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Due to increasingly larger systems, today’s video surveillance systems produce more content than ever before. In many cases, the manned monitoring model has become impractical or cost-prohibitive. is calls for an entirely new set of tools that enable extracting critical information from vast amounts of live and recorded content. Ocularis Analytics increase the effectiveness and responsiveness of your IP-video system with automated detection of targeted behaviors based on fully scalable, rules-based video content analytics.

Ocularis’ Video Content Analytics enable the detection of movements and behavior patterns corresponding to configurable rules, including time-lapse events (e.g. loitering or stalled vehicle) that are often overlooked by security personnel. Analytics-generated alerts can be pushed automatically to users’ Ocularis Video Clients, together with a graphical metadata overlay indicating the object or movement that triggered the event. Multiple detectors, for a variety of behaviors, can be applied to a single camera, and complex detection scenarios can be created by linking analytics rules based on a predefined sequence of events.

Ocularis’ Event Fusion capability enables the generation of composite alerts by linking analytics-generated events to events generated by access control, transaction or other systems. is reduces the false detection rate and increases detection accuracy.

Featuring a distributed, open systems design, Ocularis Analytics can 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 modules 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.

Combining recording, event management, video intelligence and client access, Ocularis, OnSSI’s intelligent IP video control & management software platform, redefines the boundaries of intelligent IP video surveillance. Ocularis’ open-architecture, non-proprietary solution enables seamless integration with third-party physical security, enterprise and video content analytics applications. e touchscreen-enabled, map-based Ocularis Client, for desktop and video wall environments, provides instant access to cameras and camera groups, powerful investigation tools including the revolutionary Time Slicer and Motion Slicer, and shared handling among multiple operators. e Ocularis Client allows access to video of an incident, thorough investigation, bookmarking, shared management and export of evidence all within seconds. Fully Scalable, Configurable, Rules-Based Content Analytics integrated into the Ocularis Client Ocularis Analytics On-Net Surveillance Systems, Inc.

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.
• Fallen Person (slip-‘n-fall) – detection within seconds of transition from person’s vertical position to horizontal/angled position.
• Object 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.
• Object Removal – detects the removal of an object from a customer-defined region in a video camera’s field of view. Event is reported whenever object is moved from the region.
• 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.