SingTown Technology's OpenMV Empowers Retail Supermarkets to Achieve Automated Shelf and Inventory Management

To address the inefficiency and error-proneness of traditional manual product management in supermarkets, as well as the inconvenience faced by consumers during shopping, it is necessary to leverage image recognition technology. The objective is to efficiently identify supermarket layout elements (such as area letter markings) and shelf products (such as canned items), thereby supporting intelligent supermarket management (including automated inventory statistics and out-of-stock alerts). Simultaneously, it aims to provide consumers with convenient services such as rapid product localization and information inquiries. The system must adapt to complex environments characterised by variable lighting and dense product occlusion in supermarkets. Algorithm optimisation is required to reduce hardware resource demands while ensuring real-time recognition performance, thereby meeting the immediate needs of both management and consumers.

Intelligent retail and supermarket equipment manufacturers have upgraded their AI visual solutions for store digitisation and management intelligence based on SingTown Technology's OpenMV intelligent camera recognition technology.

This solution integrates machine vision, AI image recognition, and computer vision algorithms, demonstrating outstanding performance in complex retail environments.
The system utilises a high-performance OpenMV intelligent camera to capture real-time images of supermarket floors and shelves, employing built-in AI algorithms to accurately identify area letter markers and product category distribution. By integrating colour recognition and template matching technologies, the system can swiftly differentiate shelf product types and perform quantity statistics, enabling automated inventory management and data collection.

In complex scenarios such as varying lighting conditions, stacked merchandise, and occlusions in supermarkets, OpenMV's automatic exposure and white balance functions intelligently adapt to ambient light, ensuring stable and reliable recognition results.

利用SingTown嘅軟硬件平台，商業設備製造商能夠喺唔改變現有系統架構嘅情況下，快速整合圖像識別功能。精簡嘅編程介面同全面嘅算法庫降低咗開發門檻，提升咗解決方案嘅實時性能同可擴展性。

This system leverages the advantages of embedded vision and edge deployment, including efficiency, real-time performance, and flexibility. It has been widely applied in smart shelves, unmanned supermarkets, and automated checkout terminals, enabling functions such as automated inventory statistics, out-of-stock alerts, product localisation, and information queries, thereby enhancing store operational efficiency and customer experience.
透過採用SingTown Technology嘅OpenMV智能相機AI圖像識別技術，智能零售同超市設備製造商可以更加方便、高效同輕鬆咁實現數碼化同智能化升級，搭上AI視覺時代嘅快車。