Alerts and context for a wide range of store events

Detectable risks, put in context by the video clip and live checkout data.

Each use case depends on the equipment already installed in the store and on local regulations.

Checkout events

The checkout line is supervised continuously: unregistered pass-throughs and full carts are flagged instantly on the tablet.

Summary
Checkout camera view: AI alert for goods moving through a closed checkout lane

Checkout camera view · closed-lane movement alert

Checkout detection

Unregistered checkout pass-through

Expected gains

  • Reduced shrinkage at the checkout
  • Deterrence of unscanned pass-throughs
  • Immediate video evidence to intervene
Checkout camera view: AI detection of a full cart crossing the checkout line

Checkout camera view · full cart detection

Checkout detection

Full cart crossing the checkout

Expected gains

  • Fewer misses and "bottom-of-basket" fraud
  • Targeted checks without slowing customer flow
  • Quantified volume data per checkout

Central alarm alerts

The store's existing alarms (emergency exits, panic buttons) are paired with cameras for immediate video verification.

Summary
Darwin store map showing an emergency exit alert paired with the camera

Darwin store map · accesses and cameras

Central alarm

Emergency exit opening

Expected gains

  • Sensitive accesses secured
  • Complete traceability of openings
  • Immediate reaction in case of abuse
Darwin tablet showing a cashier panic button alert with the checkout camera

Darwin tablet · checkout emergency alert

Central alarm

Cashier panic button

Expected gains

  • Reinforced protection for cashiers
  • Video verification before the intervention
  • Complete traceability of incidents

Suspicious shelf gestures

Computer vision spots suspicious behaviour right at the shelf concerned and alerts the agent before checkout.

Summary
Shelf camera view: AI detection of a product slipped into a backpack

Shelf camera view · backpack detection

Shelf detection

Shelf theft

Expected gains

  • Interception before the customer leaves the store
  • Immediate location of the aisle concerned
  • Video evidence for a controlled intervention

Behaviour detection is subject to local regulations and to the store's authorisation.

Darwin tablet showing a live alert for in-store consumption

Darwin tablet · time-stamped live video clip

Shelf detection

On-site consumption

Expected gains

  • Reduction of "consumption" shrinkage
  • Discreet, fast action on the floor
  • Steering of at-risk zones and time slots

Behaviour detection is subject to local regulations and to the store's authorisation.

Shelf camera view: AI detection of a product being opened

Shelf camera view · product opening detection

Shelf detection

Product opening

Expected gains

  • Fewer opened, unsellable products
  • Intervention at the right moment, without fixed monitoring
  • History of affected zones and products

Behaviour detection is subject to local regulations and to the store's authorisation.

Shelf camera view: AI detection of a suspicious concealment gesture

Shelf camera view · suspicious behaviour detection

Shelf detection

Item concealment

Expected gains

  • Interception before checkout
  • Focus on the most sensitive aisles
  • Fewer wrongful interceptions thanks to video

Behaviour detection is subject to local regulations and to the store's authorisation.

And other use cases already in the catalogue

Already installed and tested beyond the showroom, in live stores in Brazil, on the same platform and the same equipment.

  • Product not scanned at self-checkout
  • EAS antenna triggering
  • Guided surveillance rounds
  • Broken or fallen product in an aisle

Which use cases for your store?

Every store format has its priorities. An ROI study or a store PoC validates which use cases to deploy first, on your existing infrastructure.