To help end-users avoid false alarms and save time in daily security operations, IronYun provides AI Intrusion Detection based on AI deep learning video analytics technology. AI Intrusion Detection can detect and identify intrusion events based on object types (such as vehicles, people, and animals), colors, and quantity, instead of using rule-based algorithms or motion sensors like legacy intrusion detection systems. Thus, IronYun AI Intrusion Detection decreases the false alarms by at least 99%.
How it works
Legacy, non-AI intrusion detection systems detect objects based on size and location, but they cannot distinguish the types of objects. IronYun AI Intrusion Detection has a built-in, pre-trained AI model, product of 400+ man years of data learning on hundreds of thousands of videos, to distinguish over 100 types of objects. Hence, it can recognize an object of interest, e.g., a person, from irrelevant objects in the regions of interest, such as cars, dogs, shadows, tree branches, rain or snow.
The object recognition is over 99% accurate for both indoors and outdoors conditions, regardless of the size of the object of interest, e.g., a person 250 ft (~75 m) away will correctly trigger an alert in real time, whereas a spider crawling over the camera will not.
advantages to the end-users
With IronYun AI Intrusion Detection, in addition to the high performance to avoid wasting time and resources with false alarms, the users can enjoy three major benefits:
- Plug-and-play: AI Intrusion Detection software is hosted in AI NVR appliance to provide a complete, on-premise solution for the end-user, ready to deploy as soon as it is connected to the local private network. No calibration, no download, no complicated software installation. The setup takes less than 1 hour.
- Easy integration: AI NVR is compatible with all ONVIF IP cameras and many VMSs, so the end-user can easily add AI video analytics to their existing infrastructure, minimizing cost and time to deploy the AI component in the system.
- All-in-one solution platform: in addition to AI Intrusion Detection, IronYun AI NVR has over 10 other video analytics functions all in the same platform and appliance, including License Plate Recognition (LPR), Face Recognition, People and Vehicle Counting, Wrong-Direction Detection, Weapon Detection, etc. Thus, as the user continues to expand their facility and demands for multiple aspects in security arise, the user can easily add new AI functions to their existing infrastructure, and use AI Intrusion Detection in tandem with Face Recognition, LPR, or any other AI functions to enhance the efficiency and safety of their organization.
Example use cases
IronYun AI Intrusion Detection has been deployed in several school and corporate campuses, manufacturing facilities, government facilities, and smart city projects. Some use cases are:
- Perimeter protection: provide real-time alerts for restricted-access areas, e.g., detect people climbing the fence or entering staff-only rooms after work hours
- Protection against theft and vandalism
- Traffic management: provide real-time alerts to police when a vehicle enters a restricted area, e.g., motorcycle or bicycle on the sidewalk, car stopping in the bus lane
- Animal protection and prevention of vehicle-animal collisions: integrate with light signal to warn oncoming traffic to slow down as soon as an animal appears near the highway or is about to cross the highway
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