What is Carmen® Nano?
Carmen® Nano is an ANPR software for NVIDIA® Jetson™-based devices, turning IP cameras into high-accuracy license plate recognition systems. It supports 38K+ plate types from 160+ countries and integrates easily via API for traffic monitoring & access control.
Problem
Currently, users rely on traditional surveillance systems that can have limited capabilities in terms of accuracy and adaptability to various license plate formats. These older systems may not integrate well with modern technology and could require substantial manual monitoring or data processing, which are drawbacks of this old situation.
Solution
Carmen® Nano is an ANPR software for NVIDIA® Jetson™-based devices, which transforms IP cameras into high-accuracy license plate recognition systems. Users can monitor traffic and control access effectively through integration via API, and it supports 38K+ plate types from 160+ countries.
Customers
Traffic management authorities, security agencies, parking management companies, and smart city developers looking to enhance traffic monitoring and enhance security measures with advanced technology.
Unique Features
The software's ability to support a wide range of plate types from numerous countries and its compatibility with NVIDIA® Jetson™ devices make it highly adaptable and reliable for varied use cases in traffic monitoring and security.
User Comments
Users appreciate the accuracy and wide geographic and typographic support.
Integration via API is seen as straightforward and flexible.
Some users highlight the benefit of leveraging NVIDIA's technology.
There is positive feedback on the scalability of the solution.
While most reviews are positive, some note the need for ongoing updates to maintain accuracy in diverse environments.
Traction
Data specific to user numbers or financial metrics such as MRR or ARR for Carmen® Nano is not directly provided, but its capability to recognize over 38,000 plate types from 160+ countries indicates a robust offering likely to attract broad usage across different regions.
Market Size
The global automatic number plate recognition market is expected to reach $4 billion by 2026, growing at a CAGR of about 10% from 2019, largely driven by technological advancements and increased security needs in urban areas.
