Increase Security and Reduce Operational Costs

Ocularis Analytics enable the automated detection of specific movement and behavior patterns, both human and vehicular, significantly increasing the effectiveness and responsiveness of the entire video and security system.

With Ocularis Analytics, alerts are generated on specific behaviors, rather than for each and every detected motion. This reduces false detection and false alarm rates, while reducing, and in some cases even eliminating altogether, the need for live monitoring of video from large camera systems. 

The result is that larger camera systems can be monitored using the same or fewer operators, with superior responsiveness, dramatically cutting costs while providing better security coverage. . 

Multiple Analytics behaviors can be applied to a single camera, and unlimited rules can be set for each behavior. Analytic detection can also be assigned for PTZ cameras, for tracking human/vehicular movement within the cameras field of view, and for detecting motion within PTZ presets.

With Ocularis Analytics, complex detection scenarios can be created by linking analytics behaviors and rules, and using Ocularis' Event Fusion functionality, can be linked to events generated by access control and other security systems. 

Analytics-generated alerts can be pushed automatically to users’ video clients, together with a graphical metadata overlay indicating the object or movement that triggered the event.

OnSSI’s Analytics integrate with an array of cameras and video encoders which perform the analytics processing on-edge (prior to image compression), thus maximizing bandwidth utilization. 

Ocularis Analytics are fully scalable, with no limit on the number of connected cameras, analytics behaviors per camera or analytics servers.

Industry-specific analytic modules extend the functionality of the entire IP-video platform beyond security and safety. Transportation authorities can employ vehicle counting and detection for traffic control and analysis. Analytics can be applied to industrial assembly lines to detect exceptions. In retail, analytics can be used to count people on cashier lines, detect shoplifting, detect ‘slip-and-fall’ incidents, and measure the time shoppers spend by a display, turning the analytics system into a profit center by sharing video with suppliers and analyzing consumer behavior.

Ocularis Analytics Configurable Detection Modules

• Movement-In-Zone – detection of human or vehicular movement in sterile/secure zones where no movement is expected, with filters for direction and speed of movement.
• Directional Line Crossing - virtual line (‘tripwire’) crossing for human and vehicular movement. Used for controlling crowds where movement is expected in the field of view, or for detection of vehicles crossing separation lines or entering unauthorized areas.
• Crowding - alarm is generated upon crowd size reaching a user-defined threshold for a configurable period of time.
• Tailgating - detection of person or vehicle crossing entry/access-point line within a user-defined time interval after another person or vehicle. Can be easily integrated with access control systems.
• Loitering – detection of person sojourning within defined zone for user-defined period of time.
• Grouping – event generated upon number of persons in defined zone exceeding exact threshold. Used for secure zones and small groups.
• People/Vehicle Counting – directional counting of moving people and/or vehicles, with database storage of results and various statistics reports including overall daily traffic, traffic density hot spots, comparison between specific hours and days and more.
• Stickiness – counts people that remain in field of interest for more than the user-specified dwell time; useful for measuring the effectiveness of retail displays.
• Moving Water Vessel – detection of water vessel movement, filtering out waves, sun reflections and typical waterscape phenomena.
• Suspicious (Abandoned) Object – detection of abandoned object in area of interest with filters for size and length of time object is present.
• Illegally-Parked (Stopped) Vehicle – detection of vehicles stopped in one or more ‘no-stopping’ zones beyond a configurable time threshold.
• Road Obstacle – detection of obstacles in area of interest that remain stationary for more than the predefined amount of time, filtered for size of obstacle and duration.
• Asset Protection – detects the removal of up to 20 objects from a camera’s field of view. Event is reported when an object is removed or hidden for more than the specified amount of time.
• Detection Modules for PTZ Cameras
  • PTZ tracking of human/vehicular movement
  • Movement-in-zone and line crossing detection within a PTZ preset view.