Controlling the entry and exit of vehicles with precision has become more than just an operational necessity. Today, it is a strategy for security, efficiency, and intelligence for companies, condominiums, industries, and public agencies. In this context, LPR Digifort technology has taken on an even more strategic role.
While a few years ago license plate recognition was almost exclusively associated with traffic fines, this concept has evolved into something much more robust, secure, and accessible. The combination of modern cameras, enhanced OCR algorithms, and intelligent analytical systems has made automated access control a reliable resource for any operation that needs to identify, authorize, or monitor vehicles in real time.
Continue reading this article to understand how the technology works, who it is intended for, and what differentiators it adds to your security project. 😉
What is LPR and why is it so important today?
LPR (License Plate Recognition) refers to the technology that uses video analysis and OCR to automatically identify the characters on a license plate captured by a camera.
The significant evolution in recent years lies in the leap in precision and speed. Today, LPR not only identifies the presence of a vehicle in the scene but also recognizes the plate with high reliability, even in adverse conditions such as rain, low light, or moving vehicles.
This capability has made LPR an essential part of modern security routines, such as:
- Automatic barrier control
- Access authorization via pre-configured lists
- Monitoring of suspicious vehicles
- Integration with automation systems
- Operational support in parking lots and logistics centers
- Identification for auditing and traceability
The result is simple: less human intervention, more precision, and more security.
Identifying is not recognizing: why this makes a difference
One point that still raises questions is the difference between identifying and recognizing. Although they may seem similar, the concepts have distinct objectives.
Identifying means perceiving that there is a vehicle in the field of view. It is a basic process, done even by simple cameras, without any advanced analysis. In other words, you know that something passed by, but you don’t know what.
Recognizing, on the other hand, means interpreting the plate, extracting the characters, and transforming them into data that the system can act upon. This is where OCR and the full potential of LPR come into play: generating alerts, making decisions, and integrating with automations.
In practice, it is recognition that allows the system to inform whether the vehicle is authorized, if it belongs to the company’s fleet, if it has restrictions, or if it should generate an immediate alert.
Digifort: a national reference in intelligent video monitoring
Digifort is a Brazilian company recognized worldwide, present in over 130 countries. The manufacturer stands out for its constant updates, recognized technical support, and a robust set of analytical and management modules. In recent years, the platform has advanced even further, keeping pace with the demands of smart cities, industrial automation, and complex corporate projects.
Among its modules, LPR Digifort remains one of the most sought after and also one of the most enhanced.
Updated key features of LPR Digifort
The demand for intelligent security has grown, and Digifort's LPR module has evolved to keep up with this scenario. Today, the solution is not limited to recording vehicles. It transforms information into automatic decisions that elevate the level of control, efficiency, and operational security.
Here are the main updated features that make LPR Digifort a solid choice for modern access control projects:
- Integration with internal and external databases, including third-party APIs.
- Compatibility with modern access control equipment, such as smart barriers and parking systems.
- Operation with virtual or physical loops.
- Unlimited database for records.
- Accurate reading even at speed, limited only by the camera's capability.
- Advanced searches by date, time, plate, code segment, or camera used.
- Automatic reports of suspicious or out-of-pattern vehicles.
- Evidence printing and record export.
- Integration with automations, such as gate opening and sound alerts.
- Advanced recognition of Mercosul plates and variations from neighboring countries.
What about Mercosul plates?
Since 2020, the Mercosul standard has become mandatory for new issuances and replacements of plates in Brazil. As a result, LPR algorithms needed to be updated to recognize both old and new models.
The Digifort LPR module already accurately interprets both standards. Whether the old model or the Mercosul, with four letters and three interspersed numbers, everything is recorded in a single database, ensuring traceability even in operations with mixed fleets.
How to choose the right equipment to ensure the best performance of your LPR?
Even with excellent software, the performance of LPR heavily depends on the choice of camera. Currently, fixed cameras with good sensitivity, lighting control, and adequate resolution are the most recommended. Additionally, appropriate lenses, strategic positioning, and supplementary lighting (when necessary) directly influence the accuracy rate.
In summary, saving on hardware can be costly. The good news is that there are now affordable and highly efficient cameras for professional projects.
Why invest in LPR now?
The search for automation in access control has grown significantly. Companies are looking to reduce human errors, streamline routines, and elevate security levels without complexity. LPR meets this demand: autonomy, intelligence, and fewer risks.
It is a mature, accessible, and flexible technology, ideal for entrances, shopping malls, industries, condominiums, logistics centers, and public operations.
And of course, when applied with specialized guidance, the results are even more consistent.
Now that you know how LPR Digifort can strengthen the security of your operation, how about getting a quote from our team of specialists?
