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GithubSingTown嘅智能相機系統,基於OpenMV技術,能夠自動識別植物葉片、莖部等部位嘅害蟲痕跡。利用人工智能圖像識別同機器視覺技術,系統能夠捕捉蟲咬、斑點或病變等特徵,協助農場或研究人員實時監測植物健康狀況,實現精準蟲害防治同智能農業管理。

In modern agriculture and plant protection, timely detection of pest traces is crucial for crop health and yield. Traditional manual inspections are time-consuming, labour-intensive, and difficult to achieve full coverage. SingTown Technology's AI smart camera solution, based on the OpenMV platform, utilises machine vision and image recognition technology to develop an embedded vision system capable of automatically detecting pest traces on plant leaves, stems, and other parts.
The system utilises cameras to capture crop images and combines AI algorithms to analyse leaf texture, colour variations, and the morphology of holes or spots, identifying traces of pests or potential disease areas. Computer vision technology further extracts and quantifies characteristics such as location, size, and distribution, providing farms with visual pest distribution maps and real-time alerts.
OpenMV智能相機,體積小巧且功耗低,可靈活部署於溫室、田間監測點或無人機平台等邊緣位置,實現全天候持續監測。用戶可根據不同植物品種、葉片形態或害蟲類型訓練模型,以提升識別準確度與適應性。
SingTown Technology deeply integrates edge AI, machine vision, and image recognition technologies, enabling smart cameras to "see" subtle pest traces. This provides precise, automated monitoring and control solutions for smart agriculture, enhancing crop health management efficiency and productivity.

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