Top 10  Parking License Plate Recognition (ANPR) Solutions for 2025 | Compare Before You Invest

Selea is an Italian company specializing in ANPR-OCR cameras and video analysis software, creating systems that can read license plates reliably and provide detailed vehicle information. 

Their cameras are designed for high-performance license plate recognition and are widely used in both security and parking contexts. Equipped with advanced OCR algorithms and video analytics, these cameras can deliver detailed vehicle data, including make, model, and even environmental classification, making them valuable for both enforcement and access control.

For parking access management, Selea offers Qentry 2.0, a web-based software system built specifically for managing vehicle entry and exit in controlled parking areas. It supports a range of access rules and user types, including timed permits, special vehicle classifications, and reserved spaces. Features like anti-passback, manual override, and occupancy monitoring provide operators with granular control over their lots.

While Selea is strong in recognition hardware and intelligent software, its portfolio lacks some of the core elements needed for a complete parking solution. The company does not supply access control barriers or parking payment terminals, meaning operators must rely on external vendors to cover these functions. This requirement may complicate deployment, particularly for new sites aiming for a quick, plug-and-play setup. 

Hikvision’s Automatic Number Plate Recognition

Hikvision, a major Chinese manufacturer of video surveillance equipment, offers a wide range of physical security products used in civilian, industrial, and government sectors. The company has expanded from basic camera systems into broader fields, including access control, alarm systems, smart cities, robotics, and even medical imaging, securing a presence in industries ranging from transportation and logistics to retail and energy.

For the parking industry, Hikvision offers an ANPR solution that aims to improve vehicle access efficiency. At its core, the system uses advanced learning techniques to recognize vehicles with an accuracy of 98% or more and lets users adjust the ANPR camera angles from a distance, which can be useful for optimizing the field of view without the need to physically access the unit after installation.

The platform is capable of collecting and organizing vehicle data automatically, simplifying recordkeeping and improving reliability in vehicle identification. A variety of API interfaces make integration with third-party systems possible, which is essential for larger or more complex operations that use centralized management software.  

Hikvision also sells barrier gates such as the DS-TMG51X and DS-TMG4BX series, allowing operators to link ANPR recognition with physical access hardware. The company additionally offers the payment machine, the DS-TPP427 model, which supports coins, banknotes, and card transactions.  These devices suit conventional parking models but lack the broader flexibility of digital-first payment systems that support mobile apps, NFC, and remote management. Operators aiming for modern, ticketless workflows may still need third-party terminals to meet those needs.

Another consideration is the software interface. Because Hikvision designs its tools to serve multiple industries—from city traffic to logistics hubs—the platform includes a wide range of features, many of which are unnecessary for standard parking operations. As a result, the system can feel overly complex for parking operators looking for a simple, purpose-built tool. 

Asura Technologies License Plate Recognition Software ARU

Hungary-based Asura Technologies focuses on smart video analytics driven by AI,  particularly for license plate recognition.  Its core solution—the Asura Recognition Unit (ARU)—turns ordinary IP camera streams into powerful tools for identifying plates, detecting events, and recognizing vehicle make, model, and color (also known as MMR: Make, Model, Recognition), without requiring any additional physical sensors.

One of ARU’s key strengths is its modular design: basic license plate recognition comes out of the box, and additional modules, MMR, direction detection, and custom event rules,  can be added as needed. Depending on camera quality, the system can recognize plates across up to three traffic lanes from a single feed. All data can be accessed via API or exported in common formats like CSV, XML, or written directly to databases.

From a parking operator’s perspective, ARU brings some very practical tools to the table. It links to access control modules like ACE, allowing seamless connection to gates and barriers, and it supports black, white, and custom vehicle lists. A built-in database records all activity—entries, exits, and violations—which can be searched easily, while data can be stored on-site or sent to external systems. It also cross-references license plates with payment data or access lists to keep unauthorized vehicles out. However, since the company provides only software and no cameras, gates, or payment kiosks of its own, these integrations always require external hardware.

