CSP Video Analytics & AI Monitoring 2

Question 1

Which video analytics technique is most effective for detecting loitering in a defined zone?

Accepted Answer

Dwell-time analysis

Answer

Dwell-time analysis tracks how long an object remains within a defined region of interest and triggers alerts when the threshold is exceeded.

Question 2

In AI-based video surveillance, a high false-positive rate primarily indicates which issue?

Accepted Answer

Poor model precision

Answer

A high false-positive rate reflects low precision, meaning the model incorrectly flags non-events as security incidents too often.

Question 3

What is the primary purpose of a 'virtual tripwire' in video analytics?

Accepted Answer

Triggering alerts when objects cross a defined line

Answer

A virtual tripwire is a configurable line in the video frame that triggers an alert whenever an object crosses it in a specified direction.

Question 4

Which AI model architecture is most commonly used for real-time object detection in surveillance systems?

Accepted Answer

Convolutional Neural Network (CNN)

Answer

CNNs excel at image feature extraction and are the foundation of most real-time object detection frameworks like YOLO and SSD used in surveillance.

Question 5

When deploying edge-based video analytics, what is the primary advantage over cloud-only processing?

Accepted Answer

Reduced latency and bandwidth consumption

Answer

Edge processing analyzes video locally on the device, reducing the need to transmit large video streams to the cloud and enabling near-real-time alerts.

(CSP) Certified Surveillance Professional Practice Test

(CSP) Certified Surveillance Professional Practice Test

CSP Video Analytics & AI Monitoring 2