CST Video Analytics & AI Surveillance 1 — Questions and Answers
Question 1: What is the primary function of video analytics in a surveillance system?
- Compressing video for storage
- Automatically analyzing video content to detect events or behaviors (Correct answer)
- Enhancing camera resolution
- Managing user access permissions
Correct 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.
Question 2: Which video analytic feature is most useful for detecting unauthorized entry through a restricted perimeter?
- Motion blur detection
- Virtual tripwire / line crossing detection (Correct answer)
- Color histogram analysis
- Frame rate monitoring
Correct 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.
Question 3: What does 'false positive rate' mean in the context of video analytics?
- The percentage of events detected but not recorded
- The number of times analytics fail to detect a real event
- The frequency of alerts triggered when no actual threat exists (Correct answer)
- The delay between an event and its detection
Correct 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.
Question 4: Which of the following is an example of object classification in video analytics?
- Measuring pixel brightness levels
- Distinguishing between a person, vehicle, and animal in a scene (Correct answer)
- Adjusting camera focus automatically
- Calculating video bitrate
Correct 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.
Question 5: What is 'loitering detection' in video analytics designed to identify?
- Objects moving faster than a defined speed threshold
- Individuals remaining in an area longer than a set time (Correct answer)
- Cameras that have gone offline
- Objects left unattended in a scene
Correct 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.
Question 6: In AI-based surveillance, what is a 'region of interest' (ROI)?
- A camera with the highest resolution
- A defined area within a camera's field of view where analytics are applied (Correct answer)
- The storage location for critical video footage
- A network segment reserved for surveillance traffic
Correct 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.
Question 7: What is the main advantage of edge-based video analytics versus server-based analytics?
- Edge analytics requires more bandwidth
- Edge analytics processes video on the camera itself, reducing network load (Correct answer)
- Server-based analytics is faster than edge analytics
- Edge analytics only works with analog cameras
Correct 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.
What is the primary function of video analytics in a surveillance system?