In short, for parking sites that want high adaptability, ARU offers a good balance of capabilities—assuming they have or will establish the necessary supporting hardware, system integration, and skilled technical support.

Verkada License Plate Recognition (LPR) System

Verkada is a U.S.–based provider of hybrid-cloud video security. Over the past years, Verkada has expanded from general video surveillance into intelligent analytics and vehicle recognition technology. Within this portfolio, Verkada offers a License Plate Recognition (LPR) system designed to provide real-time vehicle identification across various environments, from small private facilities to multi-lane access points.

Its LPR system combines edge processing in compatible bullet cameras with the Command cloud platform to deliver real-time plate capture, searchable history, and centralized management. Detection events are linked to full video for quick verification, and the system supports watch lists (plates of interest) with alerts, search/filter by plate and time, and API/webhooks for integrations.

Cameras can read plates at vehicle speeds up to ~80 mph (128 km/h) and cover up to three lanes depending on model and setup, enabling deployments from single entrances to multi-lane approaches.

Because recognition and buffering occur on-camera, the system continues operating if connectivity is interrupted, then syncs to the cloud when available. Organizations can manage multiple locations under one account in Command, with cloud-based software delivering continuous updates and a uniform interface across sites. The platform’s scope is security/vehicle identification rather than parking-specific workflows; features such as pay-by-plate, monetization hardware, barrier control, or parking-dedicated software are not part of the offering.

Discover how this Verkada LPR system alternative can improve access control and boost efficiency in your parking lot. 

Adaptive Recognition Smart License Plate Recognition for Parking Integration

Adaptive Recognition is an established provider in the field of intelligent imaging and software that has developed a broad portfolio of products ranging from license plate recognition cameras, passport readers, ID scanners, and other identification tools. Their ANPR technology is widely used across sectors such as traffic enforcement, border control, and access management.

For parking operators, Adaptive Recognition offers different solutions, including compact cameras like Einar for access control, Vidar for high-speed multi-lane capture, and software such as Carmen® GO that can run on existing IP cameras. The idea is simple—you can use their ANPR cameras and software together, or, if you already have cameras installed, just add the software to get ANPR capability. 

While Carmen® GO is a powerful, flexible tool that supports plates from 160+ countries, it’s important to note that it isn’t a parking-specific platform. Originally designed to serve various industries, it comes with advanced capabilities like vehicle make and model identification, motion direction analysis, and customizable script-based filtering. These are useful in high-complexity environments like highways or surveillance zones, but they exceed the actual needs of a typical parking lot.

Since Adaptive Recognition focuses on cameras and software only, it does not include parking protection equipment or payment machines in its portfolio. Therefore, to build a comprehensive parking solution, operators need to combine the system with third-party products, which offers flexibility but can introduce added complexity in setup and communication.

Tattile Edge-Based Parking ANPR Technology for System Integrators

Tattile is an Italian manufacturer focused on intelligent transport systems and automatic number plate recognition cameras. Unlike providers that package cameras together with gate barriers or pay stations, Tattile focuses entirely on smart ANPR hardware designed for integration into wider parking or traffic systems. Their cameras are used for access control, tolling, traffic enforcement, and parking automation.

The company’s Basic MK2 camera is its core parking model: a compact smart camera with onboard OCR that performs recognition directly in the device. This edge-processing design removes the need for external servers and keeps recognition fast and reliable. For challenging environments, the Vega 11 ANPR camera offers an IP68-rated enclosure, integrated IR illumination for day/night use, and support for multiple international plate formats.

Both edge-processing ANPR camera lines integrate through standard interfaces such as REST API, Wiegand, RS-485, and digital outputs, enabling seamless communication with access control barriers, payment systems, or third-party parking software. They also support whitelist and blacklist management and include local storage for image buffering during network interruptions.

Compared to competitors, Tattile’s offer lacks certain operator-focused tools such as built-in role management, remote malfunction alerts, or packaged reporting dashboards. This gap narrows the solution’s appeal to organizations with strong integration resources. In contrast, operators seeking quick deployment may struggle, since Tattile’s hardware demands significant integration work before it can be used as a complete  parking management system.