Intelligent video surveillance combines cameras and video infrastructure with automated processing that can help detect, classify, track, or flag activity in the scene. Traditional CCTV primarily captures and displays video for a person to watch or review. An intelligent system adds software or AI-based analysis so the video can be evaluated as it is generated.
This is especially useful in environments with many cameras or long periods of continuous monitoring. Rather than depending on an operator to watch every feed at all times, the system can identify events or objects that meet defined criteria and direct attention to them.
How AI Changes Video Monitoring
AI video surveillance applies trained models to video frames to identify relevant visual information. Depending on the application, this may include detecting people, vehicles, drones, movement, or other defined objects and maintaining a track as they move.
Analysis can take place centrally or at the edge. Edge processing places computing capability close to the cameras, which can reduce the amount of raw video that must be transmitted elsewhere for analysis. It can also shorten the time between image capture and an analytics result, which is an important consideration in real-time surveillance.
Markets for Intelligent Video Surveillance
Smart surveillance systems are used across defense, homeland security, public safety, border and perimeter monitoring, critical infrastructure, and other security applications. Requirements vary widely between these environments. A fixed installation may operate continuously from permanent power and networking, while a vehicle or unmanned platform has tighter limits on space, power, and bandwidth.
The sensor configuration also depends on the mission. Visible-light and thermal cameras can provide different information, and several sensors may be used to provide Multi-Sensor Coverage of the monitored area.
Maris-Tech’s Approach
Maris-Tech develops compact video and edge-computing systems for intelligence gathering, surveillance, and situational awareness. Its platforms can process multiple video inputs and support encoding, streaming, recording, and AI analysis close to the source.
Bringing these functions together is useful on platforms where adding separate processing equipment would increase size, weight, power consumption, or integration complexity. The resulting system can provide operators with live video while also supporting automated analysis of the imagery.
Intelligent surveillance also changes how video can be handled after an event. Alongside live monitoring, recorded footage and associated metadata can make it easier to locate relevant sequences for review. The usefulness of these functions depends on the analytics model, camera placement, image quality, and the conditions under which the system is operating.
Related Maris-Tech Resources
Intelligent Video Analytics Solutions | Threat Detection | Military Surveillance
Frequently Asked Questions
What is intelligent video surveillance?
It is a surveillance approach that combines video capture with automated software or AI analysis to help detect, classify, track, or flag relevant activity.
How is AI used in modern video surveillance?
AI models analyze video frames for defined objects or events and can help identify and track activity that may require an operator’s attention.
What markets use intelligent video surveillance systems?
They are used in defense, homeland security, public safety, perimeter and border monitoring, critical infrastructure, and other security applications.