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GithubIn traditional self-service restaurant settings, SingTown Technology's intelligent camera system based on OpenMV enables automatic recognition and price calculation of tray dishes. Different dishes correspond to plates of varying colours, shapes, and sizes. Through image recognition and machine vision algorithms, AI detects plate features in real time, automatically matches dish categories with prices, and delivers a fast, unattended checkout experience.

In traditional self-service restaurants, customer checkout typically relies on manual verification of dish types and quantities, resulting in cumbersome processes, low efficiency, and a high likelihood of errors.
SingTown Technology基於OpenMV開發嘅智能相機系統,能夠喺客戶端自動識別餐盤同計算價格,輕鬆提供更高效、準確同穩定嘅結帳體驗。
The system utilises cameras to capture tray images in real-time, distinguishing features such as the colour, shape, and size of plates through machine vision algorithms. This enables rapid identification of dish categories (e.g., meat dishes, vegetable dishes, staple foods, etc.) and automatically labels prices on the recognition interface. The edge AI algorithm maintains high recognition accuracy under various lighting conditions, angles, and backgrounds, while supporting user-defined model training to adapt and optimise for specific tableware styles. This embedded vision system can be directly integrated with POS settlement systems to achieve automatic pricing, statistics, and data analysis. The solution facilitates easy edge deployment—simply installing smart cameras at checkout lanes or tray return points enables fully automated recognition and settlement processes. SingTown drives the digital transformation of the catering industry with OpenMV intelligent vision technology, bringing AI into real-world dining scenarios to achieve faster settlements, more accurate management, and an enhanced intelligent operational experience.

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