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Save time, reduce expenses, and optimize operations with AI Visual Check in OpenEye Web Services (OWS) by automatically verifying site conditions, so your team can reduce manual walkthroughs across multiple locations and focus on strategic tasks that drive results. 

Instead of spending hours reviewing video or relying on manual checks, AI-powered analytics evaluate camera images and alerts users only when something needs attention. Users can define what matters most to their operations, whether that’s a clean lobby, stocked shelves, secure access points, or any number of unique conditions. 

By letting cloud video surveillance handle routine operations, organizations save time, reduce unnecessary alerts, and gain greater understanding of what is happening across every location without anyone needing to sit in front of a screen.

AI Visual Check in OpenEye Web Services (OWS) showing a prompt bar over a scene depicting an outdoor entrance that reads, "Are the floor mats in place?" with an alert on the left side of the scene that reads "OPENEYE. Floor Mats Missing. West Entrance. View Video."

Verify Operating Conditions With Automated Visual Inspection

AI Visual Check in OWS helps confirm that day-to-day operating conditions are being met across locations without relying on manual video review or on-site inspections. Users can simply specify the conditions, set a schedule, and let AI video analytics monitor the environment. Alerts are triggered only when conditions fall outside expectations, so teams can act quickly without constant oversight. 

Leveraging this capability can be used across a wide range of use cases. For example, teams can use AI Visual Checks to automatically detect gaps or missing items on shelves. By monitoring key areas, teams receive timely alerts when products run low or displays aren’t placed. This helps prevent lost sales by ensuring merchandise is consistently stocked for customers, improving bottom lines, increasing patron retention rates, and driving greater revenue. 

Detect Risks Through AI Compliance Monitoring

Organizations can leverage AI Visual Check in OWS to help identify potential safety and compliance issues before they lead to incidents or operational disruption. Visual Checks can assist in monitoring designated areas for visual signs of risk and notify teams when action is needed, helping reduce incidents, support compliance efforts, and minimize manual inspections. 

For operations and facilities teams, AI video analytics can be used to help detect situations such as whether exits are blocked by objects (for instance, a stack of boxes), or if a forklift path or designated walkway is obstructed. This helps to ensure that, when key entry and exit points aren’t clear, action can be taken to quickly resolve the issue. This can limit compliance risk and prevent incidents from occurring that could impact safety as well as cost the company in insurance claims. 

By leveraging AI Visual Checks for compliance monitoring across operations, organizations can proactively detect risks, reduce incidents, and build a safer, more compliant workplace. 

Analyze Historical Trends and Long-Term Operational Insights

With AI Visual Checks, businesses can track and analyze results to uncover patterns, spot recurring issues, and optimize operations. The analysis offered by Visual Checks creates historical data which can help teams across industries make smarter, data-driven decisions without manual reporting or arduous review work. 

For example, teams can see trends in shelf-stock gaps or cleanup issues across stores over weeks or months. This in turn enables proactive interventions that reduce lost sales, prevent accidents, and improve operational consistency. By leveraging the data uncovered through AI-powered video analytics, organizations can better elevate their business operations to drive greater revenue and improve the company’s bottom line. 

Keep a Closer Eye on Business With AI Visual Checks in OWS

AI Visual Checks provide an easy, streamlined way for businesses to ensure operational workflows are being followed and strengthen security by alerting teams to incidents that require immediate response. 

With AI Visual Check, businesses can:  

  • Automate Visual Verification: Reduce manual walkthroughs by letting OWS analyze images to detect real business and safety issues across locations. 
  • Proactively Monitor Operations: Stay proactive with alerts when action is needed, helping avoid in-person audits and reactive complaints. 
  • Improve Your Bottom Line: Protect revenue, improve customer experience, and ensure compliance with a clear return on investment. 

See how intelligent alerting can be used to benefit your business. 

FAQs: AI Visual Check

What is AI Visual Check?

AI Visual Check is a proactive monitoring tool available in OWS that uses AI to analyze camera snapshots and determine whether predefined visual conditions are met. Users configure checks using simple prompt-based instructions, set schedules, and receive alerts only when conditions fall outside expectations. The feature is designed to reduce reliance on manual inspections and help teams act faster when issues arise. 

How does AI Visual Check help operations?

AI Visual Check benefits processes by enabling OWS users to configure alerts customized to unique operational and security situations. This could be setting an alert that lets businesses know whether floor mats have been placed in key areas to avoid liability issues, or if a store shelf has been stocked on time. 

How does AI Visual Check differ from traditional video surveillance monitoring?

AI Visual Check differs from traditional video surveillance monitoring in that it automates manual walkthroughs of site environments to confirm compliance or processes are being followed. AI Visual Check can recognize abnormal conditions and notify operators only when these conditions need attention, allowing businesses to focus less on constant visual monitoring and more on other strategic tasks. 

Can I set video surveillance alerts using natural language?

Yes. AI Visual Checks are configured through natural-language prompts, which the OWS platform then uses to notify operators of related incidents. This provides a highly customizable and intuitive alerting engine.

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