You may have monitoring cameras that are churning out video, but what are you really doing with that video?

If you’re like most companies and government agencies, probably not much. The vast majority of video feeds are never viewed by anyone. An Accenture study pegged the unwatched-video percentage at 98 percent.

The truth is, there is value in those video stockpiles, if you know where to look. But the challenge is how to mine all that material to find it. It’s not like you can assign someone to sit down and review every one of your video feeds.

As a strategy, that wouldn’t accomplish much anyway, because the average person who watches video monitoring loses focus quickly. After 20 minutes, any viewer starts to miss the details and nuances that might be sources of value1. It gets worse the longer they watch.

AI to the rescue

This is an application tailor-made for artificial intelligence. A “machine learning” solution to video surveillance analytics – whether those videos are real-time or collected data – won’t lose focus, can work 24/7/365, and can detect nuances that we humans might gloss over.

AI’s analytics capabilities make it possible to integrate data, video sources, and existing video assets to make businesses, cities, and facilities of all kinds safer and smarter. The result: better data-driven decisions. Here are a few examples:

  • Industry: In industrial IoT applications, where efficiency and worker safety are critical, video analytics enable comprehensive worker monitoring, motion detection, alerts for behavior and product anomalies, facility security, and optimization of processes.
  • Government: To help ensure public safety, deliver effective and efficient services, and manage the infrastructure, AI video analysis can power improved incident response and better ongoing planning and decision-making.
  • Retail: Video surveillance analytics can help retailers better understand customer preferences and behavior in stores. It can trigger long-checkout-line alerts, enhance the ways products interact with customers, and enable optimized in-store marketing techniques.
  • Transportation: Challenged to deliver on-time safe transit, manage traffic and parking, keep pedestrians and bike riders safe, AI-driven video analysis can enhance those operations, improve security, and enable automated alerts.
  • Banking/financial services: Video surveillance analytics can enhance safety in branches, aid in theft prevention and incident management, and help financial institutions meet regulatory requirements.

Getting specific

Let’s look at some specific uses for this new approach to video analysis:

  • Automatically detecting the intrusion of people or vehicles into protected or private areas.
  • Supplementing IoT detection systems by spotting changes and identifying objects that could compromise safety in critical areas, such as a piece of luggage where it doesn’t belong.
  • Automatically detecting and filing human faces in an entrance or gated area, to get a precise overview of everyone inside the confines of that area.
  • License plate recognition, in which AI can compare plate numbers and match them to blacklists or whitelists, valuable for police agencies as well as parking facility management and fleet management.
  • Parking space analysis, with automatic detection of vehicles in a lot, for more accurate assessments of parking situations at airports, sporting events, or other areas.
  • Traffic analysis on roads and highways, with the ability to count and classify cars instantly.
  • People counting (with automatic obscuring of individuals faces for privacy), which can be valuable in retail environments or public areas such as railway stations or museums, to enable rapid allocation of human resources for management and assistance.
  • Queue detection, important in retail checkout areas as well as airports, public agencies, or ticket counters.

What it comes down to is by applying AI to video and other IoT sensor analysis, organizations can make faster, smarter decisions. They can capture a holistic, 360-degree view of their environment. And they can automate both the insights they gain and the actions that are taken in response to those insights.

AI offers the ability to turn recorded video into an intelligent security alert platform, gathering video data from any number of sources, aggregating that data, and making rapid decisions – some instant and automated, others with data-enabled human intervention. With AI, the customization to specific business and organizational needs is almost infinitely variable.

And it’s available now

This AI-powered analysis is available now through the new CuriosityTM Smart Video Analytics solution. It is a highly adaptable, intelligent system that integrates disparate video and data assets in order to produce a single overall view of various situations or operations.

In addition to the advanced video analytics features, Smart Video Analytics offers high availability, redundancy, and scalability in a secure and open platform with an intuitive, highly configurable interface. The solution is also uniquely available on an OpEx basis, eliminating the need for a hefty up-front investment.

With businesses, cities, and public organizations increasingly concerned about maintaining visibility across their disparate systems, AI-powered video analysis offers the opportunity to better protect property and infrastructure, enhance business operations, and meet the ever-growing challenge of ensuring efficient traffic and parking in urban environments.

Learn more here.

1Markets and Markets research