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CCTV Intelligent Video Analysis: What Businesses and Cities Need to Know

The declining cost of cameras has caused a surge in video surveillance, but it’s also brought new challenges. Businesses and cities using CCTV surveillance are now collecting data from hundreds of cameras at once, creating a high volume of footage that makes storing and analyzing data time-consuming and expensive.

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To solve the problem, many organizations are turning to smart technology. CCTV intelligent video analysis offers businesses and cities a way to handle large amounts of footage in a time- and cost-effective manner. If you’re considering investing in CCTV intelligent video analysis for your business or community, here are the most important things you need to know.

How CCTV Intelligent Video Analysis Differs from Traditional Analysis

Traditional video analysis began when organizations had just a handful of cameras collecting data. All footage was stored, at least for a predefined period of time, with humans monitoring the data in real-time or sifting through footage during the time of known events. Video analytics software helped with the workload, using statistical analysis to improve timelines and highlight important information based on rules that were manually added to the program.

While labor intensive, traditional video analysis was feasible for small organizations and limited camera networks. As networks have expanded to dozens of cameras in a single business and hundreds in cities, it’s quickly become impractical. Studies show that humans detect about 85 percent of activity when monitoring one screen. This rate falls to almost half when nine screens are monitored.¹

CCTV intelligent video analysis is a more scalable solution that combines statistical algorithms with artificial intelligence to drastically reduce manual review and storage needs. Edge computing analyzes footage at its source, the camera, and discards footage considered “normal” or not important enough for further processing. Footage with anomalies is uploaded to a central system for more advanced machine learning video analysis and, eventually, human review.

As a result, CCTV intelligent video analysis processes data faster and reduces storage needs. Not only that but the quality of analysis is also improved.

How CCTV Intelligent Video Analysis Impacts Cities and Businesses

Any organization with a high volume of video content can benefit from smart video analytics software. Large businesses and cities with sensitive assets or expansive CCTV camera networks see the biggest benefits, however. Many get the most value from storage, privacy, and reactivity improvements.

Intelligent Video Analysis Improves Storage

One of the biggest challenges facing any organization that utilizes video surveillance today is storage. Video surveillance creates 1MB data per second, per camera. All of this data needs to be transmitted, analyzed and stored somewhere.

Intelligent video analysis uses edge computing to analyze data immediately and only stores important footage for later analysis by humans. The effect is dramatic, with only about five percent of total footage needing to be uploaded and stored, requiring a fraction of the storage needs. Both cities and businesses can significantly reduce costs by cutting their storage needs by 95 percent.

Intelligent Video Systems Alleviate Privacy Concerns

The amount of video stored when using traditional analysis methods inevitably leads to privacy issues. What are you doing with all that video of customers and city residents? Who has access to it? The more cameras you have recording your audience, the more likely you are to face privacy challenges.

By immediately discarding normal footage and keeping only data with anomalies such as crimes or traffic concerns, you greatly reduce privacy issues, assuring customers and citizens that you’re not keeping data of their activities without reason.

Smart Video Analytics Software Improves Reactivity

Intelligent video analysis begins reviewing footage immediately, flagging important events in real time. This shortens the feedback and notification cycle, allowing cities and businesses to react. Crimes and business events may elicit an immediate response, while other information on customer behavior or traffic concerns can be built into a long-term strategy.

AI-Based Analytics Improves Municipal and Business Intelligence

Intelligent video analysis can be used to draw out accurate insights over a longer timescale. Stores and other businesses, for example, can use these insights to improve both customer experience and store performance. Customer tracking can track dwell time to identify the success of promotions, the store’s most popular items and whether queues are getting too long.

Cities can use continuous monitoring to identify roads and streets that are regularly subject to high levels of traffic, speeding or crime. City planners can use this information to alter the flow of traffic, adapt road signs and increase police presence where necessary.

Use Intelligent Video Analytics Software to Augment Your System

CCTV intelligent video analysis is designed to complement existing video networks and staff. It won’t do away with human intervention. Humans will always be needed to review final footage and implement insights, taking the actions needed to make cities and businesses safer and more efficient. But AI offers a way for cities and businesses to transform their CCTV networks, making them more cost-efficient and more effective.

The most successful organizations recognize the importance of both parts of the equation: the human element and computer assistance. When developing your surveillance strategy, take both into account when considering your CCTV technology purchases and hiring.


Resources:
¹ https://news.umbocv.com/human-cctv-operator-effectiveness-research-review-2816e44d5d10

 

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