CCTV CCTV Video Analytics and Advanced Features 2 — Questions and Answers
Question 1: What does 'people counting' analytics in CCTV measure?
- The number of active cameras in a system
- The number of individuals entering or exiting a defined area or crossing a line (Correct answer)
- The total number of motion events recorded per day
- The density of pixels representing human forms in an image
Correct answer: The number of individuals entering or exiting a defined area or crossing a line
People counting analytics uses video processing to accurately count individuals entering or exiting a space, useful for occupancy management and retail analytics.
Question 2: In video analytics, what is 'object classification'?
- Categorizing video files by recording date
- The ability to distinguish between different types of detected objects such as person, vehicle, or animal (Correct answer)
- Sorting alarms by priority level in a VMS
- Encrypting video streams based on content sensitivity
Correct answer: The ability to distinguish between different types of detected objects such as person, vehicle, or animal
Object classification uses machine learning to identify and label detected objects as specific categories (person, vehicle, bicycle, etc.) to reduce false alarms from non-relevant motion.
Question 3: What is a 'heat map' generated by CCTV analytics used for?
- Detecting fire or elevated temperature events in a scene
- Visualizing areas of high activity or movement frequency over time (Correct answer)
- Mapping the infrared illumination coverage of a camera
- Showing the geographic location of all cameras on a site map
Correct answer: Visualizing areas of high activity or movement frequency over time
Analytics heat maps use color overlays on the camera image to show which areas of the scene have experienced the most activity over a defined time period.
Question 4: What advantage does edge-based video analytics (processing on the camera) offer compared to server-based analytics?
- Higher accuracy due to dedicated server processing power
- Reduced bandwidth and server load since processing occurs locally at the camera (Correct answer)
- Simpler software licensing requirements at the NVR level
- Longer video retention due to lower storage requirements
Correct answer: Reduced bandwidth and server load since processing occurs locally at the camera
Edge analytics performs video processing inside the camera itself, sending only metadata or alerts to the server, which significantly reduces network bandwidth usage.
Question 5: What is 'facial recognition' in a CCTV analytics system designed to do?
- Measure the distance between camera and subject
- Match captured faces against a database to identify or flag specific individuals (Correct answer)
- Detect when subjects look directly at a camera
- Count the number of unique individuals in a scene over time
Correct answer: Match captured faces against a database to identify or flag specific individuals
Facial recognition analytics extracts biometric facial features from video frames and compares them against an enrolled database to identify or flag persons of interest.
Question 6: Which of the following is a common cause of false alarms in motion-triggered CCTV analytics?
- Cameras set to record at too high a resolution
- Environmental motion such as tree branches, shadows, or lighting changes (Correct answer)
- Insufficient IR illumination range at night
- Using H.265 compression instead of H.264
Correct answer: Environmental motion such as tree branches, shadows, or lighting changes
Environmental factors like moving vegetation, cloud shadows, headlight sweeps, and rapid lighting changes can trigger motion detection algorithms inappropriately.
CCTV CCTV Video Analytics and Advanced Features 2
What does 'people counting' analytics in CCTV measure?