings and monthly visit frequency. This is an evolving vehicle number recognition system that will sequentially support future additions such as alphabetic vehicle type codes, designs with patterns, and newly registered local numbers. * Enrollment in an annual maintenance contract is required.
![[Market Report] Global Market for Automatic License Plate Recognition Systems](https://image.mono.ipros.com/public/product/image/d82/2000976959/IPROS14165194003889418569.jpeg?w=280&h=280)
The global market for automatic number plate recognition systems is expected to accelerate to 6.3 billion dollars by 2031, with an average annual growth rate of 8.2%.
The global automatic number plate recognition (ANPR) system market is experiencing remarkable growth, with revenue surging to approximately $3.1 billion in 2022 and projected to accelerate to an estimated $6.3 billion by 2031. This impressive rapid growth is supported by a robust compound annual growth rate (CAGR) of 8.2% during the forecast period from 2023 to 2031. The global ANPR system market includes a variety of solutions, ranging from fixed camera systems to mobile and portable systems. These systems are highly versatile and can adapt to diverse environments, making them essential tools for modern security and surveillance needs. For application methods, please check the [PDF download] button or apply directly through the related links.
