Video Analytics & AI Surveillance Flashcards
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Read the first 7 Video Analytics & AI Surveillance flashcards as text
What is the primary function of video analytics in a surveillance system?
Answer: Automatically analyzing video content to detect events or behaviors
Video analytics uses algorithms to automatically analyze video content and detect specific events, behaviors, or objects without continuous human monitoring.
Which video analytic feature is most useful for detecting unauthorized entry through a restricted perimeter?
Answer: Virtual tripwire / line crossing detection
Virtual tripwire or line crossing detection triggers an alert when an object crosses a defined virtual line, making it ideal for perimeter security.
What does 'false positive rate' mean in the context of video analytics?
Answer: The frequency of alerts triggered when no actual threat exists
A false positive occurs when the analytics system triggers an alert for something that is not an actual threat or event of interest.
Which of the following is an example of object classification in video analytics?
Answer: Distinguishing between a person, vehicle, and animal in a scene
Object classification identifies and categorizes detected objects (e.g., person, vehicle, animal) to reduce false alarms and improve alert accuracy.
What is 'loitering detection' in video analytics designed to identify?
Answer: Individuals remaining in an area longer than a set time
Loitering detection identifies when a person or object remains within a defined zone longer than a specified time threshold, which may indicate suspicious behavior.
In AI-based surveillance, what is a 'region of interest' (ROI)?
Answer: A defined area within a camera's field of view where analytics are applied
A region of interest is a specific area within the camera's view where video analytics are focused, reducing processing load and false alarms from irrelevant areas.
What is the main advantage of edge-based video analytics versus server-based analytics?
Answer: Edge analytics processes video on the camera itself, reducing network load
Edge-based analytics processes video directly on the camera, significantly reducing the bandwidth and network resources needed to transmit raw video to a central server.