Find and compare the best Artificial Intelligence software for viisights in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for viisights on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Qognify
Qognify
Qognify empowers organizations to reduce the effects of incidents through its cutting-edge video management software and enterprise incident management offerings. With widespread implementations across banks, utility providers, airports, seaports, urban centers, and transport authorities, Qognify plays a critical role in safeguarding individuals and assets globally. Emphasizing the importance of operational and physical security, Qognify understands that ensuring safety is invaluable. Their solutions facilitate the capture, analysis, and utilization of big data to foresee, handle, and alleviate security and safety challenges, ensuring business continuity while enhancing operational efficiency. By delivering crucial insights, Qognify's products enable businesses and security-focused entities to make informed decisions swiftly by integrating structured and unstructured data from diverse sensors and sources, identifying anomalies, and tracking emerging trends. This comprehensive approach allows organizations to stay one step ahead in their security efforts. -
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Genetec AutoVu
Genetec
The AutoVu™ automatic license plate recognition (ALPR) system streamlines the process of reading and identifying license plates, thereby assisting law enforcement as well as municipal and commercial entities in tracking vehicles of interest and enforcing parking regulations. This system is engineered for both stationary and mobile setups, making it suitable for a diverse range of uses across various organizations, including law enforcement and municipal agencies. Whether managing parking, securing critical facilities, or ensuring the safety of the public, AutoVu provides valuable support to enhance operational efficiency. By capturing a larger number of license plates, it ensures that no vehicle of concern goes unnoticed. Additionally, when decisive actions are necessary, the software's user-friendly interface enables operators to concentrate on their responsibilities rather than sifting through data. Rain or shine, day or night, whether in a parking area or on a busy highway, AutoVu consistently delivers precise readings, maximizing the effectiveness of ALPR in your operations while adapting to different environments and conditions. This versatility makes it an essential tool for modern vehicle management strategies. -
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NVIDIA DRIVE
NVIDIA
Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.
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