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GithubSingTown Technology's intelligent camera system, based on OpenMV, can be installed on field weeding machines to achieve intelligent recognition and tracking of operational and non-operational areas. Through AI and machine vision algorithms, the system can distinguish between crops and weeds, precisely control the weeding path, avoid accidental damage to crops, and provide an efficient and intelligent visual navigation solution for modern agricultural automation.

In modern agriculture, precise and automated weeding is key to enhancing field operation efficiency. Traditional weeding machines rely on manual operation or fixed-path operation, making it difficult to accurately distinguish between crops and weeds, leading to mis-removal or missed removal.
SingTown Technology's AI smart camera solution based on the OpenMV platform integrates machine vision and image recognition technology, enabling autonomous identification and path tracking of lawn mowers in the field.
The system captures real-time surface images via cameras. AI algorithms analyse the colour, form, and texture characteristics of vegetation to accurately distinguish green grass in the operational area. It automatically guides the lawn mower to adjust its route, precisely avoiding crops and concentrating on clearing weeds, achieving efficient and safe weeding operations. Even in environments with varying light, significant soil colour differences, or dense crops, the system maintains stable recognition.
The OpenMV intelligent camera features high frame rate, low power consumption, and compact size, enabling edge deployment at the head or chassis of a lawn mower. It achieves stable real-time detection and feedback control without requiring internet connectivity or reliance on external servers.
SingTown Technology is empowering smart agriculture with edge AI and embedded vision technologies, enabling weeding machines not only to "move autonomously" but also to "identify intelligently." This solution is widely applied in areas such as smart agriculture, unmanned agricultural machinery, and precision farming, facilitating the implementation of automated and precise operations.

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