CSP Video Analytics & AI Monitoring 3

Question 1

In the context of CSP surveillance, what does 'scene calibration' enable in video analytics?

Accepted Answer

Converting pixel measurements to real-world dimensions

Answer

Scene calibration maps pixels to real-world units (e.g., meters), allowing analytics to accurately measure object size, speed, and distance.

Question 2

Which behavioral analytics application would BEST help detect a retail shoplifting event in progress?

Accepted Answer

Object removal detection

Answer

Object removal detection identifies when tagged or placed merchandise disappears from a defined area, alerting staff to potential theft.

Question 3

What is 'deep learning-based anomaly detection' in surveillance primarily designed to do?

Accepted Answer

Identify unusual patterns deviating from learned normal behavior

Answer

Deep learning anomaly detection trains on normal activity patterns and flags statistically unusual events that may indicate security threats.

Question 4

A surveillance operator notices AI analytics flagging shadows as intruders frequently. What is the BEST corrective action?

Accepted Answer

Retrain the model with shadow examples labeled as non-threats

Answer

Retraining the model with properly labeled shadow examples as negative (non-threat) samples reduces false positives caused by shadows.

Question 5

Which metric best evaluates overall video analytics performance when both false positives and false negatives must be minimized?

Accepted Answer

F1 Score

Answer

The F1 Score is the harmonic mean of precision and recall, providing a balanced measure when both types of errors are operationally important.

(CSP) Certified Surveillance Professional Practice Test