License plate recognition algorithm
The trend of the 4.0 industrial revolution has led to the continuous development of modern science and technology. Artificial Intelligence (AI) is one of the outstanding achievements that creates many useful applications to serve human life.
In particular, license plate recognition technology applied with AI analysis algorithms has become a powerful assistant in ensuring security, strictly controlling traffic vehicles, detecting violations,…
License plate recognition is a technology that applies modern AI analysis algorithms to give users the ability to automatically identify license plates of vehicles from images or videos. The technology uses algorithms such as machine learning, optical character recognition to analyze images, extract information about license plates including characters, numbers, colors. Once identified, the information will be stored in a database for management and use.
License plate recognition technology is applied in practice to meet many different fields:
- Smart parking lot: License plate recognition is applied in smart parking lots in shopping malls, apartment buildings, etc. to bring outstanding efficiency to managers. The surveillance camera system installed at the entrance and exit areas will scan and record the license plate and send it to the management system. Then, the license plate recognition algorithms allow tracking of vehicles and recording the entry and exit times accurately. From there, the system can use this data to automatically calculate parking fees quickly and save time.
- Automatic toll stations: At automatic toll stations on highways, roads, etc., the CCTV system is integrated with license plate recognition algorithms to quickly identify when a vehicle moves through the toll lane. Based on the identified license plate, the system will automatically deduct the fee from the corresponding registered account of that vehicle.
- Enterprise vehicle management: By verifying information about license plates and time of entry and exit from the area, enterprises can closely control the status of vehicles such as trucks, containers, etc., ensuring that the transportation of goods takes place stably and on schedule. Therefore, managers optimize reasonable personnel allocation, minimize the risk of loss of goods and save operating costs.
- Traffic control: Integrated license plate recognition monitoring systems are deployed mainly at important traffic locations to track and monitor vehicle traffic flow. The collected data will be used to analyze the level of congestion, thereby helping authorities come up with reasonable regulatory solutions. In addition, technology is a powerful support tool to help detect and handle traffic violations such as running red lights, driving in the wrong lane, and speeding.
DNG Corp’s license plate recognition solution
Are you looking for a smart, accurate license plate recognition solution for your organization or business? DNG Corp’s solution is designed to be applied to traffic management situations, using intelligent AI analysis algorithms to identify license plates through watch lists, uploaded data or real-time surveillance videos. Our technology allows the identification of all types of old and new standard license plates in 63 provinces and cities according to Circular 58/2020.
In particular, unlike conventional license plate recognition, DNG Corp’s solution also provides the ability to identify other vehicle attributes such as: color, brand, model, vehicle type.
As the leading authorized distributor in Vietnam of famous global technology brands in AI platform development such as: Senturian, VCA Technology, FaceMe, AIRA, Vaxtor, Hikvision, Dahua, IronYun,… DNG Corp is confident in providing customers with professional AI Platform solutions, suitable for each business need.
For more information and detailed advice on AI analysis algorithm – license plate recognition, please contact DNG Corp via Phone: 0989 595 633 (Mr Cris/ Tung. Nguyen – Brand Manager of Network Optix & AI Division) or Email: tung.nguyen@dngcorp.vn.