APEX Co., Ltd: Succeeded in developing AI function

SHIBUYA-KU, Japan - May 28, 2023 - PRLog -- APEX Co., Ltd: Succeeded in developing AI function that automatically converts forest data into photographs and point clouds acquired by drones and VTOL

(Head Office: Shibuya-ku, Tokyo; President: Yusuke Shimoto; hereafter "APEX"), a Japan-based company that operates the "Simple-Point" platform that automates 2D/3D data analysis using AI, has successfully developed a function that automates forest survey operations by using AI to decipher photo data acquired by drones and VTOLs.APEX has succeeded in developing a function that automates forest survey operations by using AI to decipher photo data acquired by drones and VTOLs.

The company will continue to automate forest survey operations by utilizing the latest AI technology.

AI development background

APEX Corporation's Simple-Point is a data analysis multi-platform that allows users to request examination of 3D data. In the field of carbon neutrality, the value of forest management is being reevaluated significantly. AI will make it possible to effectively manage forests, which are crucial to decarbonization, by automatically analyzing both image and point cloud data across vast forest areas that have previously been unmanageable. This will make it possible to maintain forests effectively, which are essential to the decarbonization process.

The digital twin also allows forest management to track changes in the forest by comparing the real world forest with the digital one. This allows for early response to problems as they arise. There are many benefits to digital twin and drone-AI forest management, and the use of these technologies will help promote more accurate and efficient forest management, which will help promote sustainable forestry and maintain the forest's carbon sequestration function.

Under the slogan of "AI x 3D Data Utilization in the Digital Twin Era," APEX supports a world where all forest management, infrastructure management, and construction management tasks can be automated through AI, and a digital twin can be used to compare real world data with digital data for proper management and planning of resources and infrastructure.

Main features implemented

Automatic classification of trees

Using AI for tree classification enables highly accurate and precise tree identification; AI can analyze multiple factors to identify trees, including tree shape, leaf shape, and branching. This allows for more accurate tree identification compared to traditional manual methods.

Accurate tree identification by AI enables an accurate understanding of the condition of trees in a forest and the development of appropriate management plans. AI can also predict future forest growth and carbon sequestration through machine learning

https://apex.tokyo/