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113th Year Practical Topics: Land Survey Image Recognition

編輯群2024-10-23

Industry: Artificial Intelligence Application Services

Industry Pain Points:

  • Due to the frequent changes in the use of land and buildings, traditional manpower auditing work is difficult to keep up with changes in a timely manner. This not only requires a large amount of manpower and financial investment, but is also limited by the complexity of the terrain and inspection efficiency, leading to delays in updating relevant data, affecting policy formation and management. Additionally, this approach is also difficult to rapidly respond to changes in land use in large areas, further increasing management and monitoring challenges, making it impossible to achieve high-efficiency, accurate land use surveys and tracking.

AI Benefits:

  • With advanced image recognition capability, it is possible to automatically identify various objects in images, such as buildings or concrete surfaces, and provide detailed related information, such as the area of land occupied by objects. The application of this technology significantly enhances the efficiency of agricultural and building inspections, especially in situations with limited resources or complex terrain, helping to save a substantial amount of execution costs. Through automated image recognition and data analysis, the inspection work becomes more accurate and efficient, reducing the burden on human resources.
  • Moreover, this technology can significantly enhance the accuracy of land taxation, assisting government agencies in quickly identifying potentially illegal land use situations. The system can automatically detect potential anomalies in images and compare them with existing land use data, rapidly identifying non-compliant usage methods. Such applications not only enhance regulatory efficiency but also strengthen the transparency of land management, helping to achieve more comprehensive land management goals, ensuring rational use of land resources, and reducing occurrences of illegal use.

Common AI Technologies:

  • Deep Learning, frameworks such as:YOLO、Faster R-CNN、SSD、Mask R-CNN、RetinaNet、EfficientDet。
  • Generative Artificial Intelligence, such as:OpenAIofGPT、AnthropicofClaudeetc.

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-12-02」