Analytics example of drones being tracked in the sky.

AI Analytics & Image Processing for Military & Surveillance

Infiniti has partnered with leaders in the AI and video analytics markets to offer high performance solutions for video surveillance, radar processing, satellite, and other markets.

For video surveillance applications AI and video analytics offer many advantages over standard camera systems. By leveraging the power of AI, users can increase the efficiency of human operators by reducing the time spent verifying false alarms and allowing the focus to be on reacting to relevant events.

Long fenced border between countries.

Perimeter Intrusion Detection

Using a radar or EO/IR camera, a virtual perimeter can be created on a radar or camera’s view that will trigger when an trespasser crosses the virtual line. This can be performed in real time to assist operators in detecting intrusions and threats which can than be identified and mitigated with our long-range PTZ cameras.

Gun detection example

Gun/Weapon Detection

By training an AI using a large data set, cameras can be effectively used to quickly and effectively detect guns and other weapons, and then alert guards or law enforcement before a situation escalates.

Vehicle classification example

Human/Vehicle/Object Classification

AI can effectively monitor a scene and create events when a human, vehicle or other object is detected. This can be further enhanced by adding color filters and other parameters to the rule. This can also be performed by an operator to narrow down large amounts of archived video to only relevant events.

People counting example

People/Vehicle Counting

Analytics rules can be set to count the number of people, vehicles, or other objects entering or exiting a defined region. This can be useful for tracking vehicle traffic on highways, people entering/exiting in retail environments, and other commercial and security applications.

Fire detection example

Automatic Fire Detection

By analyzing video streams, fires can be effectively detected based on the presence of flames or smoke, and the system can quickly notify operators and emergency personnel.

Facial recognition example

Facial ID Recognition

AI can automatically filter and compare faces in video streams with an existing database to provide real-time alerts when a person that is on a blacklist is detected, or a VIP has entered the premises of a business. Alternatively, an operator can upload a picture to perform an automatic search through archived video to find matches.

License plate detection example

LPR (License Plate Recognition)

Using OCR (Optical Character Recognition), surveillance systems can be used to compare captured license plates with an existing database. Whitelists and blacklists can be created to block entry in high security applications or notify operators if a vehicle is present on a list.

Outside of electro-optic applications, our partners’ AI can be used with many other datasets to find patterns and trends that would not be easily identified otherwise. As an example, one of our partners has applied this AI to satellite data, and in minutes can effectively review and track the number of cars in a parking lot over the span of a day. In other surveillance applications with satellites this same technology can be used to analyze a wide area and compare data from previous recordings to find other anomalies, such as disturbed soil that could indicate the presence of improvised explosive devices (IEDs).

These examples represent only a fraction of the numerous applications for AI video analytics. AI can be trained in a matter of weeks to work with new and unique data sets, and we welcome the opportunity to work in new markets to create solutions.

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