Artificial Intelligence Intrusion Detection

Industry’s First AI Intrusion Detection

What is AI Intrusion Detection?

IronYun AI Intrusion Detection appliance is the first deep-learning-based Network Video Recorder (NVR) built for Intrusion Detection and Virtual-Fence purposes in video analytics. AI Intrusion Detection has built-in artificial intelligence software and high-performance NVIDIA GPU hardware for fast, real-time, 3D alert and video analytics without the need of special cameras.

AI Intrusion Detection enables you to specify regions of interest in the video frame, where you can receive alerts in case of unwanted activities or simply study the activity patterns for better efficiency in your business. False alarms are no longer a problem with the smart object recognition in IronYun AI Intrusion Detection.

3D Smart Detection in Multiple Zones per Frame

Secured, On-Premise Private Cloud Architecture

AI Intrusion Detection is intended to be used with existing NVRs or IP cameras. AI Intrusion Detection can also be deployed as a stand alone unit. AI Intrusion Detection also has standard VMS software preloaded for easy video viewing management features.

AI Intrusion Detection can perform AI-based object detection and recognition directly from IP camera RTSP streams. AI Intrusion Detection can also process standard RTSP H.264 video stream files from any source. The extracted image meta data will be stored in AI Intrusion Detection for fast retrieval and viewing.

ainvr-vf-config

AI Intrusion Detection will analyze live real-time video streams or uploaded video files to detect and recognize vehicles and persons.

  • Save Time:
    Save user time to quickly identify objects of interest in specific regions. Instead of hours spent reviewing video, IronYun Intrusion Detection offers high performance even in low-light condition and low false-positive rate (3D detection, smart object identification).
  • Diverse applications:
    The applications of AI Intrusion Detection include but are not limited to security purposes: intrusion detection, parking/no parking zone, loitering detection in certain areas, etc. In addition, you can set up Intrusion Detection to quickly alert when there is a falling/slipping accident and to identify high-traffic areas in your store. AI Intrusion Detection can be used in conjunction with AI Search™ to increase utility and efficiency.
  • Save Storage Cost:
    For long-term (> 30 days) video files, save only the meta data. Can achieve 100 to 1 reduction in long-term storage costs.
  • Simple and Easy to Use:
    Plug & Play with existing IP-based NVR or Storage Servers. Standard RTSP stream input.
  • IronYun AI Intrusion Detection is the industry’s first Artificial Intelligence Virtual Fence solution for enterprise applications.
  • Our deep learning video analytics is not based on computer programming. Instead, it is trained based on Artificial Intelligence neural networks, reducing significant time and cost.
  • The AI object detection engine is based on natural language input description of people, faces, cars, buses, motorbikes, colors and time and many other types of objects. The list of identifiable objects is continuously added as the deep learning engine is trained over time.
  • High-performance GPU (Graphics Processor Unit) with thousands of GPU core for high-speed video search and video mining.
  • Significantly increase the productivity and time savings compared to manually inspecting and visually identifying an object of interest.
  • Seamlessly interfaces to QNAP and other vendor’s NVRs.
IronYun Cityeyes Hardware Specification

AI Intrusion Detection has several architectures for fewer-than-20-camera deployments to large-scale city-wide networks of thousands of cameras. The VSA-1xx series are stand alone, all-in-one appliances that are ideal for small-scale video infrastructure. The VSA-5xx series are rack-mounted versions for data-center-scale systems.

IronYun AI appliance specification
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