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The sheer volume of video content being produced and consumed on a daily basis is mind-boggling.
According toStatista, 500 hours of video are uploaded to YouTube every minute!
Obviously, its daunting for media analysts to make sense of it all.
What Are AI-Based Video Analytics Tools?
Suppose you want to identify inappropriate/offensive content in published or user-generated videos.
you might build custom AI models on set guidelines describing what makes content objectionable or inappropriate for your business.
Then, trigger the model across video files to detect anomalies.
Video analytics are widely used across industries and offer versatile services catering to individual business needs.
However, recently the software is becoming increasingly popular among businesses and media houses.
So, technically, the use cases of AI-powered video analytics tools have been evolving ever since.
You see, a human brain can process images that the eye sees for as little as13 milliseconds.
But we can definitely expect AI to do so.
AI-powered video analytics tools examine streaming or recorded video frame-by-frame rather than looking at it as a whole.
The granular approach allows them to detect, track, and classify objects in a scene.
This level of detail can be crucial in identifying security threats and suspicious behavior.
A major part of the video analytics process accompanies automation.
From analyzing videos to collecting and storing insights, the tools do it all.
Ideally, it would have taken several hours and a sizable workforce to perform these activities regularly.
And even after hours of work, you wouldnt be able to get the insights that AI would provide.
Lets get this with an example.
You own a brick-and-mortar store and have set up a control center to analyze your stores surveillance feed.
Without video analytics tools, your surveillance team would end up staring at the screen 24*7.
With the boom in content creation, keeping an eye on user-generated content is tough.
AI-powered video analytics tools help you sweep through hours of video content in minutes.
The best part is you could train the algorithm with specific compliance guidelines.
If content fails to comply with the set guidelines, the tool can detect them in seconds.
This allows content moderators to take immediate action to address the alert.
You may configure the alerts for anything: fake logo detection, obsolete content, brand mentions, etc.
Real-time alerts are vital in time-sensitive situations, primarily in the security sector.
The owner, security staff, and others will receive an e-mail or a notification automatically without human intervention.
Here are some amazing AI-based video analytics tools for better media analysis.
It uses deep learning technology to perform facial recognition, object detection, and image analysis.
Key Features
Rekognition is trusted by the likes of Pinterest, PBS, and more.
Google Cloud Video Intelligence
GooglGoogleso AGoogleVideo simplifying video analysis and media management.
Its pre-trained models can recognize over 20,000 objects, activities, and scenes in stored and streaming videos.
Additionally, video AI also has face detection and person detection models that are in the beta stage.
Video Indexer
Video Indexeris a cloud-based video analytics tool by Microsoft Azure.
With the Video Indexer, privacy and security are no more a myth.
It has over 3,500 security experts dedicated to protecting your data and privacy.
The platform also has state-of-the-art certifications, making it perfect for innovative applications in various industries.
Clarifai
Clarifaioffers full motion video analysis with the help of computer vision and AI.
The tool is inclined toward situation awareness and object detection, making it suitable for surveillance and security purposes.
Clarifai provides top-tier video analysis support to the worlds best teams worlds,Canva, Nvidia, and more.
Besides, you get 1000 free monthly operations when starting with Clarifai.
Lumeo is an all-in-one video analytics platform.
TheUniversity at Buffalodeveloped a smartphoneapplicationdesigned to help detect autism spectrum disorder (ASD) in children.
The app works on the principle of motion detection (the core of video analytics).
It does so by charging customers automatically according to what they grab from the shelf.
When buyers return an item to the shelf, Amazon removes it from their virtual cart.
So, humanly, its impossible to keep track of faces and abnormalities in heavily crowded places.
Video analytics tools, however, can do it for you 10X faster and more accurately than human supervisors.
Conclusive Thoughts
AI-powered video analytics are no longer techie talk.
Its been used in marketing, sales, customer service, and other business roles.
In this article, weve tried to cover every possible aspect of AI-based video analytics.
Next, you may be interested in knowing why video marketing is important for your business.
