On the heels of the release of Ocularis 5.0, OnSSI has now announced the introduction of several new technology integrations for its recently released VMS with C2P?s software solution. Ocularis 5.0, which is based on a new recorder, maximizes HDD storage effectiveness with dynamic data management for automatic storage load balancing, End-to-End 256 bit AES Encryption, and edge recording support.
The newly certified integrations with Ocularis 5.0, provide security professionals with valuable situational information across a wide range of applications including banking, access control, asset tracking, license plate recognition and point-of-sale.
?The correlation of video and data creates an extremely effective and intelligent security solution,? said Ken LaMarca, VP of Sales and Marketing, OnSSI. ?Ocularis? open architecture not only makes this integration possible, it results in a powerful tool that meets a variety of demanding applications and delivers comprehensive intelligence across
multiple platforms. Most important, beyond the power of these integrations, the systems provide vital information, better enabling the operators to assess emerging situations and provide them with information to choose an appropriate course of action.?
Details on these integrations are as follows:
Banking
Integrations with Diebold and Fiserv for teller terminals and ATM deployments allow for TCP/IP text and/or events to be streamed live directly to Ocularis in the form of JPEG images. The TCP/IP data is also stored as texts for forensic searches afterwards. All banking transactions are time synchronized with area video surveillance in real-time and includes real-time charting of specific events.
Access Control
These integrations with Axis, DMP, DSX, FST21, Hirsch, Isonas, Keri Systems, Keyscan, and RBH provide for real-time access control activity and user defined, real-time on-screen event annotation. The seamless integration with OnSSI provides real-time analytics which enables users to define rules based on the text received from the access control system.
These rules are then used to engage the full power of the Ocularis Event Fusion engine to push video of the event to predefined client screens, lock/unlock doors, blow horns, turn PTZs, send email and SMS alerts, etc. The C2P framework also includes a powerful text search tool, linking all texts received from the access control system with stored surveillance
video. Reports are available for export as CSV files and also as video evidence.
Asset Tracking
Traditional asset tracking is enhanced by this integration, allowing users of Visonic RFID or generic bar code readers to see real-time onscreen notifications of asset activity, as well as email and SMS alerts. The information can be exported for video evidence or as a CSV file for reporting purposes.
License Plate Recognition
This LPR integration with ELSAG, HTS, Inex/Zamir, Mango, PlateSmart and Vigilant Solutions provides users with real-time onscreen confirmation of LPR activities, the ability to graph specific events, and time synchronization of all license plate reads with area surveillance video. Onscreen event connotation, email and SMS alerts, a powerful search tool for all LPR text, and stored video are included. Exports include reports as a CSV file or video evidence.
Point-of-Sale
Integrations with IBM RMS, LOC, Micros, NCR Radiant, and POSitouch provide for all POS transactions to be time-synchronized with all Ocularis surveillance video. Real-time features include onscreen POS terminal
activity, time graphing of specific events and POS transaction analytics enabling users to quickly find activities of interest. User-defined event annotation via onscreen messaging and push video, email and SMS alerts are also included. Video evidence can easily be exported as CSV files or displayed onscreen as a camera view.
?Working with OnSSI to accomplish this integration has been a smooth and positive experience thanks to the open architecture of Ocularis 5.0,? said Paul Eaton, President and CTO, C2P. ?The solution efficiently addresses the
complexities of bringing together video and data for highly effective use in security applications.?