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Areas of use

Retailers face the challenge of ensuring product availability, avoiding empty shelves, displaying correct prices, maintaining transparent inventory levels, while simultaneously reducing theft and minimizing customer waiting times.
Machine vision enables the automated detection of out-of-stock situations, verification of price and promotion labels, visual inventory monitoring, customer flow analysis, as well as AI-based product identification and planogram compliance—directly at the point of sale.

Customized hardware for the retail industry

To meet the dynamic requirements of retail environments, IMAGO—an expert in embedded vision and AI—offers powerful, freely programmable vision systems that analyze data locally in real time.
IMAGO’s intelligent cameras and vision computers enable contactless, scalable, and privacy-compliant solutions that increase product availability, reduce manual routine tasks, minimize shrink, and sustainably improve the customer experience.

Typical Applications and Suitable Vision Systems

Vision Cam AI.go

Easy-to-use AI vision camera with on-device inference.

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Vision Sensor PV3

Small Image processing computer with an integrated camera.

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Vision Cam XM2

Area Scan Camera & Vision Computer – All-in-One.

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Industrial DashCam 1000

High-speed monitoring camera for real-time fault analysis.

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Industrial DashCam

High-speed industrial camera for automated process monitoring

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Sales Manager Christoph SiemonChristoph Siemon
Sales Manager

Telephone: +49 6031-684 26 13
sales@imago-technologies.com

Sales Manager Fabian GarbsDipl.-Phys. Fabian Garbs
Sales Manager

Telephone: +49 6031-684 17 84
sales@imago-technologies.com

Product consulting & request for quotation

Would you like to check whether smart cameras are ideal for your application?
Our team is happy to support you with product selection, integration, and application development. Send us your inquiry—we will advise you personally and prepare a customized offer.

















    FAQs on Vision in Retail

    Which retail challenges can machine vision solve?

    Machine vision systems address key challenges such as out-of-stock situations, empty shelves, incorrect price labeling, low inventory transparency, as well as theft and shrink. They enable continuous, automated monitoring directly at the point of sale.

    How does machine vision help detect out-of-stock situations and empty shelves?

    Cameras detect empty or incorrectly stocked shelf compartments in real time and automatically report deviations. This optimizes replenishment processes and reduces revenue losses caused by unavailable products.

    Can machine vision reliably verify prices and labels?

    Yes. Using OCR and image comparison, price labels and promotions are automatically checked. This ensures correct labeling and reduces complaints and compliance risks.

    How is shelf inventory monitoring automated?

    Products are visually counted and classified, enabling continuous inventory tracking—without manual scans or stocktakes. This increases transparency and saves significant time in daily operations.