Recognition and discrimination of objects and spaces using 3D data analysis.
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Deep Mesh: Recognition and discrimination of objects and spaces utilizing 3D data analysis.
◆Perform recognition and discrimination of objects and spaces using "3D Data Analysis": Deep Mesh◆ ~By utilizing a unique neural network, it converts images and videos into point cloud data to recognize the target. Using drone cameras and laser radars, it enables accurate understanding and analysis of the target with a tactile sense.~
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basic information
*Features of Deep Mesh: Recognizing and distinguishing objects and spaces through "3D data analysis"* Three technologies handled in 3D data analysis: ■ Classification ~ A technology for recognizing and distinguishing 3D objects. It can perform type determination and qualitative ranking, among other tasks. ~ ■ Identification of Parts ~ A technology that automatically distinguishes each part region of the target. It can extract necessary component information, etc. ~ ■ Spatial Recognition ~ Extracting objects from images and recognizing the boundary contours of each object. It can analyze area information from aerial 3D landscape data, among other sources. ~
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Delivery Time
※It will vary depending on the development requirements. Please feel free to contact us.
Applications/Examples of results
*Examples of Utilizing 3D Data Analysis* ■Determining the quality of blasting in tunnel construction ■Recognizing the presence of pedestrians ■Detecting movement direction and speed ■Estimating distance to objects
Detailed information
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*Examples of the use of 3D data analysis* ■Determining the quality of blasting in tunnel construction ■Recognizing the presence of pedestrians ■Detecting direction and speed of movement ■Estimating distance to objects
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The world of ICT has been continuously developing and evolving at a rapid pace. It has contributed to the creation of many values and achieved solutions to customer and societal issues, thereby contributing to the happiness of many people. The dramatic evolution of technology has greatly improved convenience and has fostered many forms of human interaction that were previously impossible. However, over the past decade or so, I feel that significant changes have emerged in the world of ICT. While it brings happiness to people, it seems that the "side effects" that accompany it have become greater than before. Crimes that exploit technology have increased, information is overflowing, and it has become difficult to discern the truth. The development of social media has expanded the ways in which people communicate, but it has also brought various issues to the forefront, such as violations of human rights, privacy, and copyright. In the future, the field of ICT will continue to evolve rapidly, and its impact on society will also increase. That is why it is essential to engage in business while being aware of the negative aspects that such changes create, and to consider how to mitigate those side effects while making people happy through ICT. I believe that this is also the responsibility of those involved in ICT.
