CST Video Analytics & AI Surveillance 2 — Questions and Answers
Question 1: Which AI surveillance capability uses biometric data to identify individuals from camera footage?
- Motion heatmapping
- Facial recognition (Correct answer)
- License plate reading
- Crowd density estimation
Correct answer: Facial recognition
Facial recognition analyzes biometric facial features from video footage to identify or verify individuals against a database.
Question 2: What is Automatic License Plate Recognition (ALPR) primarily used for in surveillance?
- Counting vehicles passing through a gate
- Capturing and reading vehicle license plate numbers for identification (Correct answer)
- Monitoring parking lot occupancy
- Detecting speeding vehicles via radar
Correct answer: Capturing and reading vehicle license plate numbers for identification
ALPR systems use optical character recognition to capture and read license plate numbers, enabling vehicle tracking, access control, and law enforcement support.
Question 3: What does 'crowd density analysis' in video analytics help security personnel determine?
- The average age of individuals in a crowd
- The number and distribution of people in an area to identify overcrowding (Correct answer)
- The direction individuals are facing
- The noise level in a monitored space
Correct answer: The number and distribution of people in an area to identify overcrowding
Crowd density analysis estimates the number of people in a given area and their distribution, helping identify dangerous overcrowding conditions in real time.
Question 4: When configuring video analytics for outdoor surveillance, which environmental factor most commonly causes false positives?
- Camera mounting height
- Moving trees, shadows, and lighting changes (Correct answer)
- Cable routing
- Recording frame rate
Correct answer: Moving trees, shadows, and lighting changes
Outdoor environments with moving foliage, shifting shadows, and fluctuating lighting conditions frequently trigger false positives in motion-based video analytics.
Question 5: What is 'object left behind' (abandoned object) detection used for in security analytics?
- Identifying objects that are moving too quickly through a scene
- Alerting when an unattended item remains stationary in a monitored area (Correct answer)
- Detecting when a camera is obstructed
- Counting items on a retail shelf
Correct answer: Alerting when an unattended item remains stationary in a monitored area
Abandoned object detection identifies when an item has been left in a scene for longer than a defined period, a common indicator of a potential security threat.
Question 6: Which video analytic feature would best help a retail store understand customer traffic flow patterns?
- License plate recognition
- Heat mapping and people counting analytics (Correct answer)
- Perimeter intrusion detection
- Audio anomaly detection
Correct answer: Heat mapping and people counting analytics
Heat mapping and people counting analytics track movement patterns and visitor counts, providing insight into customer behavior and traffic flow within a retail environment.
Question 7: In the context of AI surveillance, what does 'deep learning' contribute to video analytics?
- Longer video retention times
- Improved object detection accuracy through training on large datasets (Correct answer)
- Faster video compression
- Automatic camera firmware updates
Correct answer: Improved object detection accuracy through training on large datasets
Deep learning algorithms, trained on large image datasets, significantly improve the accuracy of object detection, classification, and behavior recognition in video analytics.
CST Video Analytics & AI Surveillance 2
Which AI surveillance capability uses biometric data to identify individuals from camera footage?