Luiggi Pechini
Senior Key Account Manager in Lanaccess
Telecommunications engineer
17 March 2026
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In retail, intelligent video analytics turns surveillance infrastructure into an active asset – one that delivers a clear return on investment.
The following video shows how Lanaccess intelligent analytics can improve store operations and layout, detect unwanted behaviour and speed up forensic searches.
Video Analytics Solutions for Retail
In-Store Asset Protection Alerts
- Shopping trolley exit: detects customers leaving with trolleys.
- Backpack detection: identifies backpacks and sports bags.
- Covered face: detects facial concealment, including face masks, caps, sunglasses and helmets.
- Loitering: detects prolonged stays or repetitive movement in sensitive areas.
- Unauthorised access: alerts triggered by entry into restricted areas such as stockrooms, staff-only areas and emergency exits.
- Camera tampering: detects cameras that have been covered, repositioned or interfered with.
All alerts can be fine-tuned by zone to suit day-to-day operational needs – for instance, setting time thresholds for loitering or defining permitted areas – to minimise unnecessary alerts.
Forensic Subject Search
When an incident occurs, one of the key challenges is locating a suspect within hours of recorded footage and tracing their movements through the store. The Lanaccess Suite VMS makes this faster and more precise through forensic searches based on visible attributes and filters that can be combined:
- Clothing: filter by garment type and colour (for example, “red jacket”, “blue shorts”, “black dress”).
- Gender and age: male or female, with approximate age and a confidence score indicating the likelihood of a correct match.
- AND/OR filters: combine criteria to narrow (AND) or broaden (OR) the search depending on the information available – for example, “male, green jacket, covered face, backpack, 30% match to a 40-year-old” or “red t-shirt OR sunglasses OR backpack”.
Business Data Insights
When the goal is not just to review events but to understand what is happening on a recurring basis, data analysis comes into play. BI Xplorer lets you analyse the data generated by the analytics platform, accessible from any web browser, allowing you to view:
- Which zones and areas attract the most activity.
- Queue waiting times and people counts in selected areas.
- Breakdowns by age range and gender.
- Statistical comparisons across multiple stores.
- Emerging trends in customer behaviour.
Heat Maps
Heat maps show which areas of your store attract the most – and the least – footfall over a selected period.
They provide a quick and effective way to identify concentration points and make operational improvements, such as:
- Adjusting layout and customer routes based on footfall and dwell times.
- Checking whether a promotion is affecting customer flow in specific areas.
- Increasing or reducing staffing levels according to peak times and busy zones.
- Identifying energy-saving opportunities based on typical occupancy patterns.
Final Thoughts
Video analytics for retail integrates seamlessly into an existing surveillance ecosystem, supporting the full operational cycle of your business. With targeted alerts, advanced forensic search capabilities and data analysis, you can respond to incidents as quickly as possible, optimise your operations and ultimately enhance business performance.
Contact us to implement these video analytics solutions without the need to replace your store’s existing surveillance infrastructure.
