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Automatic License Plate Recognition

British Columbia Cops Go Robot

— February 14, 2007 — World
A Mobile Automatic Licence Plate Recognition System is now offered in British Columbia. It can capture up to 3,000 license plates per hour. It consists of three cameras placed outside of the police car, one from the left which capture license plates of oncoming vehicles, one from the right which is used to capture license plates of cars in the right-hand lane also cars parked on the right side of the road and another from the rear right-angle which captures the license plates of parked cars in a parking lot.
Trend Themes
1. Mobile Automatic License Plate Recognition - The trend of using mobile cameras for license plate recognition systems is creating new applications in security, law enforcement, and parking management.
2. High-speed License Plate Recognition - There is a growing need for high-speed license plate recognition systems, which can capture thousands of plates per hour, opening up opportunities in transportation, logistics, and toll collection.
3. AI-powered License Plate Recognition - License plate recognition systems that use artificial intelligence and machine learning algorithms have the potential to disrupt the automotive industry, creating new opportunities in autonomous vehicles, ride-sharing, and insurance.
Industry Implications
1. Law Enforcement - The adoption of mobile automatic license plate recognition systems represents a disruptive innovation in law enforcement, enabling faster response times and real-time monitoring of criminal activity.
2. Parking Management - License plate recognition systems can transform parking management, enabling automated payment, reducing congestion and improving the customer experience, opening up new opportunities in smart cities.
3. Logistics and Transportation - High-speed license plate recognition systems can transform logistics and transportation, enabling faster and more accurate tracking of vehicles, trailers and containers, improving efficiency and reducing theft.
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