Malay Kundu founded and serves as CEO for StopLift Checkout Vision Systems, which has developed checkout vision software that automatically detects unscanned merchandise at the manned and self-checkouts at supermarkets and retailers around the world. It analyzes regular CCTV video to detect various forms of theft, training error, and operational analytics.
“For now, self-service technology is multiplying the opportunity for dishonesty, rather than eliminating it.” […] “Malay Kundu, who developed a facial recognition system to spot terrorists in airports now uses similar technology to catch a growing contingent of self-checkout thieves.”
Even that Thanksgiving turkey is costing supermarkets – and you – money. Who’s watching those overhead cameras at the checkout? Supermarkets and retailers have implemented StopLift, whose technology detects unpaid merchandise on the conveyor belt, in the shopping cart, or reusable bag at both the manned and self-checkout.
One vendor has refined video analytics for retail outlets to the point where it can flag up specific behaviour around scan avoidance, at manned and self-checkout areas, with a high degree of accuracy. Interestingly, Malay Kundu, from StopLift Checkout Vision Systems – the leading player in this field – cut his teeth in facial recognition systems in airports and says that StopLift itself actually grew out of a Harvard Business School research study ‘Project StopLift’ on ‘Retail Loss Prevention’.
Retail chains worldwide are installing StopLift Checkout Vision Systems’ Scan-It-All video recognition technology to detect scan avoidance incidents at both the manned and self-checkout. From retailers on four continents, including Tesco in the UK, StopLift has already detected and confirmed more than 1.7 million incidents at thousands of checkouts.
Santa hats and holiday gifts are being stolen in plain sight – at both the manned and self-checkout. Overhead cameras at the checkout are detecting the growing theft of retail goods. But who’s watching the cameras?
StopLift’s ScanItAll™ video analytics software uses your existing checkout cameras to visually determine what occurs during each and every POS transaction to identify loss at both manned and self-checkouts.