DeepAlert’s real-time alerting solution leverages deep learning artificial intelligence (AI) technology to perform video analytics on a continuous basis. The system analyses what is deemed unusual in a scene and delivers relevant alerting that is associated with predefined preferences. The system constantly learns, increases in accuracy and builds better models based on the inputs it receives.
The ability to sift through ‘noise’ and offer alerts tailored to an installation’s specific requirements makes this a great choice for off-site monitoring. User-defined exclusion zones can be added to ensure complete accuracy and minimised false alarms. The cloud-based infrastructure provides a simple drop-in solution that works with almost any modern camera system.
DeepAlert is accurate and useful for a wide range of applications. The cloud-based infrastructure provides a simple drop-in solution that works with almost any modern camera system. More than just a deep learning platform, DeepAlert is a fully fledged operational solution, from easily installable edge devices with sophisticated rejection filtering, to rich end-user interfaces and advanced mining tools.
DeepAlert can be applied to many domains and is carefully architected to take advantage of the latest computing advances while recognising real-world constraints (cost, power, bandwidth, etc.).
The heart of the system is a deep learning analytics engine which is located in the cloud, but machine learning is applied across the system. DeepAlert Hub technology can be deployed at the edge in order to manage the video streams and perform edge analytics to reduce Internet bandwidth requirements. Alternatively, cameras at the edge can be configured to communicate with DeepAlert directly.
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