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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
On highways and other major roads, the automatic number plate recognition cameras will, among other things, catch speeding, jumping red lights, and other traffic violations. An Intelligent Traffic Management System (ITMS) has been introduced by traffic police, which uses cameras with artificial intelligence to detect traffic violations and send challans to mobile phones via SMS.
By incorporating cutting-edge AI-powered solutions into video surveillance systems, security personnel are able to monitor the entire facility around the clock and improve their situational awareness without constantly glued to monitors.
Capabilities for shooting and features of artificial intelligence. The term "AI camera" refers to a feature that comes pre-installed on a camera and uses artificial intelligence to determine the subject and location of the shot and automatically adjusts the camera's settings to improve image quality.
Most of the time, all cameras have more advanced image processing capabilities than simple cameras, like the ability to automatically adjust exposure and white balance. This indicates that they can automatically enhance video and image quality.
AI is like computer vision in a way. An artificial intelligence camera is a type of computational photography. It involves processing data in real time to make decisions. The machine learns from its previous mistakes thanks to its intricate algorithms in its systems.
The Global AI Road Traffic 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 AI Road Traffic Cameras, which are based on AI and designed for mission-critical traffic management, accurately detect and notify of violations such as No-plate Vehicle Detection, Specific Lane Detection, Parking Violation Detection, Speeding Detection, Reverse Driving Detection, Black/White List Detection, and Vehicle Event Detection based on known vehicle features.
Milesight AI Road Traffic Cameras offer useful traffic flow statistics that can be used to improve traffic management capabilities even further. In the live view of the camera, the results of the vehicle counting based on the vehicle's type, brand, and various features can be easily seen, and the camera can also generate useful report insights to help improve decision-making.
Milesight AI Road Traffic Camera can link with any regular camera to capture evidence in addition to vehicle feature and plate recognition. Users are able to easily provide solid and convincing evidence by combining overview snapshots and LPR results with the regular camera's seamless trigger.
By searching for just a portion of the features of the target suspect vehicle, such as vehicle type and color, plate color, plate number, speed, direction, and so on, relevant videos can be found quickly with Milesight LPR Smart Search.
ensuring that intelligent AI road traffic monitoring and effective event investigations are carried out. Additionally, it allows for both manual and automatic export, making management by security personnel simpler.
Milesight provides a variety of options to guarantee the effective management of plate data and the adaptability of Milesight ANPR system deployment. The Milesight AI Road Traffic Camera's on-edge plate management for black/white lists enables rapid barrier control implementation.
Completely closed-loop traffic solutions can be created by combining it with Milesight's own back-ends, such as Milesight NVR, CMS, and Milesight VMS Enterprise. In addition, it supports Wiegand, TCP, HTTP, and other interfaces and protocols as well as a variety of CGI/APIs, which facilitates open integration by pushing all data to third-party VMS or platforms.
| 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 |
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