Know Your Customer – and Know the Criminals

Innovate – Then Innovate Some More

PAK’nSAVE, the supermarket chain in New Zealand leaves nothing to chance when it is about security. Besides regular CCTV technology, the store has been a long-term user of Auror, a world-class crime intelligence platform that lets them report all crime events including the capture of vehicles of interest.

This solution was effective at allowing them to report, solve and prevent crime in their store and provided an opportunity to leverage additional technology. However, previously the store’s security manager, Roberta, needed to spend her time watching the CCTV system constantly, relying on her memory of license plates and faces.

So PAK’nSAVE asked…

How could we use the data in the Auror platform to know when an offender had entered the site? What if that process could be automated? How could we save time and make our business safer and life easier?

Introducing License Plate Recognition

It became clear that if the license plates of incoming vehicles were recognized automatically – and cross-checked with the platform – the store could be instantly alerted when a vehicle of interest had entered the car park.

Good solutions need good collaboration – so we teamed up with IQ Security and Auror. By implementing our easy-to-use license plate recognition software, Carmen® GO (now integrated with Auror), we delivered a complete solution providing real-time alerts of all known vehicles entering the car park.

The New, Automated Process

When a vehicle drives into the store parking area, it gets captured by a camera. The image, containing the license plate information is then transferred to the ANPR – Automatic Number Plate Recognition software that extracts the alphanumeric license plate data. This data is cross-checked with the Auror platform – without the need to manually enter any characters. If the number plate is flagged in the database (the vehicle had an incident in the past or it is a stolen vehicle), the system is triggered automatically and sends a real-time notification (SMS or push notification) to the allocated team.

What does it mean in practice? A clear benefit – the security team now has an instant understanding of anyone entering the store that matches the database – resulting in significant crime reduction.

Quick ROI and Impressive Results

A few months after the implementation the system is already providing significant value to the business through a crime reduction. PAK’nSAVE minimized its loss and has live information on any vehicle that enters the store parking area. Some numbers:

• Within 3 days of going live, the store had 5 known vehicles and 1 stolen vehicle enter the store.

• 90% of their losses (due to criminal activity) are now prevented – compared to earlier months.

  
  

Roberta could only say good things about the new system. She mentioned that the plate reading function has greatly helped her work – not only for efficiently monitoring the safety of her store but it also gives her and her family peace of mind. She gets real-time security alerts and always knows the offender’s record of previous crimes – so she knows in advance what to expect. If it is about a serious crime, she assembles her team or calls for police backup.

Further Usage of License Plate Recognition

This technology, often referred to as ALPR or ANPR – meaning the same: a software that recognizes license plates – offers several benefits in various environments. As we learned, ANPR can help reduce losses and decrease criminal activity. ANPR can also make business processes easier and more convenient, as Roberta experienced.

About the Client

PAK’nSAVE, established in 1985, is a discount food warehouse chain owned by the Foodstuffs cooperative. Known for its no-frills, bulk-buying approach, PAK’nSAVE emphasizes cost-saving measures to offer customers the lowest food prices. The stores feature simple designs and minimal advertising, focusing on essential products. PAK’nSAVE has been recognized as New Zealand’s most trusted supermarket for 13 consecutive years.