FrontFace
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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Omnilert
Save lives by detecting potential threats early and responding quickly with visual gun detection. Our AI-powered Gun Detect software provides reliable, 24-hour monitoring of security cameras. This makes it easy to deploy an early gun detection solution. Our Emergency Communications and Automation Platform shares intelligence by automatically activating emergency response plans and safety system. We help you maximize every second and protect your people from danger, no matter what the threat is, from guns to severe storms. Protect your people, facilities, and operations from any threat you face today.
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Face++
Face⁺⁺ enables the detection and localization of human faces in images, providing high-accuracy bounding boxes for each identified face. Additionally, it offers the functionality to save metadata associated with each detected face for future reference. The system can assess the probability that two faces represent the same individual, delivering a confidence score along with thresholds for evaluating their similarity. By utilizing the Face⁺⁺ Detect API, users can identify faces in images and receive bounding boxes and tokens for each detected face, which can then be used with other APIs for additional processing. Furthermore, the Detect API can return facial landmarks and attributes for the five largest detected faces. All APIs are available at no cost, and users have the flexibility to transition to a paid service based on their business needs, utilizing options such as Pay As You Go or a QPS solution. Various SDK licensing options are offered for different devices, making integration straightforward. With Face⁺⁺, developers can seamlessly incorporate cutting-edge deep learning-based image recognition technologies into their applications through user-friendly and robust APIs and SDKs, enhancing their software capabilities significantly.
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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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