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Determining the location of objects in the trading room using video analytics

For inventory tracking, management of logistics chains, filling store shelves with products, control of perishable products, and warehouse management, positioning of cargo carts inside the supermarket is used.

While waiting to be laid out on the shelves, the goods in the supermarket are for some time between the reception areas, short-term storage, the shopping hall and the display area.

To know exactly where a batch of goods is needed now and to reduce the time spent outside the refrigerator zone of products requiring a strict temperature regime, we suggest using an automated system for locating carts with goods using video analytics.

To determine the positioning of objects, the video recognition system of ARuCo markers, a simplified analogue of the QR code, is suitable. The algorithm for processing it is simple and fast.

AruCO codes are recognized from far distances and in low light conditions better than QR and BAR codes, which are rarely used for localization tasks due to the redundancy and need for high resolution. There is no need to purchase and use more expensive cameras.

The system quickly and accurately recognizes the ARuCo code, determines the location and stores it in the log.By the code number, full information about the time of arrival, unloading, movement between zones enters the management system and from there reports are generated for responsible persons according to the necessary criteria.

The customer can at any time find objects of interest in the video archive, configure reaction rules, transfer data for processing to other software integrated with the system.

Examples from an active object

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