StopLift's "Accelerator" detects self-checkout
theft in real time
Retail chains can now receive realtime reporting on self-checkout theft and
other scan avoidance, prevent false alerts, and improve customer service at the
Checkout Vision Systems’ new Self-Checkout Accelerator.
With the Self-Checkout Accelerator, StopLift’s new capabilities prevent false
alerts and interventions, immediately flag unscanned merchandise at the
checkout, and alert the attendant before the customer leaves the checkout.
See real scan avoidance incidents at
Working with retailers on four continents, including Tesco in the UK, StopLift
has already detected and confirmed more than 1.7 million scan avoidance
incidents at thousands of manned and self-checkouts in retail chains, and
enabled retailers to improve cashier and self-checkout attendant training.
StopLift’s patented video analytics technology visually determines what occurs
during each transaction to immediately distinguish between legitimate and
fraudulent behavior at the checkout.
“The Self-Checkout Accelerator enhances weight-based security to handle a
broader spectrum of cases,” said Malay Kundu, Founder and CEO of StopLift.
“Until now, security at the self-checkout has been performed solely by weight
scales. Unfortunately, weight scales take time to settle, and legitimate
purchases do not always match their expected weight in the database. As a
result, conventional security measures often produce mistaken alerts which
frustrate customers, leading some retailers to disable security and expose
themselves to theft.”
StopLift’s video analytics enables self-checkouts to detect theft and
unintentional scan avoidance that circumvent the weight sensor. For example, the
system can detect merchandise left in the shopping cart or bagged outside of the
bagging area without scanning. With real-time alerts, the attendant is notified
right away so that he can take immediate action before the customer leaves the
“Our technology has found that shoplifting is as much as five times more likely
to happen in the self-checkout lane,” Kundu said.
The Self-Checkout Accelerator can also identify an item not meant for purchase
placed in the bagging area, such as a purse or reusable shopping bag, so that no
alert will be sent and no beep will occur.
By utilizing StopLift’s video analytics to “double check” potential alerts, the
Self-Checkout Accelerator can now effectively prevent unwarranted interventions.
This protects the shopper from the annoyance of having the transaction
interrupted, the embarrassment of having the self-checkout light flash, and the
frustration of waiting for an attendant to come and clear it.
“This means no more customer complaints of, ‘The machine beeped at me!’” Kundu
Fewer false-positive alerts make their way to the attendant, and more
trustworthy alerts are delivered, he said. The Self-Checkout Accelerator gives
the attendant the confidence to act properly on the alerts, rather than
haphazardly clear them, and cover a greater number of self-checkout stations.
This means greater productivity gains and associated labor savings for the
With attendants spending less time clearing false alerts, they can spend more
time providing true customer service. Customers have fewer interruptions at the
self-checkout and more positive face time with attendants, resulting in a
happier shopping experience!
In addition, uninterrupted transactions proceed faster for the customer,
allowing for more sales in less time. And with every self-checkout customer
checking out faster, this means shorter lines, less wait, and happier customers.