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Retail theft costs A$9 billion annually. We developed a theft detection solution for a leading Australian supermarket chain

Our solution analyses CCTV footage for suspicious activity in real-time, and notifies staff upon identification, allowing them to investigate the event immediately

What we were solving for

Costs of retail theft: Analysing live footage across multiple cameras is challenging for staff, resulting in most instances of theft being undetectedAnalysing live footage across multiple cameras is challenging for staff, resulting in most instances of theft being undetected

Security resourcing: Utilising AI/ML for theft detection, reduces security staff resourcing requirements

OptiSol solution

Movements of all shoppers' within the store are tracked using object detection models like YOLO and tracking algorithm like DeepSORT

Utilising multithreading to process information from multiple cameras, the frames are retried in real-time and processed

A score based on suspicious activities is calculated for every shopper

Security staff are notified of suspicious activity via a web based portal

What our Clients say

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