Transform your video surveillance with AI video analytics



Advancement in GPU-based processing technologies, neural networks and deep learning capabilities have given rise to next generation AI analytics, including AI video analytics, which present accurate solutions with a high return on investment. How does AI video analytics differ from 'conventional' video analytics? What are the advantages and how can this technology be applied? Read on to find out. 


The challenges of ‘conventional’ video analytics


The expectations of ‘conventional’ video analytics, a technology which has been widely used in video surveillance for over a decade, often exceed what can realistically be delivered. Pattern recognition and object/motion detection are achievable, however the extent to which they can prevent and solve incidents is limited. Accuracy is also an issue. For example, license plate recognition is not 100% accurate and facial recognition is notoriously difficult to perform reliably. Moreover, frequent false alerts decrease accuracy and increase workload for security operators. 


What is AI video analytics?


AI video analytics utilizes cutting-edge technology to digitally analyze video footage to identify key events and suspicious activity with increased detection accuracy and more classification capabilities. Driven by artificial intelligence and deep learning, video intelligence software detects and extracts objects in video, identifies them based on trained deep neural networks, and then classifies each object to enable analytics functions like search, filtering, alerting, data aggregation and visualization. With deep learning in place, accuracy continuously increases and false alerts decrease, increasing operational efficiency and drastically reducing investigation time.


The advantages and enhanced capabilities of AI video analytics


The key advantage of AI video analytics is its capability to leverage existing video surveillance infrastructure and transform stored video data into searchable, actionable, and quantifiable intelligence, safeguarding an organization's existing investment on equipment. 


Object classification includes, but is not limited to:

  • People - age, gender, ethnicity, clothing color
  • Vehicles - size, type (e.g. car vs truck), color, direction of travel
  • Animals - type (e.g. cat vs dog), color
  • Inanimate objects (e.g. bags, guns) - size, status (left-behind), type (pistol vs rifle)


Al can be used to train the system to generate real-time alerts based on certain behaviors, such as:

  • Direction movement
  • Loitering
  • People counting
  • Object left behind
  • Object removed
  • AI-based behavioral analysis
  • CCTV health monitoring
  • Health & safety compliance


Some leading AI video analytics solutions providers also offer advanced research modules, such as:

  • A video briefing module where advanced filters are used to breakdown a long video sequence into shorter videos based on information sought by the investigation team; 
  • Using the same surveillance infrastructure to enable business units to derive insights from their environment on a smart dashboard (see examples below).

A dashboard displaying visitor and employee count and visitor duration trends over a three-hour period across facilities and floors


Building occupancy dashboard


Building illumination data dashboard


The bottom line


AI video analytics provides highly accurate real-time alerts with significantly reduced false alerts, enabling security managers and business operators to act proactively to situational changes in their environment. The additional analytical layers, which transform the recorded video data into actionable intelligence, facilitates fast and precise investigation by pinpointing people and objects of interest.


By extracting and aggregating video metadata (such as men, women, children, vehicles, size, color, speed, path, and more) users can quantitatively analyze their video and use this data for additional purposes, helping increase the ROI from their surveillance infrastructure and increasing operational efficiency.


For more information about this solution, or to speak to an expert about how you can use AI video analytics to increase accuracy and efficiency at your facility, reach out to us at



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