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STAND-ALONE DECISION-MAKING TRAFFIC LIGHTS
[Category : - OTHER- ELECTRICITY & LIGHTING- Telecommunications]
[Viewed 156 times]
Overview: The device of the invention (Smart Traffic Light) introduces a cutting-edge, wireless traffic management system designed to seamlessly upgrade existing traffic light infrastructure. This AI-powered solution adapts dynamically to varying traffic conditions, ensuring optimal flow and safety across urban intersections.
Key Features:
1. Intelligent Traffic Detection and Analysis: The device of the invention employs advanced AI technologies to detect, classify, and analyze traffic patterns in real-time. Each traffic light unit is equipped with the capability to monitor its immediate traffic, identifying both vehicle numbers and types. This information is crucial for making informed decisions regarding traffic light adjustments, catering specifically to the current traffic scenario—whether high or low density.
2. Distributed and Secure Wireless Communication: The system facilitates real-time, wireless communication between individual traffic light units. This allows for a coordinated decision-making process across the network, ensuring that traffic regulations are always synchronized with the actual on-ground traffic conditions. Additionally, the device of the invention emphasizes security with end-to-end encryption and operates independently without the need for internet connectivity.
3. Autonomous Operation: Designed as a fully autonomous system, the device of the invention does not rely on centralized control or internet connection. The embedded systems within the traffic light modules handle all data processing and decision-making, enabling a decentralized approach that reduces reliance on overarching traffic management infrastructures.
4. Easy Installation and Integration: The modular design of The device of the invention allows for easy integration into existing traffic lights by simply replacing one module in each unit. This plug-and-play functionality ensures that there is no need for extensive civil engineering works, making the installation process swift and cost-effective.
5. Environmental Impact and Cost Efficiency: By optimizing traffic flow and reducing average vehicle idle times, the device of the invention significantly cuts down on CO2 emissions and fuel consumption. This not only contributes to a greener environment but also translates into cost savings for city administrations and road users alike.
6. Ergonomic Design: The system's modules come equipped with integrated cameras, enhancing their capability to assess and manage traffic effectively without additional hardware. This streamlined design ensures minimal visual impact and easy maintenance
Financial informationType of Transaction: I am open to an outright sale of the patent or a licensing agreement with royalties. I am also open to exploring other forms of partnership if they align with the goals of both parties.
Market History: The invention has not been previously sold or marketed. It is a novel technology with significant potential for impact in the traffic management sector.
Market Potential: The invention addresses a critical need in urban traffic management, with potential applications in cities worldwide. Its ability to reduce traffic congestion, lower emissions, and enhance safety makes it highly attractive to city administrations and infrastructure companies.
Conditions for Sale: I am interested in ensuring that the buyer or licensee has the capacity to bring this technology to market effectively. Specific conditions, such as a minimum royalty rate or milestone payments, can be discussed during negotiations.
Associated Intellectual Property:
Patents: The Smart Traffic Light system has been granted a patent in South Africa and Morocco. Additionally, patent applications are pending in several other countries, including the United States, UAE, China, Canada, Turkey, Portugal and India.
Other IP: There are currently no trademarks, websites, or other forms of intellectual property associated with this invention.
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Page created at 2024-11-21 13:55:33, Patent Auction Time.