Asmag.com recently spoke to a few ANPR companies to know what they consider as factors affecting demand.
Automatic numberplate recognition systems (ANPR) are more popular than ever before. According to MarketsandMarkets, the global ANPR system market is projected to reach USD 4.8 billion by 2027 from USD 3.1 billion in 2022 at a CAGR of 9.2 percent during this period.
The research agency suggests that the major factors driving the growth include the increasing deployment of ANPR systems in security and surveillance and traffic management applications, infrastructure growth in emerging economies, increasing allocation of funds by various governments on ITS, and the growing use of video analytics technology for intelligent monitoring of vehicles.
But are these the only factors? Asmag.com recently spoke to a few ANPR companies to know what they consider as factors affecting demand.
Larry Legere, Commercial Director- AutoVu, Genetec
In parking applications:
The increase in city and the urban dwelling has resulted in more cars and even fewer available parking spots. According to a recent study by Markets and Markets, the global parking management solutions market is expected to top $5.15 billion by 2023. A key driver in this growth is smart parking deployment projects which have incorporated technology into parking management.
Cities, municipalities, law enforcement, and private parking companies are incorporating automatic license plate recognition (ALPR) technology to manage parking spot availability and enforce parking regulations for both on- and off-street parking. Using ALPR with parking solutions can boost enforcement efficiency with solutions like digital chalking, increased parking compliance resulting in more paid fines and increased revenues, and improved customer service with more parking spot availability by ensuring that only paid customers are taking up valuable spots., Machine learning is increasing the accuracy of license plate recognition, and end-users are finding more ways to utilize the technology.
In law enforcement application:
Law enforcement officers invest a great deal of time in the pursuit of vehicles of interest. They seek vehicles that are reported stolen that are suspected of being involved in criminal activities, are owned by individuals wanted by the authorities for warrants or parole violations, or that have racked up unpaid fines.
Improvements in automatic license plate recognition (ALPR) have given law enforcement organizations a significant advantage in locating wanted vehicles and identifying suspects, apprehending criminals, and investigating crimes. Adding this tool can serve as a force multiplier which is a much-needed boost for police as they are always looking at ways to maximize resources and operate more efficiently.
Stephanie Weagle, CMO, BriefCam
BriefCam is differentiated by its comprehensive platform approach to video analytics. Instead of offering a point solution for ALPR, BriefCam offers license plate recognition as a fully integrated capability within its extensible video analytics platform. For “in the wild” surveillance scenarios, BriefCam empowers users to recognize license plates based on watchlists for vehicle behavior analysis and traffic optimization.
The BriefCam video content analytics platform empowers people, companies, and communities to realize the value of their video surveillance content by making video searchable, actionable, and quantifiable. By leveraging BriefCam, users can review hours of video in minutes; respond immediately to critical situational changes in the environment; and quantitatively analyze video to derive actionable insights for data-driven safety, security, and operational decision making, all while effectively balancing sensitivity, accuracy, and efficiency.
Dean Drako, CEO, Eagle Eye Networks
Automatic License Plate Recognition has been a growing market for Eagle Eye Networks for several years. The Eagle Eye VMS (video management system) is an open platform designed to give our customers choice. We have supported and will continue to support many manufacturers’ ALPR products, including cameras.
Over the past several months, the adoption of ALPR has accelerated, coinciding with the arrival of cloud-managed ALPR systems that use artificial intelligence (AI). Organizations of all kinds are interested in the business optimization and security benefits of the newer solutions. Demand is also driven by the general trend of integrators moving to cloud video surveillance and a subscription-based business model to add recurring revenue and increase profits.