Video Management

Managing multiple network cameras on LAN/WAN in an intelligent way provides the real scalability and flexibility for any video surveillance deployment. MSP offers Video Management Software / Video Management System which can virtually work with any IP Camera. It is capable of handling few to unlimited cameras. MSP has in built open framework of codecs and protocols that supports all industry standard cameras (inegrated with maximum number of different camera makes and models including ONVIF).

Cameras added in MSP Video Management Software can be viewed on latest mobile phones and devices (Android and iPhone/iPad/iOS) using mobile app.

In addition, MSP Video Management software is not only monitoring software but performs other functions for example Video Analytics, Command and Control, Third party device or application integration, Incident Management.

Analytics Software

Video analytics is a technology that processes a digital video signal using a special algorithm to perform a security-related function. There are three common types of video analytics:

  • Fixed algorithm analytics
  • Artificial intelligence learning algorithm
  • Facial Recognition systems

There are numerous video analytic features developed that can track various behaviors— from recognizing an abandoned briefcase or duffel bag to determining when someone is loitering in a specified zone. The analytic capabilities offered today are limited only by the creativity of the user and the need presented; examples include:

Directional Motion – when motion is detected in a specific direction, an alarm is triggered. Users have wide flexibility in defining areas of interest and activity thresholds to minimize false alarms.

Adaptive Motion – advanced motion detection behavior calibrates to scene conditions, allowing the system to distinguish targets from other movement in a scene, such as headlight glare, leaves blowing, a flag flying or snow falling. It is ideal for identifying people and vehicles in parking lots and perimeter detection with such outdoor conditions.

Vibration Removal – reduces video shake in applications where cameras are subject to vibration, providing a clear picture despite camera shake. Ideal for external cameras with long focal lengths, pole-mounted cameras and an array of other applications.

Object Removal – alarm triggers when a stationary object, such as a piece of art, is removed from a selected scene. This analytic behavior allows the user to define an object or area of interest in a scene. Motion is allowed in the protected zone, but if an object is removed, an alarm is triggered.

Object Counting – this behavior counts objects when motion is detected in a specific direction. Users have a wide flexibility in defining areas of interest and activity thresholds. An alarm is generated when the threshold is exceeded. Ideal for counting cars in a parking garage or counting visitors entering/exiting a high-risk department or other similar situation.

Camera Sabotage – advanced video loss detection recognizes when video has been compromised. For example, if a vandal paints or covers a lens, or reaches to move a fixed camera away from an intended scene, an alarm is triggered.

Abandoned Object – an alarm triggers when a stationary object appears and remains in a scene, such as a person setting down a backpack in the main lobby. This behavior allows the user to define an object or area of interest in a scene. Motion is allowed in the protected zone.

Loitering Detection – when people or vehicles remain in a defined zone longer than the user-defined time allows, an alarm is activated. This behavior is effective in real-time notification of suspicious behavior around pharmacy departments, ATMs, narcotic dispensaries and other locations.

Stopped Vehicle – vehicles stopped near a sensitive area longer than the user-defined time allows are detected. This behavior is ideal in loading and receiving docks, parking enforcement, and vehicle waiting at parking gates.

Auto Tracking – Pan/tile/zoom capability to track vehicles or humans entering or stopping in user-defined zones. Once identified, the camera locks on and follows the subject’s path. This analytic is best for building perimeters.

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