We capture and detect the license plates of moving vehicles from network camera footage!
The vehicle number recognition system is a system that uses AI (deep learning) technology to read license plates from images captured of vehicles passing at high speed, and saves the characters and numbers as data. (It can recognize vehicles even at a long distance from the camera.) Typical examples include the N system installed on highways and main roads for recording passing vehicles, and the T system for providing travel time and traffic information. In addition to vehicle entry and exit management and gate opening and closing, it can also be integrated into systems currently under development as a "number recognition engine." We offer three options: "On-Premises Vehicle Number Recognition System," "Cloud-Based Vehicle Number Recognition System," and "AI Vehicle Number Recognition System Construction Service."
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basic information
To detect vehicle license plates using AI technology, it leads to a reduction in equipment and construction costs compared to other systems that operate with external sensors. The recognized numbers are automatically output as text files, making it easy to develop original management software and more. ■ High recognition rate, fast response It boasts an industry-leading recognition rate of 99.5%*1. It also supports large vehicles (large trucks and buses). The recognition speed is a high-speed recognition of 0.6 seconds per image*2. Gate integration is also prompt. ■ Regular version upgrades New information, such as local license plates, will be updated regularly through a support contract*3. ■ Can be built using only network cameras and computers ■ Compatible with general-purpose cameras ■ Recognition at night is possible ■ Customizable ■ Optional features (customer data integration features) - Customer data management - Display of detailed information for recognized vehicles - Management of vehicle entry and exit - Integration with patrol lights *1: This does not guarantee recognition of all vehicles. *2: This is the recognition speed per unit when using a network camera (reference value measured by our company). *3: The support contract is chargeable.
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Applications/Examples of results
● Automation of Entry and Exit Procedures By matching numbers with a pre-registered database, it is possible to open the gate only for specific authorized vehicles. Additionally, an alarm can be triggered when a criminal's vehicle enters. ● Use as a Promotional Tool Linking customer information with license plates allows for the retrieval of customer information when they arrive by car, leading to improved customer service. Furthermore, analyzing vehicle statistical data can be utilized for visitor marketing. ● Registered Vehicle Authentication Only vehicles of authorized personnel (employees) can enter and exit. ● Detection of Malicious Vehicles An alarm is activated when a criminal's vehicle enters. ● Vehicle Statistical Analysis Visitor marketing (frequency of visits, region). ● Automatic Guidance Within the Venue Automatic guidance to designated locations for each vehicle. ● Gate-Linked Automatic Entry and Exit Control of vehicle entry and exit at each gate is possible. ● Vehicle Management at Construction Sites ● Industrial Waste Disposal Simultaneous recognition during measurement with truck scales, along with data storage of the measurement values. ● Used Car Dealers When customers visit, customer information is displayed in conjunction with the customer management system.
Detailed information
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●Linkage with the entrance gate By linking the opening and closing of the bar with the vehicle number recognition system, it is possible to permit only the entry of pre-registered vehicles. This eliminates the need for staff to verify registered vehicles at the entrance gate, simplifying the entrance management operation.
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●Management of Entry and Exit Records By linking the vehicle number recognition system with the entry and exit application, it is possible to automate the ledger management of the time a vehicle enters and exits. This eliminates the need for handwritten ledgers, and by visualizing entry and exit data, it becomes possible to understand congestion levels and adjust the deployment of monitors accordingly.
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System K has reached its 35th term since its establishment this year. During this time, we have been blessed with many encounters and are currently working with over 3,000 companies. For the past 35 years, our company has continued to try things that "the world has not yet recognized or engaged in," with a global perspective. Our specialty, the network camera business, was born out of this challenge. In recent years, information has come to be recognized as a "valuable asset" for companies, and the importance of systems that manage, store, and analyze that information has increased. While it is easy to focus on the technical aspects of functionality when it comes to systems, the most important thing in development is to be close to the "people" who will use the system. We have approached our work with the primary goal of contributing to our customers' growth strategies. Even with existing technologies and systems, we provide unique added value by enhancing performance in areas such as usability, reliability, and confidentiality. In this era of transformation, we want to continue proposing new value to everyone, unafraid of change and never forgetting our compassion for people, while radiating our "one and only" individuality.