FAQ

Automatic Image Detection in Retail Locations

No. These systems analyze video in real time and can operate in an anonymous mode—without storing any data that could identify individuals. Compliance with GDPR regulations is crucial, including proper signage in the monitored area and using systems that meet legal requirements.

The system can provide insights such as: the number of visitors, time spent in the store, most frequently visited areas (heatmaps), traffic levels at specific hours, checkout queue lengths, and conversion metrics (e.g., ratio of entries to purchases).

Not necessarily. Many detection systems can be integrated with the current monitoring setup, provided the cameras meet minimum technical requirements (e.g., HD quality, constant access to video stream). In other cases, hardware upgrades may be recommended.

Examples include: improved staff scheduling, optimized store layout, quicker response to congestion or queues, more effective marketing campaigns (testing promotional material placement), and the ability to compare performance across days or seasons.

Yes, the system processes video in real time. Data can be displayed on an interactive dashboard, compiled into daily, weekly, or monthly reports, and exported to files (e.g., CSV, PDF). Real-time alerts are also available—for instance, when a queue exceeds a set number of people.

Beneficiary: PROSAL.ES Sp. z o. o.​

Project value: PLN 1 331 984,36, project funding: PLN 985 561,70.

Project co-financed by the European Union from the European Regional Development Fund under the Operational Program Eastern Poland 2014-2020, Priority Axis I: Entrepreneurial Eastern Poland, Measure 1.1 Starting platforms for new ideas, Measure 1.1 .2 Development of startups in Eastern Poland.

The aim of the project is to develop the business activities of PROSAL.ES Spółka z o.o. based on an innovative product and business model prepared under measure 1.1.1 of POPW. As part of the project, it is planned to create and implement an innovative platform in the form of software that suggests to sellers the purchasing potential of individual customers visiting a stationary store.

Gospodarcza 26,
20-213 Lublin

KRS 0000880160
NIP 9462703456
REGON 388012749

PROSAL.ES SP. Z O.O.

tel:+48 511 02 02 00
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