Managing and organizing an event at a massive scale is a highly challenging task. Even the smallest errors can jeopardise the entire event. In such cases, using video analytics and cloud based video management software (VMS) can help in effectively managing an event by not only providing insights, but also automating critical processes.
Every major city around the world hosts massive events from time to time. Organizing and managing such events can be a very tedious task. To get each activity in order, and to perform it smoothly requires herculean efforts, because each of these events attract a large number of audience. Such events can also attract criminal activities, so it becomes a major challenge for event management companies to secure the premises. It require a Cloud based VMS solutions that can not only enable remote video surveillance, but also provide real time alerts and insights.
The organizing team is expected to do a threat and risk assessment before the event, in order to make necessary arrangements. It enables them to identify possible risks and prepare for worst case scenarios.
Once the layout of the area is confirmed, the next activity is to prepare a plan on how to secure the venue. High profile events require a high-tech video security solution, right from the vicinity of the venue to the entrance, queues, stage/s, audience areas, backstage area, parking etc. The challenge lies in installing a re-deployable VMS solutions for the same. Re-deployable equipment enables faster deployment and quick dismount.
A variety of IP cameras are required in monitoring live events. All these IP camera systems can be linked with connected devices like smoke sensors, metal detectors, speakers, emergency alarms, GPS devices etc. to generate real time video analytics data.
The most sought after video analytics in a cloud video surveillance solution for live events will be face recognition, people counting, queue management, intrusion detection to barred sections of the venue, trespassing & tailgating alerts, auto steering, line crossing, camera tampering, suspicious activity/object detection.
Let us understand the need for video analytics from the journey of a visitor to the event:
Face recognition algorithm detects and recognizes faces that appear in a camera’s field of view and verifies it against templates present in a database. Various classifier and recognition models can be built into the system to accurately detect and recognize faces.
These analytics data can be used to better manage the events and will help in improving security measures and business processes. The re-deployable and cloud based infrastructure makes the deployment easier, even while helping you in cutting down task force and securing the venue effectively.
eInfochips’ Cloud based VMS infrastructure can help the event management companies to manage surveillance remotely and also gives them to advantage of managing multiple events simultaneously. Get to know more about the emerging trends in video analytics.