Ways Video Content Analytics is Improving Customer Insights

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Video content analytics is widely relied upon by companies in extracting brand insights by evaluating consumer sentiment from all types of video data. There has been a surge in user-generated video content as social media platforms like YouTube and TikTok incentivize people for uploading videos.

Brands are keeping a close eye on this new trend and have increased product and promotion videos as well. In fact, video content analytics application can offer companies greater avenues for analyzing vital key performance indicators for video assets on social media channels.

Let’s take you through some of the known industry applications of video analytics and have a look at a few real-life examples.

Healthcare

For decades now, healthcare institutions have invested significantly large amounts of money in video surveillance solutions. The essence of doing this is to ensure the safety of their patients, staff, and visitors, at levels that are often regulated by strict legislation. Actually, video content analytics is now the norm among healthcare institutions.

Aside from facilitating surveillance tasks, video analytics allows us to explore the collected data to realize business goals. For instance, a video analytics solution could detect when a patient has not been checked on as per their needs and alert the staff.

Transportation

Video analytics is proving reliable in the area of transport, aiding in the development of smart cities worldwide. A surge in traffic, especially in urban areas, can lead to an increase in accidents and traffic jams if adequate traffic management measures aren’t undertaken. Intelligent video analysis solutions can be worthwhile in this scenario.

We can now count on traffic analysis to dynamically adjust traffic light control systems and monitor traffic jams. It can also be useful in detecting dangerous situations in real time, such as vehicle stopped in an unauthorized space on the highway.

Some video analytics platforms can now detect pedestrian’s misbehaviors on street videos and be able to process high volumes of data. This allows us to take actions in areas where misbehaviors are abundant generating traffic issues.

Video content analytics is now applicable in a wide range of industries; including retail, security, and sports, to name a few. Understanding the working mechanism of video analytics is essential in this regard. Depending on the particular use instance, the architecture of a solution may vary, but the scheme will always remain the same.

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