SingTown Technology gives lawn mowers 'eyes': they can distinguish crops from weeds and navigate around them on their own.

SingTown Technology's intelligent camera system, based on OpenMV, can be installed on field weeding machines to achieve intelligent identification and tracking of operational and non-operational areas. Through AI and machine vision algorithms, the system distinguishes crops from weeds, precisely controls weeding paths, avoids accidental damage to crops, and provides an efficient, 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 for lawn mowers in the field.

The system captures real-time surface images via cameras. AI algorithms analyse the colour, morphology, 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 focusing on clearing weeds, achieving efficient and safe weeding operations. Even in environments with varying light conditions, significant soil colour differences, or dense crops, the system maintains stable recognition.

The OpenMV intelligent camera features advantages such as high frame rate, low power consumption, and compact size. It can be deployed at the edge on the head or chassis of a lawn mower, enabling stable real-time detection and feedback control without the need for internet connectivity or reliance on external servers.

SingTown Technology is empowering smart agriculture with edge AI and embedded vision technology, 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.