Video analytics is the automated analysis of video footage to identify useful information without requiring an operator to watch every frame. Video analytics software examines live or recorded video and looks for objects, movement, patterns, or events that match defined criteria.
Automated video analysis is a broad category. It can range from detecting motion in a scene to identifying and tracking specific types of objects. In defense and surveillance systems, the goal is to help operators manage large volumes of video and focus attention on activity that may require review.
Core Video Analytics Techniques
Object detection is one of the most common video analytics techniques. The system analyzes video frames to locate specific objects, such as people or vehicles. Once an object is detected, additional processing can classify it or track its movement across successive frames.
Pattern recognition can be used to identify recurring visual characteristics or activity. Threat identification builds on these capabilities by applying defined rules or trained models to highlight relevant activities. The exact functions depend on the cameras, analytics software, processing hardware, and models used in the system.
Video analytics does not automatically determine the meaning of every event. Instead, it processes visual data and provides information that can help an operator or another system assess what is happening.
Why Automation Matters at Surveillance Scale
A surveillance system may produce continuous feeds from many cameras or imaging sensors. Watching every stream at all times is tedious, especially when most footage does not contain any activity that requires action. Video analytics can continuously examine these feeds and flag selected events or objects for closer attention.
This becomes more important as the number of sensors increases. Automated video analysis can help filter large volumes of imagery, while metadata created by the analytics can make relevant footage easier to locate and review later.
Processing can take place centrally or close to the sensor. Edge-based analytics can reduce the amount of video that needs to be sent elsewhere for analysis and can shorten the time between capture and an analytics result.
How Maris-Tech Applies Video Analytics
Maris-Tech develops compact video-processing and edge-computing platforms for defense, intelligence gathering, surveillance, drones, and unmanned systems. Selected platforms combine video encoding, streaming, recording, and AI processing, allowing analytics to run as close as possible to the cameras generating the images.
This approach can support functions such as object detection, classification, and tracking while keeping the video-processing hardware within the size, weight, power, and bandwidth limits of the host platform. It also allows video analytics software to form part of a wider real-time video system rather than requiring a separate processing environment.
Video analytics is the foundational term for this group of technologies. More specific approaches, including intelligent video analysis and AI video analysis, build on this basic concept by focusing more closely on AI-driven interpretation or how trained models analyze the imagery.
Related Maris-Tech Resources
Video Content Analysis | Intelligent Video Analysis | Intelligent Video Analytics Solutions | Intelligence Gathering
Frequently Asked Questions
What is video analytics?
Video analytics is the automated analysis of live or recorded video to detect objects, movement, patterns, or other defined activity without requiring a person to watch every frame.
What can video analytics detect automatically?
Depending on the system, video analytics can detect and classify objects, identify movement or patterns, track objects across a scene, and flag defined events for review.
How does video analytics improve surveillance operations?
It helps operators manage large volumes of video by continuously analyzing feeds and drawing attention to selected activity. It can also create metadata that makes recorded footage easier to search and review.