SAI Groups

Produce Detection at Self-Checkout

Smart technology designed to simplify the shopping journey. By automatically recognizing unbarcoded items, we’re reducing checkout fraud and ensuring a smoother experience for everyone.

Detailed view : Revolutionizing Self-Checkout with AI Produce Detection

Produce Detection is revolutionizing the self-checkout experience in retail environments. By using CCTV cameras and artificial intelligence, this technology identifies fruits and vegetables without barcodes, reducing errors, fraud, and customer frustration. It streamlines checkout, ensures greater accuracy, and makes the process more accessible and inclusive for shoppers of all backgrounds.

What is Produce Detection?

Self-checkout kiosks are increasingly popular in retail stores as they offer customers convenience and reduce wait times. However, traditional self-checkout systems often rely on barcode scanning, which can present a number of challenges — especially with fresh produce and items that lack barcodes. Produce Detection is an innovative feature of SAI visual AI platform that leverages artificial intelligence and computer vision to identify produce items automatically.

How Produce Detection works?

Produce Detection uses cameras and advanced machine learning algorithms to analyze the appearance of produce items placed on the kiosk scale or in the scanning area. The system recognizes characteristics such as shape, color, size, and texture to accurately identify the type of produce and through after identification of the item, the system prevents incorrect or fraudulent billing. This technology makes the self-checkout process less prone to human errors and prevents loss in self-checkouts.

Benefits of Produce Detection

Missing barcodes:

Many produce items do not have barcodes, requiring customers to manually search for the item in the system or enter a PLU code. Manual entry of produce items can result in customers selecting the wrong item, either intentionally or by accident. As the Produce Detection feature can recognize the item, it can prevent incorrect billing and loss

Fraud and shrinkage prevention:

Customers may sometimes mislabel expensive produce as a cheaper item during self-checkout. The Produce Detection feature reduces this risk by verifying the visual identity of the item, helping retailers prevent loss due to mislabeling or fraud.

FAQ

How does SAI visual AI platform detect produce items?

The system uses cameras and machine learning algorithms to analyze the visual features of each item, such as color, shape, size, and to detect produce items. When the system detects an error, it sends an alert to the kiosk, giving the customer an opportunity to take corrective action.

Can Produce Detection identify packaged or processed produce?

While the Produce Detection feature is primarily designed for loose produce, it can also recognize packaged items.

How does this feature benefit retailers?

The Produce Detection feature reduces checkout errors, speeds up transactions, prevents fraud, enhances customer experience, and improves stock and inventory accuracy.