
FrontFace is a powerful on-premise digital signage & kiosk software product (not SaaS) that allows you to easily deploy flexible and very reliable interactive kiosk terminals, touchscreen frontends, as well as non-interactive public displays and digital signage applications, advertising or information displays, self-service kiosks, etc.
FrontFace can display any kind of media format, whether you want to display text, images, photos, PDFs, videos, news tickers or even entire web pages (HTML5).
But the best news is that you can use ANY Windows application that can print to create high-quality HD content for your display. Use PowerPoint, Word, Excel, etc. to create content for your playlists. Use the tools you are familiar with without having to invest in learning a new, complex design application!
In addition, FrontFace comes with a plugin interface that allows you to extend the application's functionality with optional plugins. This includes the integration of external calendars (e.g. Office 365 Exchange Online or ICS or Excel) or vertical applications such as an accident statistics board or a dashboard.
Content management is super easy with FrontFace. No programming are skills required.
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LogicalDOC empowers organizations all over the globe to take complete control of their document management. This premier document management system (DMS), which focuses on business process automation and quick content retrieval, allows teams to create, collaborate and manage large volumes of documents. It also stores valuable company data in one central repository. The system features include drag-and-drop document uploads, forms management, optical characters recognition (OCR), duplicate detection and barcode recognition, event logs, document archiving and integrated document workflow.
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FindFace
The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.
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Azure Face API
Incorporate facial recognition technology into your applications for an enhanced and secure user experience without the need for specialized machine learning knowledge. The system offers features such as face detection that identifies faces and their characteristics within images; individual identification that allows for matching against a private database of up to one million users; emotion recognition that assesses various facial expressions such as happiness, sadness, and fear; as well as the ability to recognize and cluster similar faces in photographs. You can identify faces based on a variety of attributes and integrate this functionality into your applications with just a single API call. The technology can operate seamlessly either in the cloud or on edge devices within containers. With a focus on enterprise-level security and privacy, it ensures the protection of both your data and the trained models. This platform enables the detection, identification, and analysis of faces in both images and video content, providing a robust foundation for a multitude of applications. Additionally, it supports the detection of multiple human faces along with their associated attributes in a single instance.
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