Video surveillance has come a long way from being a simple visual record of incidents to analysis of video streams in real time using complex algorithms, accurate object and event detection, and alarm generation. These applications are not limited to infrastructure surveillance of buildings and cities, and are even applicable to industrial units for asset security and management. In the security and surveillance area, there are video analytic solution applications for event monitoring, object detection and object event interaction, video content analyzer, and human detection and tracking.
In industries, such as oil & gas, wherein the assets are widely distributed and not easily accessible, event monitoring, risk mitigation, and deviation detection are essential components of the security system to alert any suspicious activities in and around the field. Apart from oil & gas, these surveillance features find wide usage in overall industrial safety & security, automotive, transport, home automation, healthcare, and so forth.
An interesting and upcoming advancement in industrial safety & surveillance is video analytics, which can analyse both historical and real-time video streams. By analysing historical recorded situations, it helps in forensic analysis to identify events, attributes or patterns of behaviour. Moreover, it monitors video streams in real time and automatically generates alerts to prevent accidents or untoward incidents.
A major challenge for suppliers is developing intelligent cameras at a reasonable cost. Intelligent sensors and IoT-enabled advanced cameras are needed to get the most out of advanced content analysis softwares. These days, digital high-definition (HD) internet protocol surveillance cameras are replacing analog cameras because of lower installation costs, scalability, and the ability to add intelligence. In depends on the suppliers’ solution and its functional capabilities including accuracy and coverage, as to what extent video analytics can be utilized for industrial assets including oil & gas; and its interoperability with platforms such as plant asset management and building information modeling (BIM).
Video surveillance solutions need to monitor large areas, handle complex query processing and time-varying images. Increasing the probability of detecting future incidents is equally important, and thus the specific video feed is shared with the surveillance personnel for post-event analysis for improved vigilance. Suppliers are developing several surveillance applications such as video content analyzer, hand gesture recognition, human detection & tracking, and moving object detection as part of the video analytics solutions.
The video analytics software and surveillance applications enable fast and accurate classification of objects and events. The algorithms need to be consistently refined by testing them with various types of data to reduce false alarms. In terms of return on investment and effectiveness of operational costs, advanced video analytics can provide a more reliable, functional, and automated video analysis as compared to simple motion detection.