Automatic Number Plate Recognition (ANPR) is a surveillance system with primary capability of capturing the image of vehicles and identifies their license number. ANPR systems consist of high-speed cameras with IR filters, processors capable of performing optical character recognition (OCR), application software, user interface, and an alert capability to notify operators in case of a match. ANPR systems can be a standalone device or can be used with existing traffic enforcement cameras or closed-circuit televisions and are used by the police forces across the globe to prevent and detect crimes. These systems are also used for electronic toll collection on roads and for monitoring traffic activities such as red light adherence and speed enforcement. Additionally, ANPR systems can assist in the detection of stolen vehicles. The ANPR technology varies from location to location depending on the designs of number plates.
Scope of the Report:
This report focuses on the ANPR (Automatic Number Plate Recognition) Cameras in Global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
Market Segment by Manufacturers, this report covers
Bosch Security Systems
NDI Recognition Systems
Euro Car Parks Limited (UK)
Vigilant Solutions, Inc. (US)
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Mobile ANPR Camera
Fixed ANPR Camera
Portable ANPR Camera
Market Segment by Applications, can be divided into
Electronic Toll Collection
There are 15 Chapters to deeply display the global ANPR (Automatic Number Plate Recognition) Cameras market.
Chapter 1, to describe ANPR (Automatic Number Plate Recognition) Cameras Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of ANPR (Automatic Number Plate Recognition) Cameras, with sales, revenue, and price of ANPR (Automatic Number Plate Recognition) Cameras, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of ANPR (Automatic Number Plate Recognition) Cameras, for each region, from 2013 to 2018;
Chapter 5, 6, 7, 8 and 9, to analyze the market by countries, by type, by application and by manufacturers, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2013 to 2018;
Chapter 12, ANPR (Automatic Number Plate Recognition) Cameras market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023;
Chapter 13, 14 and 15, to describe ANPR (Automatic Number Plate Recognition) Cameras sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.
The market engineered data is verified and validated by a number of experts, both in-house and external.
REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.
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