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Video Surveillance Analytics: How AI Drives Greater Revenue

Enterprise businesses generate massive amounts of visual data from their video surveillance systems. Despite this constant stream of data, most of it goes unused. This leaves a wealth of valuable information untapped which can help unlock operational advantages and drive greater revenue.

To optimise workflows through surveillance, organisations can use AI video analytics to uncover hidden insights buried within video. AI cuts through system noise by automatically sifting millions of data points to pinpoint events and identify trends, helping guide business decisions to elevate operations. By shifting from reactive recording to proactive analysis, businesses can transform their video security systems into an engine for business intelligence.

The Areas Impacting Business Operations

Enterprise businesses face many daily challenges that impact both the bottom line and customer experience. Without a way to automate video analysis, unidentified inefficiencies can affect organisational performance. Businesses should examine how manual workflows create friction within daily operations, particularly in three key areas:

  • Recurring manual walkthroughs which slow processes
  • Limited visibility into customer foot traffic
  • Extended, inefficient queue lines

How Intelligent AI Analytics Unlocks Operational Efficiency

Advanced AI video analytics in a cloud video platform can turn security cameras into intelligent operational assistants. An AI cloud solution can automatically monitor specific zones and detect patterns so teams can elevate operations.

Instead of relying on staff to manually monitor cameras or physically walk the floor, AI analytics does the heavy lifting, with key capabilities including:

  • AI-powered visual alerting
  • Traffic count analytics
  • Additional third-party analytics types

Visual Check To Reduce Manual Walkthroughs

With AI-powered visual alerting, businesses can automatically verify site conditions and operational readiness to surface trends, improve consistency, and focus resources. These checks analyse camera feeds at scheduled intervals to ensure compliance with company policies.

For example, an automated visual check can confirm whether promotional signage was placed on time at specific locations. It can also help monitor corridors to ensure emergency exits remain unblocked by boxes. By reducing manual walkthroughs, team members free up valuable time while ensuring incidents are addressed quickly.

An automated visual check can ensure emergency exits remain unblocked.
An automated visual check can ensure emergency exits remain unblocked.

Traffic Count for Actionable Business Insights

Organisations can gain clear visibility into location occupancy for more effective resource usage with traffic count analytics. AI-driven traffic counting tracks the number of individuals entering and exiting specific locations, offering valuable data regarding occupancy.

This capability helps managers align labour costs with actual foot traffic and drive more profitable operations, as managers can analyse historical traffic trends to build optimised schedules. Occupancy threshold alerts provide an additional tool for responding quickly during situations when an unexpected rush is occurring. If the number of people in a store exceeds a predetermined limit, the system will notify store managers. This helps businesses ensure service remains swift even during unpredicted spikes in occupancy.

AI-driven traffic counting tracks the number of individuals entering and exiting specific locations.
AI-driven traffic counting tracks the number of individuals entering and exiting specific locations.

Third-Party Video Analytics To Improve Speed-of-Service

A complete video surveillance solution should also be able to leverage third-party analytics, such as:

  • Vehicle Journey Time Analytics
  • Queue Length Detection
  • Wait Time Tracking
  • Unattended Customer Detection

An open platform architecture enables utilisation of analytics-enabled cameras and edge devices to further improve customer experience and enhance operations. An open ecosystem also ensures businesses aren’t locked into a single vendor’s product, allowing deployment of the exact analytics required for unique business environments.

Supercharge Your Business Operations With Video Analytics Solutions

Christopher Åkesson, Regional Sales Manager, OpenEye
The article author Christopher Åkesson, Regional Sales Manager, OpenEye.

An open, AI-powered cloud video platform helps businesses take their operations to the next level. With an intelligent solution, organisations can automate walkthroughs and respond to operational inefficiencies faster, whether that’s long queue lines or workflow anomalies, while also gaining insights into company resource usage and trends.

OpenEye’s AI video analytics provide a powerful solution designed to help enterprise businesses turn video into actionable intelligence, all available in the OpenEye Web Services (OWS) platform. By bringing video data into an AI-driven platform, OpenEye empowers organisations to reduce manual inefficiencies, align labour resources with customer demand, and ensure brand standards are consistently met across every single location.

Book a demo today to explore how OpenEye’s AI-powered video analytics can transform your organisation.

CHRISTOPHER ÅKESSON
Regional Sales Manager, OpenEye.


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