SingTown Technology equips lawnmowers with 'eyes': they can distinguish crops from weeds and navigate around them independently.

SingTown 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 distinguishes crops from weeds, precisely controls the weeding path, 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, reliant on manual operation or fixed-path operation, struggle to accurately distinguish between crops and weeds, leading to instances of mistaken removal or missed weeding.

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 lawnmower to adjust its route, precisely avoiding crops and focusing on clearing weeds, thereby 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 offers advantages of high frame rate, low power consumption, and compact size. It can be deployed at the edge on the head or chassis of a weeding machine, enabling 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 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.