The Single Most Important Thing You Need To Know About VIDEO ANALYTICS
Today, video footage from hours of video surveillance devices has increased immensely. Video analytics software helps you to understand the important part of this footage whenever required. Information is most valuable whenever it is needed most, valuable events that are actively captured in real-time. It helps you to monitor video streams 24/7 and gives you real-time alerts whenever requires attention. GPU plays a vital role in any Video analytics solution. it helps to process video on low-cost acceleration. Signal-based stabilization technologies improve the effectiveness of video analytics and produce more quality video streams whenever required.
What is video analytics?
Video surveillance systems produce massive amounts of videos. Due to lack of time or resources however, most of this video never gets watched or reviewed. As a result, security incidents get missed and suspicious behavior is not detected in time to prevent incidents. These challenges have played a large part in the development of video analytics.
Video analytics are software applications that automatically generate descriptions of what is actually happening in the video (the so-called metadata), which can be used to list persons, cars, and other objects detected in the video stream, as well as their appearance and movements. This information can then be used as the basis on which to perform actions, e.g. to decide if security staff should be notified, or if a recording should be started.
Why use video analytics?
Video analytics offer many benefits, such as:
•Cost savings – less video sent over the network reduces the network load and storage requirements.
•Time savings – monitoring and searches in the recorded video become easier, allowing operators to manage more cameras.
•Greater efficiency – automatically monitoring video for security incidents helps prevent crime, rather than simply reacting after the event.
•Creation of business value – integrating video data into other systems, such as headcounts from entrance cameras in retail stores, means the surveillance system can contribute insights and new solutions for other business functions.
Here are Video Analytics Application Cases and its use.
Video analytics has use cases across many industries. Some examples include:
•Retail – Counting customers in a store, tracking movement, optimizing store design and merchandise restocking
•Transportation – Left luggage identification in airports
•Healthcare – Thermal imaging for elevated temperature monitoring
•Manufacturing/Industrial/Construction – Quality control, and health and safety compliance
•Food Processing – Quality control
•Entertainment and Sports – People counting to manage crowd traffic
•City Operations – License plate recognition and vehicle counting for urban planning
•Law Enforcement – Searching video content to help investigations
Multiple video streams are often paired to enable use cases and combined with IoT sensor data for comprehensive insight and situational awareness. Video management systems can also integrate with third-party security apps to help organizations take a holistic approach to their video analytics strategy.
At Network Techlab, We are known for delivering integrated, excellent technology solutions for IT Infrastructure, Datacenter, and office automation technologies. Our dedicated team for video surveillance and physical security infra solutions makes a unique blend of technology and architecture design to build automation for your work premise and delivers a reliable secured user experience.
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