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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Technology, software, and AI. In order to extract the numbers and letters that make up licence plates, License Plate Recognition (LPR) requires AI. It accomplishes this by looking up automobiles and licence plates in movies or images, then turning that information into usable digital data.
LPR cameras are cutting-edge traffic sensors that take pictures of licence plates and digitise them. License Plate Recognition is the term for this (LPR). Regular video cameras can't perform LPR in real-time 20 ms or less or with extremely high precision ,more or higher, this is required for LPR to be useful.
Equipped with specialised hardware and firmware, LPR cameras instantly identify, capture, and analyse the image of the licence plate, carrying out additional operations beyond the standard OCR Optical Character Recognition, specific to Licence Plates (and to every region plate design!).
This enables the digitization process in challenging/extreme circumstances like moving targets, extremely open angles, poor ambient light, fog, dirt, etc.
The Global entrance and exit AI LPR camera market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Milesight Entrance & Exit AI LPR Cameras allow a standalone licence plate recognition solution for quick implementation scenarios like gates or barrier management with great efficiency and accuracy thanks to built-in AI LPR algorithms and inbuilt black and white lists.
Additionally, a fully closed-loop traffic solution may be created by combining it with Milesight's own back-ends, such as Milesight NVR, CMS, and Milesight VMS Enterprise. The seamless operation of access control procedures at both entrances and exits is guaranteed by this highly integrated system.
With the aid of Milesight Entrance & Exit AI LPR Cameras, standalone solutions for both no-plate vehicle detection and licence plate identification are now possible. Access control at any gate, including one at a university or an apartment complex, is made efficient and accurate by an alarm being sent off as soon as the relevant rule-compliant licence plate is discovered.
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 the Industry |
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, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
21 | Product installation rate by OEM, 2023 |
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, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |