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, organisations can save time, reduce unnecessary alerts, and gain greater understanding of what is happening across every location.
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
Organisations 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, organisations can proactively detect risks, reduce incidents, and build a safer, more compliant workplace.
Analyse historical trends and long-term operational insights
With AI Visual Checks, businesses can track and analyse results to uncover patterns, spot recurring issues, and optimise operations. The analysis offered by Visual Checks creates historical data which can help organisations make smarter, data-driven decisions without manual reporting or arduous review work.
Teams can see trends in operational issues across locations 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, organisations 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 analyse 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 the bottom line: Protect revenue, improve customer experience, and ensure compliance with a clear return on investment.



















