CCTV CCTV Video Analytics and Advanced Features 2

Question 1

What does 'people counting' analytics in CCTV measure?

Accepted Answer

The number of individuals entering or exiting a defined area or crossing a line

Answer

The number of active cameras in a system

Answer

The total number of motion events recorded per day

Answer

The density of pixels representing human forms in an image

Question 2

In video analytics, what is 'object classification'?

Accepted Answer

The ability to distinguish between different types of detected objects such as person, vehicle, or animal

Answer

Categorizing video files by recording date

Answer

Sorting alarms by priority level in a VMS

Answer

Encrypting video streams based on content sensitivity

Question 3

What is a 'heat map' generated by CCTV analytics used for?

Accepted Answer

Visualizing areas of high activity or movement frequency over time

Answer

Detecting fire or elevated temperature events in a scene

Answer

Mapping the infrared illumination coverage of a camera

Answer

Showing the geographic location of all cameras on a site map

Question 4

What advantage does edge-based video analytics (processing on the camera) offer compared to server-based analytics?

Accepted Answer

Reduced bandwidth and server load since processing occurs locally at the camera

Answer

Higher accuracy due to dedicated server processing power

Answer

Simpler software licensing requirements at the NVR level

Answer

Longer video retention due to lower storage requirements

Question 5

What is 'facial recognition' in a CCTV analytics system designed to do?

Accepted Answer

Match captured faces against a database to identify or flag specific individuals

Answer

Measure the distance between camera and subject

Answer

Detect when subjects look directly at a camera

Answer

Count the number of unique individuals in a scene over time

Question 6

Which of the following is a common cause of false alarms in motion-triggered CCTV analytics?

Accepted Answer

Environmental motion such as tree branches, shadows, or lighting changes

Answer

Cameras set to record at too high a resolution

Answer

Insufficient IR illumination range at night

Answer

Using H.265 compression instead of H.264