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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ZeroEyes
ZeroEyes is an advanced AI platform designed for the detection of weapons, enabling the identification of potential threats at a glance. Established by a group of former Navy SEALs, our goal is to spot weapons before any shots are fired, allowing first responders to react swiftly and ultimately put an end to mass shootings. By utilizing AI for weapon detection, we can pinpoint dangers before they escalate into violence, providing emergency personnel with crucial information. Collaboration with local 911 services and police departments further enhances our ability to avert perilous situations. With ZeroEyes in action, first responders obtain real-time information, empowering them to act immediately in the face of a threat. Tailored to meet diverse requirements, ZeroEyes seamlessly integrates with your current security cameras and building systems, adding an essential layer of security. The tragic impact of senseless violence has taken too many innocent lives, and at ZeroEyes, we are dedicated to supporting security professionals and law enforcement agencies. The sooner a potential threat is identified, the faster a response can be initiated, thus safeguarding communities and saving lives in the process. As we continue to innovate in this space, our commitment to enhancing public safety remains unwavering.
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Carmen Nano
Carmen® Nano is an innovative software module that converts any IP camera into a robust on-premise system for Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR). Tailored specifically for NVIDIA® Jetson™-based devices, it harnesses the power of deep learning to provide real-time, highly accurate vehicle identification. With the capability to recognize over 38,000 different plate types from more than 160 nations, Carmen® Nano guarantees worldwide applicability. Its versatile API facilitates easy integration into pre-existing systems, making it exceptionally suitable for various applications, including traffic monitoring, access control, and efficient parking management. Additionally, its user-friendly interface ensures that organizations can quickly adapt and implement this technology.
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VaxALPR
The cutting-edge Vaxtor LPR engine, initially designed for PC environments, is now seamlessly integrated into both Axis and Mobotix cameras, enabling instantaneous license plate recognition along with crucial meta-data collection. By employing embedded license plate recognition systems, organizations can significantly reduce network bandwidth usage and hardware expenses while enhancing the system's overall reliability and robustness. This solution is crafted to function effectively within real-world network environments, effectively eliminating single points of failure, and adopting an edge-based strategy enhances performance while lowering the total cost of ownership. VaxALPR features built-in black/white list capabilities directly within the camera, ensuring that access control measures and local alerts remain operational at all times. Furthermore, it provides additional meta-data such as direction of travel, country of origin, type of license plate, time and date of capture, GPS coordinates, and confidence levels, along with the option to integrate MMC and VClass for vehicle type classification, thereby empowering your edge-based traffic management systems. With these advanced features, users can expect not only improved efficiency but also a more comprehensive understanding of traffic patterns and vehicle movements.
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