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Last Updated: Apr 25, 2025 | Study Period: 2022-2027
Automatic license plate identification (ANPR) is a domestic spying technique that employs optical techniques on photographs for the purpose of reading licence plates on automobiles. ANPR can be used to save photos captured by the cameras, as well as a customisable driver profile.
Such technology is most commonly employed by police departments and as a technique of electronic toll collecting on pay-per-use roadways surveillance. Under the Object Detection as well as Identification (OCR) technology, automatic license plate identification (ANPR) provides real-time information.
Automatic number-plate recognition (ANPR) is a technique that reads car registration plates using optical character recognition on photographs.The images acquired by the cameras, as well as the text from the licence plate, can be stored via automatic number-plate recognition, with some models able to store a snapshot of the driver.
Infrared lighting is often used in systems to allow the camera to take pictures at any time of day or night. ANPR technology must adjust for plate variances from location to location.
Rapid technological advancements have made it possible to integrate ANPR technology into cameras. This implies it may be applied to a variety of solutions to improve efficiency and security.
This automatic license plate identification aids in vehicle detection. It is beneficial in terms of security. These are ultimate solution that are well-liked by clients. Many people today are disregarding traffic laws. It is causing several road accidents.
The expenditure in vehicle number plate identification was made for these objectives. The widespread deployment of technology on the road is driving up market opportunity. Automatic number plate identification data is used for a variety of purposes.
It is feasible to prevent traffic accidents by good traffic management and speed regulation. Using certain equipment upon that road, there is more than enough protection. It is possible to detect any suspicious car on the road. Illegal activities on the road might have serious consequences.
The ANPR economy is primarily divided into several segments. In the market, there are stationary, transportable, as well as mobile categories. Furthermore, the traffic management industry is experiencing the most rapid expansion. The market for automatic number plate recognition is expected to rise.
The North America ANPR System Market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2026, registering a CAGR of XX% from 2022 to 2027.
TagMaster, a leading provider of innovative sensor systems for Smart Cities in the areas of traffic and rail, has released the first camera in the TagMaster CT series of Automatic Number Plate Recognition (ANPR) cameras. The new camera line is IP-based, with software built in-house to enable AI and deep learning solutions. The camera family is developed specifically for parking, access/security, and ITS applications (Intelligent Transportation Systems).
Conduent Transportation will deploy Q-Intrada Free's Insight product in a contract with New York tolling agencies. The automatic number plate reading (ANPR) and manual image review application software, according to Q-Free, will improve video toll collection read accuracy, reduce toll client billing errors, and save money.
To efficiently automate plate reads, Intrada Insight uses powerful network learning and machine image processing technologies, as well as manual image review processes, and is designed to work across any size toll network.
The expanding implementation of ANPR systems in video surveillance as well as road traffic implementations, infrastructure particularly in the emerging economic systems, expanding availability of capital by different authorities for ITS, and indeed the increasing use of multimedia analytics tools for intelligent transportation surveillance are the factors that drive the growth of such ANPR equipment market.
Furthermore, the fast rise in demand for smart driving solutions is propelling the ANPR system market forward.
Robert Bosch is a leading mobiliser of the ANPR Systems in the market. The latest integration has been theBosch security cameras whichnow have a scenario setting that is designed for recording licence plate photos, thanks to the release of lens software 6.50.
This environment mode restricts the maximum benefit and optimises the noise removal parameters to provide the best possible images when deciphering licence plate numbers in ANPR pieces of software.
The maximal camera shutter speed is determined by the maximum vehicle speed at the detection site. Use a 1/500 second exposure period for start-stop applications. Exposure times of 1/1750s or 1/2500s are more acceptable for velocities of 120 km/h.
Geneper Inc. is part of the component manufacture trending companies in the current industry. The Protection Centre, AutoVu automatic licence plate recognition (ALPR) technology notifies you to desired or unpermitted vehicles.
This solution provides you with real-time information about your surroundings while also assisting your team in working more efficiently. You can install either permanent or mobile ALPR, or both. To receive a complete picture of any circumstance, you can combine the AutoVu solution with video and other systems.
For more than two decades, parking management companies, police enforcement agencies, and key infrastructure facilities have relied on AutoVu.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in theIndustry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2027 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2027 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2027 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2027 |
| 21 | Product installation rate by OEM, 2022 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2022 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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