Smart License Plate Recognition (Smart LPR) is a software library conveniently designed to work with any existing cameras and processors. It's the ideal cost-effective software choice for application developers who want to streamline their coordination efforts and contribute to building safer cities, leveraging advanced smart technologies.
- State-of-the-art deep learning technology - Scan and capture accurate license plate data even in the most demanding of scenes-including low resolution and blurry images
- Poorly lit nighttime road conditions, and license plate protectors, including IR shields.
- Real-time processing - A perfect pairing between the Sony video pipeline and GPU resource management optimization technique and LPR software leads to fast processing in edge devices.
- Smart LPR boasts a processing performance of 35fps (equipped with NVIDIA Jetson TX2).
- Cost-effective AI solution - Take the first step to build a smarter, safer city. By removing unnecessary hardware from our sensing software, Smart LPR is a cost-efficient software library that provides an economical alternative for networks of mobile and
- commonly seen in license plate tracking applications for law enforcement, Electronic Toll Collection (ETC), traffic agencies, parking lots and garages.
- Hardware flexibility - Equipped to work with a variety of IP, CSI, and USB cameras as an input source, Sony LPR software is easy to install, use, and integrate into an organization's daily workflow.
- Currently supported by Linux OS and NVIDIA Jetson Series GPUs, Sony LPR can also be adapted to meet specific partner needs for vehicle tracking.
- 4K video resolution - Analyze video streams in up to 4K video resolution (UHD) with Sony LPR.
- Designed to identify license plate numbers in real-time, it analyzes video in ultra-high definition and outputs a text representation of US license plate characters with a high degree of certainty.
- Added recognition for enhanced confidence - With 60 px W x 30 px H minimum pixels per foot per plate recognition, personnel can accurately review data with increased confidence.
- Additional data measures include plate image cropping, confidence level support, and state recognition result (partially supported).
