Benchmark Innovation Awards 2018 Intelligent Systems Winner: IPS – AnalyticsManager V8
IPS AnalyticsManager V8 is a web-based system designed to help create a centrally managed solution which enhances the performance of IVA options for varied applications. Without alarm notifications, an operator can only review incidents or retrospectively track offenders via recorded video, which is not always efficient or effective.
To reduce the chance of incidents being missed, IPS Intelligent Video Analytics offers a wide range of IVA options which support security operators in interpreting situations quickly, recognising potential threats in real time and identifying threats as they unfold.
To make these intelligent functions available to any video surveillance system, IPS AnalyticsManager is a web-based platform that is designed to offer centralised management and simple integration of a wide range of certified video analytics modules. IPS AnalyticsManager facilitates a high level of compatibility and ease of use.
The platform makes use of a ‘zero integration’ interface, which makes implementation straightforward and also allows the software to provide a video stream with overlaid metadata which can be displayed in any third party VMS.
With a range of intuitive web tools, IPS AnalyticsManager gives the operator the ability to configure and operate the analytics without any requirement for in-depth technical knowledge. The process simply takes a few mouse clicks.
Currently IPS offers 13 different edge- or server-based video analytics modules via the IPS AnalyticsManager platform. The intelligent IPS Loitering Detection, for example, is ideal for effective support of security staff. It detects if a person or group of people dwell in a certain area for a predefined time. By setting the alarm zone and dwell time, a notification is generated when the time limit is exceeded. This notifies staff and enables them to act.
All IPS analytics have a GUI which allows intuitive setting of the modules. In order to deliver precise and reliable detection, various parameters have to be correctly set. The definition of object size ensures that only people are detected. Furthermore, the use of filters enables reliable detection and ensures that adverse weather conditions do not impact on detection performance.