VIDEOGUARD SUPERMARKET THEFT DETECTION

Using artificial intelligence (AI) and algorithm-based learning, Videoguard is a ground-breaking security product that detects and prevents shoplifters in real-time. The crime prevention software connects to your existing CCTV system and starts analysing customer behaviour immediately.

Videoguard’s sophisticated anti-theft technology enables the software to differentiate between suspicious activity/criminal behaviour and routine shopping behaviour. This means your security teams can focus their attention on tackling genuine shoplifting attempts and won’t cause upset or embarrassment by accusing anyone of something they haven’t done. The algorithm-based learning allows Videoguard’s accuracy to improve over time – the more data it analyses, the more precise it gets.

Let’s take a closer look at the gestures Videoguard can detect…

Routine gestures

Here are some of the natural gestures you’d expect to see from a shopper. Videoguard can identify these behaviours but won’t generate an alert for them.

A customer placing items in a shopping bag, basket or trolley

These routine shopping behaviours won’t prompt an alert, but Videoguard can be set up to alert security staff when someone puts an item in a canvas bag and it’s not clear whether it’s a shopping bag or a personal bag. Videoguard can be programmed to recognise your store’s baskets and bags.

A customer taking out their wallet, phone, or shopping list

Videoguard won’t flag someone using an item that clearly belongs to them. However, if Videoguard can’t easily identify the object, an alert may be triggered.

Employees working

The algorithm identifies retail and in-store security staff by their uniforms and by the items and equipment they interact with, such as boxes, trolleys and carts.

3 square boxes showing different people shoplifting in a supermarket

No interaction with any items

A customer walks around the shop, possibly with a companion, but not interacting with any products.

Patterns of Criminal Behaviour

Suspicious gestures that indicate a shoplifting attempt will trigger an alert:

Interaction with personal bags

The algorithm will send an alert when a customer puts an item in a personal bag like a backpack, handbag or satchel.

Concealing an item on the upper body

Videoguard will send an alert when a customer places an item in the pocket of their coat or jacket, no matter how quickly or subtly they try to do this.

Concealing an item on the lower body

An alert will be triggered when a customer puts an item in the pocket of dress, skirt or trousers, or hides an item in the garment itself.

3 square boxes showing a person shoplifting in a supermarket

Putting an item in a pram/pushchair

Videoguard will generate an alert when a customer appears to hide an item in a pram or pushchair, or in a bag attached to it.

On-site consumption

An alert will be generated when a customer, employee or security guard consumes an item not bought in the store.

Other gestures that will trigger alerts

Picking up an item multiple times

Repeated sideways glances

Using two hands to take items from shelves

Interacting with several different bags.

Thanks to Videoguard, Security customers have seen a reduction in inventory shrink and theft, and have been able to remove repeat shoplifting offenders. To find out more about Videoguard and arrange your security needs, contact us today.