Video Surveillance systems act as effective tools to view / record events in order to provide security, safety, loss prevention, operational efficiency and business intelligence. Traditionally video surveillance system architecture constitutes of video cameras, network infrastructure, video management solutions, storage and Video Analytics.
Also known as Intelligent Video Surveillance, a typical VA solution helps in analyzing the video surveillance footage captured by a network camera. With the implementation of Video Analytics, alerts such as motion detection, traffic obstacles, unattended objects identification, removal of assets, over crowding, loitering, terrorist activities can be prematurely detected in real time.
In simple words, a task which is challenging and time consuming for a human surveillance operator can be simple with the deployment of Video Analytics driven by various algorithms. By rapidly analyzing the recorded videos, a VA solution can pinpoint on an event which is being recorded live or is already recorded. It can perform analysis on motion patterns and can detect any kind of irregularities at the earliest. Performance of statistical analysis on recorded videos, over defined periods of time is also possible through a video content analysis.
Video Analytics software continuously analyses the video in real-time and offers an immediate alert on detection of a relevant event. It offers in-depth analysis of videos, which is not possible to be detected by a human brain. Since, most of the analysis is done by the video management system; it reduces the need for human operators to a large extent. So, it is indeed an ideal solution which meets the needs of surveillance system operators, security officers and corporate managers. Its investment will be truly justified; if a clear understanding on when and why to use it is carefully premeditated.
The success of Video Analytics deployment depends on two things. Understanding the need of the surveillance environment is the foremost thing which has to be accessed before going for the option video analytics. Factors like coverage area, what exactly has to be captured, analyzed and response protocols in the selection of proper surveillance equipment and IP cameras need to be finalized.
High value assets and locations need to be secured with the best equipment and the rules to trigger them up have to be examined. Weather conditions, lighting, possible obstructions need to be carefully scrutinized.
Video Analytics can be correlated with surveillance technology, when implemented in three dissimilar configurations.
- Server based Video Analytics- In this category, VA solution is implemented on a dedicated server that will heave the video, analyze it and will issue the related alert, if the video has some pre-configured issues. This server based Video Analytics deployment is independent of video cameras and so is much preferred
- Edge based Video Analytics- Those IP cameras which have sufficient processing power to run the analytics are loaded with VA solution. Although, this type of application of VA looks strong on paper, in most cases it results in imposing limitations to surveillance system design and performance.
- Distributed approach- Some VA solutions can be implemented in between the IP camera/ encoder and the server level. This architectural approach will optimize the workload on the edge device and server and will offer high performance video analysis.
So, to whichever enterprise application this Video Analytics solution is offered, the main objective is to meet the efficiency level and to keep a record of all the sequences of events in an order. Although, this technology offers a bouquet of benefits, it still in a premature stage and needs to practically prove its significance on the large scale.