gtechna
gtechna’s smart parking management and enforcement solution is trusted by leading cities worldwide. Our cloud-based system empowers municipalities, transportation agencies, and universities with cutting-edge applications that increase parking revenue, cut operational costs, and improve the driver experience.
By choosing gtechna for your parking management and enforcement needs, you're partnering with an industry leader known for constant innovation. Cities like Washington, D.C., Boston, Pittsburgh, Toronto, and Vancouver have already transformed their parking infrastructure with gtechna—now it's your turn to experience the future of parking.
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Geotab
Geotab stands out as a prominent player in the telematics industry, offering an extensive platform designed for fleet management that serves enterprises of various scales. This platform facilitates the gathering, storage, processing, and analysis of vehicle-related data, converting it into practical insights aimed at improving the productivity, safety, and efficiency of fleets. The Geotab Marketplace is notable for its wide array of integrated third-party solutions, allowing businesses to streamline their operations by merging vehicle data with other sources, thus enhancing their telematics capabilities and operational intelligence. Supported by a highly skilled team of data scientists and AI specialists, Geotab is harnessing the potential of data to delve into both real-time and predictive analytics, addressing current and forthcoming challenges in the industry. This innovative approach positions Geotab as a forward-thinking leader in the rapidly evolving telematics landscape.
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Rank One Computing (ROC)
Experience unparalleled speed, precision, and adaptability with the only automatic license plate recognition system that expands to meet your requirements, entirely developed by Rank One Computing. Our advanced ALPR software can effortlessly identify and read license plates from images or video footage taken on any device, effectively handling difficult situations such as poor lighting, rapid motion, or skewed angles. Benefit from extensive search capabilities through a system that can provide approximate matches for license plates, even when the input is flawed or only partially captured. Following an incident, easily sift through surveillance recordings to locate a known vehicle using its license plate. From law enforcement to commercial security and federal investigations, our license plate recognition technology is relied upon by industry leaders both nationally and globally, ensuring safety and efficiency in vehicle monitoring. This innovative tool not only enhances security measures but also streamlines investigative processes for various applications.
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Safe Fleet FOCUS
Utilize automated license plate recognition to track down criminals effectively. The Safe Fleet® FOCUS™ H2, equipped with an ALPR system, serves as a robust instrument for law enforcement, facilitating the identification of vehicles and individuals linked to criminal activities. By creating and managing hotlists of warrants, crimes, and suspects, this system enhances the ability to spot offenders, thereby increasing the number of eyes on the ground. Officers can improve their efficiency and safety by automatically analyzing thousands of license plates, capturing images at high speeds and from sharp angles across multiple lanes of traffic. The data collected can be shared seamlessly with pertinent local and national law enforcement agencies, ensuring a coordinated effort in crime prevention. Whether through fixed installations, portable units, or mobile setups, the system can be mounted on front grilles, lightbars, or used at special events, making it versatile for different scenarios. Additionally, it ensures that officers are alerted in real-time about suspect vehicles, utilizing the latest information from APBs, BOLOs, and Amber alerts, thus maximizing the chances of apprehending criminals swiftly. With this advanced technology, law enforcement can significantly enhance their operational capabilities and response times.
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