Automatic Number Plate Recognition Market Analysis
AUTOMATIC NUMBER PLATE RECOGNITION MARKET ANALYSIS
Automatic Number Plate Recognition Market, By Type (Fixed ANPR Systems, and Portable ANPR Systems), By Application (Security & Surveillance, Toll Management, Parking Management, Traffic Management, and Others), By End User (Commercial, and Government), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)
In May 2022, the Tamil Nadu Police, a leading law enforcement agency in India, announced the installation of Automatic Number Plate Recognition (ANPR) cameras across the state to locate stolen vehicles. This initiative is part of an integrated vehicle monitoring system that will utilize real-time data from the ANPR cameras to automatically detect and alert authorities when a stolen vehicle is identified. The system will also generate e-challans for traffic violations and track the routes of stolen vehicles by analyzing data from multiple ANPR cameras. This innovative approach aims to enhance vehicle security and curb criminal activities involving stolen vehicles in Tamil Nadu, India.
In December 2021, TagMaster, a prominent provider of identification and mobility solutions, announced an enhancement to its Automatic Number Plate Recognition (ANPR) technology. This upgrade aims to facilitate the management of site capacity at Household Waste Recycling Centers (HWRC) that experience high visitor volumes.
In November 2021, Bosch Security Systems, a leading provider of security and safety solutions, launched a video analytics software called Traffic Detector. This innovative software is designed for traffic applications, including number plate recognition, incident detection, and intersection monitoring.
In November 2020, TagMaster, a leading provider of identification and mobility solutions, launched the first camera in its new family of Automatic Number Plate Recognition (ANPR) cameras, known as TagMaster CT. This new IP-based camera family offers enhanced features such as onboard processing, dual cameras (IR and color), a dynamic OCR engine, and ease of integration into industry-standard protocols.
Automatic Number Plate Recognition Market Report Snapshots